Career In Radiology Research Articles

Reconciling pregnancy, parenthood, medical training and a career in radiology

Reconciling pregnancy, parenthood, medical training and a career in radiology

Female interns are not choosing radiology as a career-national survey providing insights into gender imbalance.

Women are under-represented in Radiology, both globally and in Ireland. An annual review of the medical workforce in Ireland for the year 2021-2022 revealed that although the overall gender breakdown of trainees is similar, with 56% female and 44% male trainees, certain specialities have disproportionate numbers of a given gender. Females only account for 38% of Irish Radiology trainees, one of the lowest of all the specialties. The cause for this disparity is likely multifactorial, but a lack of interest inapplying for Radiology training by female doctors is a possible cause. The objectives of this study were to identify specific factors that attract or deter intern doctors from considering a career in Radiology and to identify underlying gender-specific differences. Anonymous online surveys were distributed to 50% of the intern population in Ireland between May and June 2022. The survey included questions on demographics, prior radiology exposure, and dedicated multiple-choice questions for those either considering or not considering radiology, which were subdivided into potentially influencing factors. Two-hundred-seven interns responded giving a response rate of 48.3%, which totalled almost 25% of the interns in Ireland. For those interns considering radiology, significantly more male interns (n = 24/67, 35.8%) are considering radiology compared with females (n = 26/139, 18.71%), (p < 0.009). Significantly more females were deterred by the perception of radiology as a male-based speciality (p < 0.004). Significantly fewer females are considering radiology, deterred by physics knowledge, use of technology, and, significantly, by the perception of radiology as a male-dominated speciality. This survey highlights important reasons that female interns are deterred from radiology. It will help direct future medical training and doctor recruitment policies, with a view to addressing the ongoing gender disparity in the Irish radiology workforce. Women are under-represented in the Irish and global Radiology workforce. Female interns are dissuaded from Radiology as a career by their perception of Radiology as male-dominated. This survey will shape medical training and doctor recruitment policies to improve gender diversity in radiology.

The impact of the radiology career on family planning: A survey of practicing radiologists and trainees

PurposeAs the field of medicine witnesses evolving attitudes towards work-life balance, barriers to family planning emerge as an important theme. Though these challenges have been investigated in many fields, there has been little work done on this subject within radiology. Here we present the first formal survey of radiologists on topics related to family planning. Materials and methodsIn this single-institution prospective study, a 40-question comprehensive survey was developed and distributed via email. Responses from 76 participants were analyzed. ResultsOf the 76 respondents, a diverse number of ages, points in the career path, and practice settings were represented. A majority of respondents were male (52/76; 68 %) and married (56/75; 73.7 %). Respondents reported a miscarriage rate of 25 %, which is slightly higher than the reported rate for the general population of 20 %. Significantly more female respondents reported a negative stigma associated with being pregnant as a radiologist as compared to their male colleagues (60.9 % vs. 15.4 %; p < 0.001)). Male respondents reported significantly less parental leave than their female colleagues, most commonly reporting zero weeks of leave as compared to 10 weeks for female respondents (p < 0.001). Numerous respondents cited lack of childcare support as a major issue. ConclusionWe have identified several key areas of concern, including a need for improving parental leave policies, addressing pregnancy stigma, and increasing access to childcare support. Overall, our study lays the groundwork for discussions and policy changes within radiology at both the institutional and national level to ensure the continued interest of trainees and satisfaction of radiologists.

Radiology as a career among medical students of Pakistan: A cross-sectional study.

Radiology has become a fundamental constituent of the modern medicine. However, it has been observed that medical students in Pakistan often lack sufficient guidance and education in this field. This study aims to establish whether Pakistani medical students possess the requisite basic knowledge required in radiology and their attitude and perception toward radiology as a potential career path. This cross-sectional study conducted a survey among 530 medical students of Pakistan via a self-reported online questionnaire from August 01, 2021 to September 01, 2021. The data collected were analyzed using the SPSS software, along with logistic regression analyses to identify factors associated with interest in pursuing radiology as a career and possessing a comprehensive understanding of radiology among medical students. Of the 530 participants, 44.2% rated their understanding of radiology as "poor" with only 17% indicating interest to pursue a career in radiology. Logistic regression model showed significantly higher odds of radiology as a career among males (Crude odds ratio [COR] = 1.78, 95% confidence interval [CI] = 1.17-2.72, P = .007), medical students of Punjab (COR = 1.55, 95% CI = 1.01-2.40, P = .048), and those, who self-reported their knowledge of radiology as excellent (COR = 14.35, 95% CI = 5.13-40.12, P < .001). In contrast, medical students from Punjab (COR = 0.504, 95% CI = 0.344-0.737, P < .001) and second-year medical students (COR = 0.046, 95% CI = 0.019-0.107, P < .001) had lower odds of good knowledge. Our study suggests that the medical student's knowledge of radiology is deficient. Thus, it is advised that radiological societies work with medical school boards to integrate thorough and early radiology exposure into the undergraduate curriculum.

One-week radiology boot camp for pre-clerkship medical students: A novel format improving image interpretation and confidence

Rationale and objectivesTo measure change in radiology knowledge, confidence in radiology skills, and perceptions pertaining to radiology following a one-week boot camp elective for undergraduate medical students. Materials and methodsA five-day comprehensive radiology boot camp was developed including sessions on image interpretation, procedural skills, and appropriate image ordering. A multiple-choice quiz was administered before and after the elective, utilizing radiology questions from the validated AMSER STARS database. Additionally, a pre- and post-elective survey was administered assessing radiology career interest, confidence in radiology-based skills, and the potential ability of radiology-based skills to increase confidence in specialties other than radiology. Responses from the assessments were analysed using paired t-tests. Results15 students enrolled in the course and 14 completed all assessments. The average score on the quiz increased from 50.1% to 66.0% (p<0.001). On the post-elective survey, the average student confidence score increased by more than one point on a six-point Likert scale in each of radiographic interpretation (p=0.004), ultrasound interpretation (p=0.0002), CT/MRI interpretation (p=0.02), general radiology knowledge including procedural skills (p=0.0001), and appropriate image ordering (p=0.004). Average student satisfaction with the elective was 8.1 out of 10. ConclusionA one-week radiology boot camp for pre-clerkship medical students improved radiology knowledge and confidence in radiology skills, showing potential for this format to meet the demand for increased radiology content in undergraduate training. Students indicated that confidence in radiology knowledge would increase confidence on non-radiology clerkship rotations, highlighting the importance of how a one-week radiology bootcamp can impact both future radiology and non-radiology clerkship experiences.

Impact of Artificial Intelligence on Medical Students&amp;apos; Radiology Career Choices: A Cross-Sectional Study at King Faisal University, Saudi Arabia

Impact of Artificial Intelligence on Medical Students&amp;apos; Radiology Career Choices: A Cross-Sectional Study at King Faisal University, Saudi Arabia

Knowledge, attitude, and perception of Arabmedical students towards artificial intelligence in medicine and radiology: Amulti-national cross-sectional study

ObjectivesWe aimed to assess undergraduate medical students’ knowledge,attitude, and perception regarding artificial intelligence (AI) inmedicine.MethodsA multi-national, multi-center cross-sectional study was conductedfrom March to April 2022, targeting undergraduate medical students in nine Arabcountries. The study utilized a web-based questionnaire, with data collectioncarried out with the help of national leaders and local collaborators. Logisticregression analysis was performed to identify predictors of knowledge, attitude,and perception among the participants. Additionally, cluster analysis wasemployed to identify shared patterns within their responses.ResultsOf the 4492 students surveyed, 92.4% had not received formal AItraining. Regarding AI and deep learning (DL), 87.1% exhibited a low level ofknowledge. Most students (84.9%) believed AI would revolutionize medicine andradiology, with 48.9% agreeing that it could reduce the need for radiologists.Students with high/moderate AI knowledge and training had higher odds ofagreeing to endorse AI replacing radiologists, reducing their numbers, and beingless likely to consider radiology as a career compared to those with lowknowledge/no AI training. Additionally, the majority agreed that AI would aid inthe automated detection and diagnosis of pathologies.ConclusionsArab medical students exhibit a notable deficit in their knowledgeand training pertaining to AI. Despite this, they hold a positive perception ofAI implementation in medicine and radiology, demonstrating a clear understandingof its significance for the healthcare system and medical curriculum.Clinical relevance statementThis study highlights the need for widespread education and trainingin artificial intelligence for Arab medical students, indicating itssignificance for healthcare systems and medical curricula.Key Points• Arab medical students demonstrate asignificant knowledge and training gap when it comes to using AI in thefields of medicine and radiology.• Arab medical students recognize theimportance of integrating AI into the medical curriculum. Students with adeeper understanding of AI were more likely to agree that all medicalstudents should receive AI education. However, those with previous AItraining were less supportive of this idea.• Students with moderate/high AI knowledgeand training displayed increased odds of agreeing that AI has the potentialto replace radiologists, reduce the demand for their services, and were lessinclined to pursue a career in radiology, when compared to students with lowknowledge/no AI training.

Why Medical Students Pursue Radiology: A Current Longitudinal Survey on Motivations and Controversial Issues in Radiology

Radiology is an increasingly competitive specialty. Various current factors influence medical students' decision to pursue a radiology career, including artificial intelligence (AI), remote reading, and COVID-19. This study seeks to determine the decision-making factors of all alumni from our medical school who matched into a radiology residency, and to gather opinions on emerging radiology topics. A survey querying decision-making factors and opinions on current radiology topics was distributed to all alumni from our medical school (first graduating class in 2011) who previously matched into a diagnostic or interventional radiology residency program (n=57). Wilcoxon Rank-Sum and Fisher's Exact tests were used to determine statistical significance. Forty-three of fifty-seven responses were received (75% response rate). The most influential factor that sparked respondents' interest in radiology was a radiology elective (25/43, 58%). Students who will finish radiology training in 2023 or later were more likely to be influenced by a mentor (15/23, 65%) than those who finished radiology training before 2023 (5/20, 25%) (p=0.04). Respondents reported a 1.6/5 concern about AI negatively impacting their future career in radiology. There was 1.7/5 concern about performing radiology procedures on patients during the COVID-19 pandemic. Respondents predicted that remote reading would have a 3.2/5 positive impact on helping them achieve their preferred lifestyle. Job satisfaction among attending radiologists is rated at 4.3/5. Radiology electives had the greatest influence in piquing students' interest in radiology, while mentorship is assuming increasing influence. AI is perceived as a relatively minimal threat to negatively impact radiologists' jobs. Respondents had little concern about performing radiology procedures during the COVID-19 pandemic. Remote reading is viewed as having a moderately positive impact on lifestyle. Responding radiologists enjoy notably high job satisfaction.

Study Smarter: Applying the Science of Learning to Radiology

Lifelong learning is critical to a successful career in radiology, but many learners use inefficient or ineffective studying strategies developed from personal experience. Decades of cognitive psychology research have identified several techniques that consistently improve knowledge consolidation and retrieval. To improve their knowledge and ultimately patient care, radiologists should strive to understand and adopt these learning techniques. The first part of this article reviews several evidence-based learning principles, including active retrieval and the testing effect, spaced repetition, interleaving, deliberate practice, and growth mind-set. The second part provides practical suggestions on how to incorporate these principles into radiology learning, both during training and beyond.

Medical Students' Perspectives on Artificial Intelligence in Radiology: The Current Understanding and Impact on Radiology as a Future Specialty Choice.

Medical students' career choices and motivations might be significantly impacted by the rapid advances in artificial intelligence (AI) and the recent hype around it. This study aimed to assess the impact of AI on medical students' preferences for radiology as a future specialty choice. A cross-sectional study was conducted between October and December 2021 among all medical students in the three regional medical colleges in Al-Qassim Province, Saudi Arabia. The survey resulted in 319 complete responses. Among the respondents, 26.96% considered radiology to be one of their top three future specialty choices. Only a minority of the respondents (23.2%) believed that radiologists would be replaced by AI during their lifetime. The misperceptions of the potential impact of AI led 22.26% of the students to be less likely to consider a career in radiology. Students with an interest in radiology were less influenced by such misperceptions (p=.01). Based on self-reported confidence measures, the basic understanding of AI was higher among students with an interest in radiology and students with prior exposure to AI (p<.05). The students' preferences for radiology as a future specialty choice were influenced by their misperceptions of the potential impact of AI on the discipline. Students' interest in radiology and prior exposure to AI helped them grasp AI and eliminate the hype around it.

An Upstream Reparative Justice Framework for Improving Diversity in Radiology

Health care workforce diversity is vital in combating health disparities. Despite much recent attention to downstream strategies to improve diversity in radiology, such as increased recruitment efforts and holistic application review, workforce diversity has not tangibly improved in recent decades. Yet, little discussion has been devoted to defining the obstacles that might delay, complicate, or altogether prevent persons from groups that have been traditionally marginalized and minoritized from a career in radiology. Refocusing attention to upstream barriers to medical education is vital to develop sustainable workforce diversity efforts in radiology. The purpose of this article is to highlight the varied obstacles students and trainees from historically underrepresented communities may face along the radiology career pathway and to provide concrete corollary programmatic solutions. Using a reparative justice framework, which encourages race- and gender-conscious repair of historical injustices, and the socioecological model, which recognizes an individual’s choices are informed by historical and ongoing systems of power, this article advocates for tailored programs to improve justice, equity, diversity, and inclusion in radiology.

Hidden Curriculum and the Demographic Stoicism That Keeps Women and Minorities Away From Radiology: A Mixed-Methods Study ofMedical Students.

To understand how women and historically underrepresented minority medical students perceive radiology as a potential career choice. Medical students representing a broad spectrum of radiology exposure from a single institution were invited to participate in a mixed-methods study. Participants completed a 16-item survey about demographics and perceptions of radiology. Ten focus groups were administered to probe decision making regarding career selection. The themes influencing women and historically underrepresented minority students are presented. Forty-nine medical students, including 29 (59%) women and 17 (35%) underrepresented minorities, participated. Most participants (28 of 48, 58%) reported men outnumbered women in radiology. Female participants reported a lack of mentorship and role models as major concerns. Outreach efforts focused on the family-friendly nature of radiology were viewed as patronizing. Demographic improvements in the field were viewed as very slow. Forty-six percent (22 of 48) of participants indicated that radiology had a less underrepresented racial or ethnic workforce than other medical specialties. Minority participants especially noted a lack of radiology presence in mainstream media, so students have few preconceived biases. A failure to organically connect with the mostly White male radiologists because of a lack of shared background was a major barrier. Finally, participants described a hidden curriculum that pushes minority medical students away from specialty fields like radiology and toward primary care fields to address underserved communities and health care disparities. Women and historically underrepresented minority medical students perceive major barriers to choosing a career in radiology. Radiology departments must develop sophisticated multilevel approaches to improve diversity.

Malaysian Medical Students' Attitudes and Readiness Toward AI (Artificial Intelligence): A Cross-Sectional Study.

The Malaysian health ministry has started introducing artificial intelligence (AI) technology to aid local healthcare delivery. This study aims to survey Malaysian medical students' attitudes toward AI and evaluate their readiness to work with medical AI technology. An online questionnaire on Google Forms was distributed to all 31 medical schools in Malaysia. The questionnaire consists of 3 sections: the first part surveyed the participants' demographics, the second assessed the participants' attitudes toward AI, and the final part utilizes the Medical Artificial Intelligence Readiness Scale for Medical Students (MAIRS-MS) scale to evaluate their AI readiness. Three hundred and one students from 17 universities in Malaysia responded to the questionnaire. 87.36% of students agreed that AI will play an essential role in healthcare; 32.55% of students were less likely to consider a career in radiology due to the advancement of AI. The majority of students (71%) felt that teaching in AI will benefit their careers, while 69.44% agreed that all students should receive teaching in AI. Around 44.5% of students felt that they will possess the knowledge required to work with AI upon graduation. On the MAIRS-MS scale, students had a mean score of 21 of 40 for the cognitive factor, 25 of 40 for the ability factor, 10 of 15 for the vision factor, and 11 of 15 for the ethics factor. Overall, Malaysian students had a mean total score of 67±14.8out of 110. Malaysian medical students have demonstrated awareness of AI and a willingness to learn more about it. More work needs to be done to improve students' AI readiness, particularly their knowledge and application of AI technology. Malaysian universities should start to work on incorporating AI teaching into their curricula.

Career in radiology; the ghanaian clinical medical Student's perception

BackgroundThe importance of radiology in this era of evidence-based medicine cannot be disputed. This has resulted in the increase in demand for radiologists. Thus, the issue of whether there would be sufficient numbers of medical students to meet this growing demand needs further probing. PurposeTo assess Ghanaian clinical medical students’ perceptions about a career in radiology. Materials and methodsThis was an online questionnaire-based survey of 575 clinical medical students in five public medical schools in Ghana from September 2020 to February 2021. Student's t-test and one way analysis of variance was used to compare means. For the Likert scale questions, differences in the mean Likert scale responses were assessed among various clinical year groups and across gender using Kruskal-Wallis test and Mann–Whitney U tests. A logistic regression was used to determine the significant predictors of the choice of radiology as a career. ResultsMost 340 (59.1%) of the participants were males. The average age of participants was 24.64 ± 3.084 years. Students agreed that, radiology is relevant in this era of evidence-based medicine (mean Likert score = 4.62, SD = 0.819), which yielded significant responses in the third clinical year (p = 0.004). Nearly 30% of respondents stated they did not receive enough didactic lectures or tutorials in radiology, citing insufficient lectures (89.9%), a lack of lecturers (9.5%), and trouble grasping ideas (0.7%) as their main concerns. 133 (23.1%) stated they would choose radiology as a specialty, with flexible working schedule (61.9%) and high income (68.3%) as their topmost reasons. Less patient contact (8.0%) was the least observed reason. A flexible working schedule increased the choice of radiology as a specialty by 2.319 folds (95% CI: 1.413–3.805, P = 0.001). Teleradiology significantly contributed to the choice of radiology as a career (p = 0.001). ConclusionGenerally, the clinical students had varied but positive perceptions on radiology as a specialty.

Is There Gender Bias in Radiology Job Postings?

BackgroundWords can convey subtle cultural stereotypes and perpetuate subconscious gender biases. Wording in job advertisements that appeals to 1 gender and deters others may unintentionally skew the applicant pool and affect the early phase of the recruitment process. “Masculine” tone can lead to decreased interest among women applicants while ‘feminine’ wording may not affect a man's decision to apply for the job. In this study, we evaluated the presence and extent of subtle gender bias in job advertisements for radiology faculty positions. MethodsAll job postings for faculty radiologists were retrieved from the American College of Radiology Career Center website in July 2020. The complete job advertisement was analyzed using Gender Decoder, a publicly available web-based application, to determine number and percentage of female or male coded words and the overall tone of the ad. The job posts were also stratified by subspecialty, leadership positions and academic versus private practice environments. ResultsOf the 623 job postings reviewed, a little over half (52.0%) of job postings were feminine coded, 26.6% had a masculine tone and 21.3% had a neutral tone. Of the leadership (division director) positions, 50.0% (4/8) had a masculine tone, 37.5% had a feminine tone, and 12.5% had a neutral tone. Among various specialties, pediatric radiology had the lowest percentage of job posts with a masculine tone (10.5%) while nuclear medicine had the highest percentage (41.7%). The most commonly used feminine words were: “support,” “responsible,” “commitment” and the most common masculine words were: “competitive,” “leader,” “active.” ConclusionsMost of the imaging job advertisements were feminine coded, with masculine tone in overall 26.6% posts and neutral tone in about a fifth. Leadership posts had a higher percentage of masculine tone. Awareness of these biases is important to enable diversity in recruitment and to ensure a diverse applicant pool.

A practical guide to undergraduate radiology education

The new Royal College of Radiologists (RCR) undergraduate curriculum and the impending introduction of a universal General Medical Council (GMC) medical licensing assessment (MLA) for all undergraduates in the UK heralds a new era of undergraduate radiology education. This is a practical guide to both implementing and delivering undergraduate radiology education using our experience and the available literature. It aims to provide ideas so that more universities and radiologists can integrate radiology into everyday learning and are ready to embrace the new RCR curriculum and GMC MLA. Allied to this, strategies are provided to show how to encourage early undergraduate interest in a career in radiology.

Using a Nationwide Virtual Radiology Student Interest Group to Expand Medical Students’ General Awareness, Drive Greater Interest, and Achieve Uniform National Messaging in the Field of Radiology

Many medical schools offer minimal exposure to radiology, leading to a decreased understanding of the field and negative perceptions among medical students. The purpose of this study was to examine the effects of a radiology intensive series piloted by a novel virtual radiology interest group. Specifically, we were interested in how radiologists and medical educators can expand students' general awareness, drive greater interest in the field, and achieve more uniform national messaging across all trainees. We launched a national/international interest group called Radiology Student Interest Group (RadSIG) and piloted the RadSIG Intensive, a series of five events aimed at increasing awareness and dispelling misconceptions among preclinical medical students. Validated pre-intensive and post-intensive surveys were used to ascertain the students' baseline and changed perspectives, respectively. A separate faculty survey was also distributed to understand how they perceived our events. Statistical analysis was carried out on the collected data to identify trends and assess the utility of our programming. 205 students completed the pre-intensive survey, and 61 students completed the post-intensive survey. Of the pre-intensive survey respondents, 51.7% (106/205) indicated that they had a limited understanding of what a career in radiology entails. Of those who completed the entire RadSIG Intensive, average 5-point Likert scale scores for understanding of a radiology career rose from 3.30 to 4.38 respectively pre- to post-completion. A Wilcoxon signed-rank test revealed that this difference was statistically significant (Z=-5.95, p<0.001), and that the RadSIG Intensive significantly improved perceptions of radiologists across every single question measured, except for perception of long hours worked (Z=-0.20, p=0.841). The results also showed increased student comfort in reaching out to radiology attendings (Z=-4.30, p<0.001) and residents (Z=-5.12, p<0.001). Faculty survey results indicated positive perceptions of the series. Our results show that the RadSIG Intensive was effective in increasing students' understanding of radiology as a field and a potential career. Online outreach can also lower the resistance and improve student comfort in reaching out for mentorship, which may provide a new pathway to reach underserved students with a unifying message. By furthering a platform based on voluntary and supplemental resources, we see a far greater potential of impacting the perception and known role of the imager in patient care among our next generation of physicians.

Factors influencing the choice of radiology as a medical specialty in Ireland

PurposeTo gain further insight into Irish medical students’ and interns’ specialty preferences and explore the various factors that influence choice of specialty with a focus on radiology. MethodsAn online cross-sectional survey was conducted of medical students and interns enrolled at a single Irish institution. Survey topics included specialty preferences, associated influential factors, exposure to radiology to date, and respondents’ interest in and understanding of radiology. ResultsCardiology, emergency medicine, and paediatrics had the highest overall interest levels, with 27.0% (n = 133/492) of all participants declaring an interest in radiology. The most frequently selected reason for considering radiology as a specialty was the varied nature of the field. Men reported considering a career in radiology more often than women (x2 (1, n = 433) = 9.464, p = 0.002) and non-European respondents considered radiology less often than their Irish and European peers (x2 (1, n = 436) = 7.510, p = 0.006). While there was no significant association between exposure to radiology and interest in the specialty, participants with previous exposure to radiology were found to be more knowledgeable about the roles and responsibilities of a radiologist. ConclusionThe outcomes of this study support previous research which concludes that medical students’ choice of specialty is multifactorial. A strategic approach needs to be taken towards undergraduate radiology education which accounts for class composition, emphasises the diversity and impact of the field, and provides clinical exposure to the subject matter, as a tailored means of steering more students and interns towards the underserved discipline.

Student Perspective of Pipeline Programs, an Essential Tool in Diversifying Radiology.

Radiology is in need of physicians who are demographically diverse to holistically treat the needs of an increasingly diverse US population. An important tool in increasing diversity is the pipeline programs that support medical students pursuing a career in radiology. A lack of diversity is seen in all radiologic specialties including diagnostic radiology, interventional radiology, radiation oncology, and radiation physics. According to the 2010 US census, Black and Hispanic Americans comprise 12.6% and 16.3% of the population, respectively.

A Basic Primer of Artificial Intelligence for Radiologists

Artificial intelligence (AI) comprises computer systems that behave in ways previously thought to require human intelligence.1 AI and related technologies are increasingly prevalent in business and society and are beginning to be applied to health care.2 Within health care, AI has increasingly influenced the field of radiology, and its role is likely only to grow in the future. Within radiology, AI has demonstrated benefits in the areas of image analysis and interpretation, various noninterpretive domains, and resident training. And yet, AI remains vaguely and incompletely understood by a great many practicing radiologists, radiology residents, and students considering a career in radiology. The purpose of this article is to describe the primary current and potential future applications of AI to the field of radiology and to define some of the key terms used in discussions of AI. This article is meant to provide readers with a clear, foundational understanding of AI in radiology and to equip radiologists with literacy and fluency in the AI lexicon.