Dimensions Of Discrimination Research Articles

Hiring intentions at the intersection of gender, parenthood, and social status. A factorial survey experiment in the UK labour market

Abstract Extant literature points to the gender, parenthood, and social status of job applicants as crucial factors influencing employers’ hiring preferences and behaviours. However, little is known about whether and to what extent the intersection of these attributes leads to specific forms of hiring discrimination. This study aims to fill this research gap by examining whether labour market (dis)advantages related to gender, parenthood, and social status occur in an additive or interactive relationship. We conducted a factorial survey experiment in which more than 2,500 UK-based individuals with recruiting experience rated the profiles of fictitious candidates for various job vacancies. We found significant and substantial discrimination against mothers, indicating the existence of a cumulative disadvantage between being a woman and having children, while high-status candidates were more favourably positioned, albeit with noteworthy differences depending on how social status was signalled. Most interestingly, the motherhood penalty was significantly reduced (up to almost half) for high-status candidates, suggesting a compensatory effect of signalling a high status. This novel evidence in the British context highlights the importance of examining the intersection of different dimensions of discrimination and inequality.

Unequal Spaces: An In-depth Analysis of Caste Discrimination in Indian Universities

Caste discrimination in higher education in India remains a deeply entrenched and pervasive issue, presenting formidable barriers to the goal of achieving equal access and opportunity for all. The article explores the various dimensions of caste discrimination in education, including the denial of equal educational opportunities, the perpetuation of humiliation, and the resultant psychological trauma experienced by victims. Additionally, it examines the role of faculties and the increasing trend in the suicide of students, especially Dalit students. Based upon the qualitative data collected from Dalit scholars, the study describes the everyday struggle of Dalit students who experience stereotypes, subtle discrimination and prejudice on campus due to their caste identity. It discusses how this discrimination not only hampers individual growth and potential but also contributes to the perpetuation of social inequalities and reinforces stigma, resulting in the social exclusion of Dalit students in higher education.

A Dramaturgical Position to Reveal the Affect of Space on Discriminatory Judgments of Behaviour

AbstractBuilt environment disciplines investigate how spaces affect discriminatory judgments between community members through a body of knowledge called discriminatory design. Spatial-discriminatory events occur in various ways, however, they are more potently identified and studied in relation to the static attributes of people and space; how people look, or where they are in relation to space. This paper answers calls from scholars for an alternative position to investigate how spaces affect judgments of people’s behaviour. The paper builds and rationalises a theoretical hypothesis formed through Goffman’s dramaturgy which is tested and refined through a survey-experiment. The study offers an alternative theoretical position for researchers that aim to bring the behavioural dimension of spatial discrimination into focus.

Time, Materiality, and History in UK-Based Interfaith Solidarity Work

In this paper, building upon ethnographic fieldwork conducted among members of one initiative of Jewish-Muslim dialogue in the UK, I discuss how my interlocutors thematize the temporal dimension of anti-minority discrimination and perceive remaining historical material heritage associated with it. Using the example of problematic artifacts pertaining to mediaeval Lincoln, such as the so-called “shrine of Little Hugh,” I discuss how in engaging the memory of traumatic past events in Jewish history activists of inter-faith dialogue reflect on their current conditions of minoritization and attempt a projection of their communities’ lives in the UK in the future. I also borrow insight from the presentist theoretical framework in anthropology of time to highlight the impact my interlocutors’ life histories have had on the way they relate to and conceptualize their own and other minoritized groups’ histories and imagine their personal and collective futures based on their experiences in the present. I suggest that in these reflections, narratives of positive historical trajectories in the minority experience sit alongside an anticipation of multiple possible futures, some inflected with anxiety about a repetition of difficult pasts, others imbued with a vision connecting the past, present and future of minoritized communities into a common presence.

Passport discrimination from the lens of critical phenomenological perspective

PurposeLittle is known about how international individuals and travelers face and experience discrimination due to their passport. The purpose of this study is to explore factors that contribute to a new form of discrimination, i.e. passport discrimination. There exists a dominant gap in the literature, both empirically and theoretically, which explores this dimension of discrimination. To better understand this central phenomenon, this study amalgamated the concepts from the theories of social identity, self-categorization and system justification.Design/methodology/approachTo delve into the essence of the participants’ lived experiences with passport discrimination, this study employed the existential-phenomenological philosophy of a qualitative research design. Data were gathered from personal interviews with 10 passport holders from different Asian countries.FindingsThe findings of this study revealed that citizens of developing and underdeveloped countries commonly experience passport discrimination in salary structure, promotions, training and hiring processes. Additionally, they face passport discrimination during visa issuance and proceedings at immigration counters.Originality/valueThis study unlocks the door for researchers to explore new dimensions of discrimination. Future studies may investigate the level of impact of passport discrimination from a human resource perspective through a positivist approach.

Discriminating Factors of Formal and Informal Micro-Credits Programs in Bangladesh: An Efficiency Approach

Purpose: The study aims to identify the factors influencing the choice of formal and informal micro- credits programs in poverty alleviation of Bangladesh especially in Haor area. Methodology: The study has covered a total of 2340 households’ respondents where 1560 actual microcredit users and 780 eligible micro-credit users while they did not use micro-credits as control (50% of the cases) group for comparison purpose. The characteristics of control households are almost similar to the cases (micro-credits recipient) households. Total survey area has been divided into thirty clusters and the survey was made with a structured questionnaire to measure the impact on poverty of both types of credits and find out the dimensions of discrimination. The group means, pooled group correlation matrix, covariates for discrimination, and validation of two-group discriminant finally Fisher’s linear discriminant function were used to reach in the conclusion. Findings: The study identified that the installment types are the most important predictors in discriminating between formal and informal micro-credits groups, followed by duration of loan, interest rate, gender of loan receivers, earning status of loan receivers, and regular income source in the households and so on and this is also confirmed by cross-validation analysis. Fisher’s linear discriminant function forecasted that the new member with discriminant scores above 0.44 supposed to borrow from the informal sources however the members having below of the score will borrow from formal sources. Practical Implications: The lenders will be able to design effective micro-credit programs considering the needs of the users. Originality/Value: The research is the first attempt to identify the discriminating factors between formal and informal micro-credits with large volume of solid primary data. Limitations: The study did not make any in-depth-interview regarding the issue.

When are You Recovered? Defining Cutoff Points Using the Acute Respiratory Tract Infection Questionnaire

ObjectivesAcute respiratory tract infections (ARTIs) are a heterogenous group of diseases. Often, it is difficult to obtain a precise diagnosis in general practice but also difficult to determine when the patient is recovered. The lack of a precise definition of recovery after ARTI complicates scientific research aiming to optimize diagnostics and compare treatments. The study aimed to define cutoff points to determine the end of an ARTI as a proxy for recovery in patients diagnosed with ARTI in general practice using a validated patient-reported outcome instrument; The ARTI Questionnaire (ARTIQ). MethodsA total of 259 participants was divided in 2 groups—1 with ARTI and 1 without. Histograms and area under the curve were calculated for each of the 5 dimensions within the ARTIQ to evaluate the discriminative effect. For the most discriminative dimensions receiver operating comparison curves were performed to determine relevant cutoff points for having or not having ARTI symptoms and serve as a proxy for recovery in clinical research. ResultsThe highest discriminative effect was found in 2 dimensions: “physical—upper airways” and “physical—lower airways.” When combining these dimensions, the area under the curve was 0.97. Sensitivity, specificity, and predictive values were calculated for selected cutoff points. ConclusionCutoff points serving as proxy for recovery from ARTI using a patient-reported outcome were identified. The specific cutoff point for a certain research project must be selected considering the specific clinical situation of interest.

HIV and intersectional stigma among people living with HIV and healthcare workers and antiretroviral therapy adherence in the Dominican Republic.

HIV-related stigma, discrimination, and social marginalization undermines optimal HIV care outcomes. More research examining the impact of HIV-related stigma, discrimination, other interlocking forms of oppression, and antiretroviral therapy (ART) adherence is needed to optimize HIV treatment programming. This study uses data from two clinics in the Dominican Republic to examine client and healthcare worker (HCW) perceptions of HIV and intersectional stigmas among people living with HIV. Surveys exploring demographics, HIV-related stigma, various dimensions of discrimination (race/ethnicity, HIV status, sexual orientation), healthcare engagement, and medication adherence were collected from 148 clients and 131 HCWs. Analysis of variance was conducted to examine differences in stigma by clinic and logistic regressions were used to determine predictors of optimal client medication adherence. Perceived discrimination in healthcare facilities due to clients' sexual orientation retained significance in crude and multivariable logistic regression models and was negatively associated with ART adherence (aOR:0.79; 95% CI:0.66, 0.95). Findings highlight the importance of implementing strategies to address stigma, discrimination, and social marginalization, particularly within healthcare facilities.

Establishment and Validation of a Risk Prediction Model for Non-Invasive Ventilation Failure After Birth in Premature Infants with Gestational Age < 32 Weeks.

This study was performed to construct and validate a risk prediction model for non-invasive ventilation (NIV) failure after birth in premature infants with gestational age < 32weeks. The data were derived from the multicenter retrospective study program - Jiangsu Provincial Neonatal Respiratory Failure Collaboration Network from Jan 2019 to Dec 2021. The subjects finally included were preterm infants using NIV after birth with gestational age less than 32weeks and admission age within 72h. After screening by inclusion and exclusion criteria, 1436 babies were subsequently recruited in the study, including 1235 infants in the successful NIV group and 201 infants in the failed NIV group. (1) Gestational age, 5min Apgar, Max FiO2 during NIV, and FiO2 fluctuation value during NIV were selected by univariate and multivariate analysis. (2) The area under the curve of the prediction model was 0.807 (95% CI: 0.767-0.847) in the training set and 0.825 (95% CI: 0.766-0.883) in the test set. The calibration curve showed good agreement between the predicted probability and the actual observed probability (Mean absolute error = 0.008 for the training set; Mean absolute error = 0.012 for the test set). Decision curve analysis showed good clinical validity of the risk model in the training and test cohorts. This model performed well on dimensions of discrimination, calibration, and clinical validity. This model can serve as a useful tool for neonatologists to predict whether premature infants will experience NIV failure after birth.

Racial and gender differences in discrimination and psychological distress among young adults

Racial and gender differences in the effects of discrimination on health are well-established. The evidence has derived largely from studies of older adults, with less attention paid to younger adults. The current study takes an intersectional approach to address this gap. Using nationally representative, longitudinal data from the 2017 and 2019 Panel Study of Income Dynamics Transitioning to Adulthood Supplement (PSID-TAS), we assess the effects of everyday discrimination on psychological distress among Black and White young adults aged 18–28 (n = 3894). We examine cumulative discrimination and individual items of the cumulative measure based on the Everyday Discrimination Scale. The analysis reveals that perceived discrimination is positively associated with psychological distress for each race-gender group. However, the magnitude of the association varied by group and dimension of discrimination. Black men and women reported more frequent experiences of each type of discrimination than their White counterparts. The positive association between discrimination and distress, however, was lower for Black men and women relative to White men— suggesting that White men may be more sensitive to and/or less resilient against the effects of perceived discrimination. In contrast, associations for White women did not differ significantly from those of White men. Our findings demonstrate that the health-harming effects of discrimination on psychological distress begin early in the life course and suggest that resilience-based coping mechanisms found in older samples of Black adults may also exist for younger adults.

Discrimination Against Vulnerable Personnel in the Workplace

Abstract The paper aims to address the dimensions of discrimination faced in the labor market, from the perspective of the employment process and workplace discrimination by some categories of vulnerable staff, as defined in the reports of the European Union, and the reports of the Romanian institutes, bodies and NGOs. The literature focuses mainly on vulnerable groups, frames, and situations of discrimination, types of vulnerabilities or methods by which these people are discriminated against, and too little on the coping mechanisms that they use. The research method was a questionnaire survey using a quantitative methodology. It consists of several sections and was administered to a sample of 66 respondents, aged over 18 years. The research questions aim to reveal the discriminations that occur and how these manifest. After the application of the questionnaire, the data was interpreted by the authors and it emerged that the discrimination manifests in various ways from the early stages of the employment process until the conclusion of the individual employment contract. The aim was to quantify and expose harmful practices of the employers that promote practices that are considered unethical, illegal, or discriminatory, in some cases, and that have repercussions on the individual, on the company in which they work, by affecting the working environment, creating internal tensions and creating a toxic organizational culture leading to a negative financial impact.

Development, Application and Utility of a Machine Learning Approach for Melanoma and Non-Melanoma Lesion Classification Using Counting Box Fractal Dimension.

The diagnosis and identification of melanoma are not always accurate, even for experienced dermatologists. Histopathology continues to be the gold standard, assessing specific parameters such as the Breslow index. However, it remains invasive and may lack effectiveness. Therefore, leveraging mathematical modeling and informatics has been a pursuit of diagnostic methods favoring early detection. Fractality, a mathematical parameter quantifying complexity and irregularity, has proven useful in melanoma diagnosis. Nonetheless, no studies have implemented this metric to feed artificial intelligence algorithms for the automatic classification of dermatological lesions, including melanoma. Hence, this study aimed to determine the combined utility of fractal dimension and unsupervised low-computational-requirements machine learning models in classifying melanoma and non-melanoma lesions. We analyzed 39,270 dermatological lesions obtained from the International Skin Imaging Collaboration. Box-counting fractal dimensions were calculated for these lesions. Fractal values were used to implement classification methods by unsupervised machine learning based on principal component analysis and iterated K-means (100 iterations). A clear separation was observed, using only fractal dimension values, between benign or malignant lesions (sensibility 72.4% and specificity 50.1%) and melanoma or non-melanoma lesions (sensibility 72.8% and specificity 50%) and subsequently, the classification quality based on the machine learning model was ≈80% for both benign and malignant or melanoma and non-melanoma lesions. However, the grouping of metastatic melanoma versus non-metastatic melanoma was less effective, probably due to the small sample size included in MM lesions. Nevertheless, we could suggest a decision algorithm based on fractal dimension for dermatological lesion discrimination. On the other hand, it was also determined that the fractal dimension is sufficient to generate unsupervised artificial intelligence models that allow for a more efficient classification of dermatological lesions.

İŞLETMELERDE AYRIMCILIK: ÖRNEK OLAYLAR İLE BİR İNCELEME

Although discrimination is an undesirable situation that harms both societies oath businesses, it continues to be implemented in many different ways. These practices create many negative effects, both material and morale, in the long term. The issue of combating discrimination is specifically addressed within businesses, where efforts are made to propose solutions for its negative consequences. Within the scope of this struggle, different dimensions of discrimination in businesses were defined and analyzed in the research. In the research, in addition to examining the types of discrimination that have emerged in businesses from past to present, based on the literature current discriminatory behaviors in businesses were also identified. Various types of discrimination in the literature include forms of discrimination in different categories such as gender, age, ethnicity, sexual orientation, disability. By associating these different types of discrimination with experiences in the business world, the research reveals how business employees are exposed to this type of discrimination . Of this context, semi- structured questions were asked to 38 white-collar employees using the interview. During the analysis of the participants' experiences, significant issues were considered, including the impact of discrimination on business life and the effectiveness of diversity and equality policies in workplaces. As a result, this research contributes to our understanding of how business employees deal with different types of discrimination and ways to create more fair environment in the workplace. It is expected that this research will contribute to improving anti-discrimination strategies oath creating more egalitarian environment in the business world.

Love-jihad

Love-jihad is a conspiracy theory created by the Hindu right in India, which claims that Muslim men lure Hindu girls with love, marry them and then force them to convert to Islam. Language is used in legal, procedural and media-mediated ways to frame Muslim men and Hindu women and construct the nation-state. Using work on language and propaganda, as well as critical postcolonial studies, as theoretical frameworks, this article argues that the Hindu right uses language as a weapon to cause harm to Hindu women and Muslim men, and to reinforce Hindu supremacy. A study of language used by political leaders about love-jihad offers a look at the collusion between different dimensions of discrimination. On the one hand, nationalist Hindus discriminate against Muslim men; on the other hand, the same Hindus are weakening Hindu women’s abilities to make decisions about their own lives. The article also shows that the seeds of harm that are sown with propagandist language result in the creation of anti-Muslim legislation, which also harms Hindu women.

Gender Inequality and Racial Discrimination: A Study of Marlon James’ Literary Landscapes with Special Reference to Sustainable Development Goals

This research paper explores the intricate relationship between gender roles and discrimination as depicted in the literary works of Marlon James, a prominent contemporary author whose narratives often dissect complex social issues. Grounded in the context of Sustainable Development Goal 5 (SDG 5) - Gender Equality, this study investigates how James' literary landscapes mirror and illuminate the multifaceted dimensions of gender-based discrimination. By employing a qualitative analysis of selected novels, including A Brief History of Seven Killings and The Book of Night Women, this research discerns the ways in which gender roles and stereotypes perpetuate discrimination and inequality, impeding the realization of SDG 5. This study underscores the importance of literature as a tool for raising awareness and fostering dialogue on gender-related issues. By drawing connections between Marlon James’ narratives and the global pursuit of gender equality, this research elucidates the potential for literature to drive social change and inspire action towards achieving SDG 5. Within this context, the present research embarks on a meticulous exploration of Marlon James’ literary terrain, with a particular focus on his portrayal of women characters. By aligning the principles and objectives of SDG 5 with the nuanced depictions of gender roles and discrimination within Marlon James’ narratives, this study uncovers implications that resonate deeply with the aspirations of sustainable development. By scrutinizing the experiences of women characters within his narratives, this study illuminates the potential for literature to reflect, critique, and inspire action towards the achievement of gender equality and the broader goals of sustainable development. Ultimately, the goal is to create a world where women and girls have equal opportunities, rights, and protections, and where gender-based discrimination and violence are eradicated.

"The kids get haggled over": how institutional practices contribute to segregation in elementary schools.

School segregation is a key topic in urban, educational and inequality research. While previous studies have mainly focused on the effects of both parental school choice and residential segregation patterns on the composition of schools, we draw attention to institutional players steering access to elementary schools as one important dimension of institutional discrimination. Combining expert interviews with school principals and the local schools department with a quantitative survey among parents, we scrutinize the interplay between institutional structures and practices and parental school choice strategies. We identify three dimensions of institutional discrimination as being particularly relevant for school access, and thus for school segregation and inequality: a school's guidelines and strategic objectives in dealing with segregation, the enrollment process, and a school's profiling and information policies. These factors prove to be rather subtle, yet crucial facets of institutional discrimination, co-producing and perpetuating spatial inequalities.

Remapping Caste, Dalits, and Nature: Socio-Ecological Realism in Bheda

ABSTRACT This article investigates the workings of the caste system and its negative impact on Dalit lives and Nature as represented in Akhila Naik’s Bheda. Using the broad approach of ecocriticism, it focuses on ‘environmental casteism’ to assess various dimensions of caste discrimination meted out to the Dalits. It exposes the paradoxical underpinnings of the naturalisation of caste and varna system through which Dalits and various landscapes, water bodies, and forests have been subjugated and appropriated in different times and spaces. The study will also identify the eco-precariousness of Dalits through different casteist, state-backed, ecological, and educational institutions that underwrite casteism, and it also argues for Dalit socio-ecological struggle coupled with Dalit ‘consciousness of kind’. Furthermore, the study not only divulges the Brahmin-Bania duo’s black marketeering that has deprived the Kalahandi district of its rich natural resources but also celebrates Dalit socio-ecological egalitarian approach espoused, particularly, by Laltu, the protagonist.

The social patterning of vicarious discrimination: Implications for health equity

BackgroundMost research on discrimination and health operationalizes discrimination as direct individual experiences. Here, we examine the social patterning of vicarious discrimination, an important but largely overlooked dimension of discrimination. MethodsDrawing on community-based participatory research with a multi-stage probability sample (n = 178) of African Americans in Tallahassee, Florida, we measured vicarious discrimination, or exposure to discrimination through one's family and friends. We used chi-square tests to examine gender differences in the social domains and relational sources of vicarious discrimination. Negative binomial regression models were fit to identify predictors of exposure to vicarious discrimination. ResultsVicarious discrimination is more prevalent than direct experiences of discrimination (73 versus 61%) and more than 20% of participants report vicarious discrimination in the absence of direct discrimination. For women, vicarious discrimination most often involved the workplace; for men, police. However, gender differences are smaller for vicarious versus direct discrimination. Close friends and children were top relational sources of vicarious discrimination for men and women, respectively. Middle-aged participants reported the most vicarious discrimination. ConclusionsOverall, our data show that vicarious discrimination is more common than widely understood and associated with individual-level sociodemographic characteristics that index one's position in broader social systems. The prevalence of vicarious discrimination in the absence of direct discrimination suggests that standard approaches, which measure individual exposures in isolation, are subject to misclassification bias. Our results imply that existing research on discrimination and health, which already demonstrates substantial harm, underestimates African Americans' true exposures to salient aspects of discrimination.

WAGE GAP AND PREFERENCES: A MICRO-LEVEL ANALYSIS

During the past few decades, women have entered the labour market in large numbers but there is still wide gender segregation in education, work participation, employment, and occupational pattern all over the world. The main objective of this paper is to explore all aspects and dimensions of wage discrimination and attitudes of choices responsible for this segregation. A sample survey of working population engaged in two sectors, which employ a substantial number of women (education and medical), is conducted. Findings show that women generally accumulate less human capital than men. They have lower educational attainment than their male counterparts. They have a greater concentration on non-technical courses and subjects in arts and fine arts. Due to family responsibilities, women’s labour force participation tends to be more interrupted and women participate in labour market for fewer years than men and therefore gain less experience. Women hold less advantageous work positions. Regression results show that education, experience, family obligations, working conditions etc. significantly affects wages.

MP09-06 ASSESSMENT OF A NOVEL BPMRI-BASED MACHINE LEARNING FRAMEWORK TO AUTOMATE THE DETECTION OF CLINICALLY SIGNIFICANT PROSTATE CANCER USING THE PI-CAI (PROSTATE IMAGING: CANCER AI) CHALLENGE DATASET

You have accessJournal of UrologyCME1 Apr 2023MP09-06 ASSESSMENT OF A NOVEL BPMRI-BASED MACHINE LEARNING FRAMEWORK TO AUTOMATE THE DETECTION OF CLINICALLY SIGNIFICANT PROSTATE CANCER USING THE PI-CAI (PROSTATE IMAGING: CANCER AI) CHALLENGE DATASET Andre Luis Abreu, Giovanni Cacciamani, Masatomo Kaneko, Vasileios Magouliantis, Yijing Yang, Vinay Duddalwar, C-C Jay Kuo, Inderbir Gill, and Chrysostomos L. Nikias Andre Luis AbreuAndre Luis Abreu More articles by this author , Giovanni CacciamaniGiovanni Cacciamani More articles by this author , Masatomo KanekoMasatomo Kaneko More articles by this author , Vasileios MagouliantisVasileios Magouliantis More articles by this author , Yijing YangYijing Yang More articles by this author , Vinay DuddalwarVinay Duddalwar More articles by this author , C-C Jay KuoC-C Jay Kuo More articles by this author , Inderbir GillInderbir Gill More articles by this author , and Chrysostomos L. NikiasChrysostomos L. Nikias More articles by this author View All Author Informationhttps://doi.org/10.1097/JU.0000000000003224.06AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookLinked InTwitterEmail Abstract INTRODUCTION AND OBJECTIVE: To develop a novel biparametric magnetic resonance imaging (bpMRI)-based machine learning (ML) framework to automatically detect prostate lesions using the PI-CAI (Prostate Imaging: Cancer AI) Challenge Dataset. PI-CAI is an annotated multi-center dataset of 1300 bpMRIs publicly available to validate ML algorithms performance at csPCa (Grade Group ≥2 ) detection and diagnosis. METHODS: We used the Green Learning paradigm for feature extraction, which offers a lightweight model size and explainable feature extraction process. We use the IPHOP-II method that decomposes the input into a spatial-spectral representation, where the discriminant dimensions are kept through feature selection and eventually fed to the classifier. IPHOP-II takes as input T2W, ADC and DWI high b-value to generate per voxel features for classification. The classifier is trained to discern between csPCa and non-csPCa. After training, the ML detector was tested to predict voxel-wise probabilities for csPCa on 100 bpMRIs (unseen). Per-lesion Average Precision metric (AP) and average per-Patient ROC (Area Under the Curve - Receiver Operating Characteristic - AUROC) for the presence of csPCa are used to evaluate our detector. The PI-CAI score is the average of AP and AUROC. Results were also stratified accordingly to PSA density. RESULTS: A total of 1200 bpMRI were used for training the ML model and tested on 100 bpMRIs (Figure 1). In the testing set, the average AP for csPCa detection per lesion was 0.47, with a sensitivity of 0.61 precision 0.42 rate at Youden’s index cutoff. On the patient-level analysis, the AUROC was 0.81 and a sensitivity of 0.92 at a 0.43 false positive rate. The PI-CAI score was 0.64. In the subset analysis considering only patients with PSA density ≥0.2ng/ml2 we found an improvement in the classification task with the AUROC was 0.83 and a sensitivity of 0.94 at a lower 0.41 false positive rate. CONCLUSIONS: These results show the feasibility of a novel bpMRI-based ML framework to automatically detect csPCa. The proposed ML framework, supported by clinical variables could be tested to assist healthcare providers in improving the performance of automated csPCa detection. Source of Funding: None © 2023 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 209Issue Supplement 4April 2023Page: e106 Advertisement Copyright & Permissions© 2023 by American Urological Association Education and Research, Inc.MetricsAuthor Information Andre Luis Abreu More articles by this author Giovanni Cacciamani More articles by this author Masatomo Kaneko More articles by this author Vasileios Magouliantis More articles by this author Yijing Yang More articles by this author Vinay Duddalwar More articles by this author C-C Jay Kuo More articles by this author Inderbir Gill More articles by this author Chrysostomos L. Nikias More articles by this author Expand All Advertisement PDF downloadLoading ...