Doctoral Training Research Articles

A scoping review of mental health status in Australian medical students and doctors-in-training (DiT).

The study and practice of medicine are known to contribute to burnout in medical students and junior doctors. There is limited data on the degree of mental health burden for Australian medical students and doctors-in-training (DiT). This scoping review aims to explore the impact of medical training on the mental health of Australian medical students and DiT. Exploring the mental health landscape across different stages of training will help to establish putative factors underlying psychiatric comorbidities in this demographic. The Joanna Brigs Institute (JBI) framework for scoping review was utilized, involving the Population/Concept/Context (PCC) criteria to identify the target population and develop the search strategy. Peer-reviewed articles, published in English from 2012 to 2022 focusing on Australian medical students' and doctors-in-training mental health were considered. Of the 177 articles identified, 24 studies were included in the review. The majority of the studies focused on DiT (n = 19) of which interns and residents were most well represented (n = 12) followed by surgical training (n = 5), with general practice (GP) (n = 2) and physician specialties (nil) being poorly represented. Most studies were quantitative (n = 18), with qualitative studies(n = 6) under represented. Common mental health themes identified were overall psychological distress, burnout, and depression/suicidal ideation with workplace harassment and discrimination being less well represented. Australian DiT are not equally represented in the literature with how different specialty training pathways impact their mental health. Most studies were cross-sectional, preventing a detailed longitudinal assessment of burnout and work-associated psychological distress.

A study on awareness and perception about perinatal death auditing among health care workers in two districts of Karnataka State, India

ABSTRACT Background: To start perinatal death auditing, doctors should have good knowledge about it. Objectives: To know the awareness and perceptions of doctors about different aspects of perinatal death auditing like 1) different types of contributors; 2) high-risk approach; 3) consequences; 4) documentary requirements; and 5) existing system of mortality meeting/child death reviews. Methodology: The perinatal death auditing project was implemented in two districts of Karnataka state. As a part of the pre-intervention survey, awareness and perceptions of doctors and a few health care administrators were explored. They were requested to participate in the study. Those who consented were approached in their hospitals and interviewed. Trained medical social workers conducted the interviews. Awareness was scored from 0 to 3 with 0 being no knowledge and 3 being good knowledge. Perceptions were scored from 0 to 3 with 0 being no negative perceptions and 3 being fear of legal consequences. The responses were documented, scored, and described. Results: Though 22 doctors were eligible, only 16 consented to participate in the study. Knowledge of doctors about different contributors was inadequate. They were apprehensive about legal consequences. They knew that documentation could protect them and be useful in a court of law. They were not clear about the conduct of mortality meeting/existing system of child death reviews. Conclusion: Knowledge was inadequate. They were apprehensive about legal consequences. Training of doctors and allaying apprehensions are required for starting perinatal death auditing.

Improving Trainee Experience of Raising Concerns: Redefining a Representative Structure for Post-Graduate Doctors in Training

Improving Trainee Experience of Raising Concerns: Redefining a Representative Structure for Post-Graduate Doctors in Training

A study on the Application of PDCA Cycle Combined with PBL Teaching Method in Teaching Cardiovascular Medicine Interns

To study the application effect of PDCA cycle combined with PBL teaching method in the teaching of cardiovascular internal medicine trainees. Sixty intern trainee doctors were selected as the research subjects, and were divided into the observation group and the control group using the random number table method, with 30 in each group. The observation group implemented the PDCA cycle combined with the PBL method of teaching, and the control group implemented the traditional method of teaching, observing and comparing the teaching effect of the two groups of doctors. The observation group was better than the control group in all assessment scores, teaching satisfaction and teaching effect indicators after teaching (P<0.05). Therefore, the PDCA cycle combined with the PBL teaching mode is conducive to improving the trainee doctors' learning initiative, cultivating clinical thinking ability, and improving the quality of teaching.

ПРОИЗВОДСТВЕННАЯ ПРАКТИКА СТУДЕНТОВ МЕДИЦИНСКИХ ВУЗОВ КАК ЭТАП ПРОФЕССИОНАЛИЗАЦИИ

The article analyzes the obstacles faced by students of a medical university during their internship. The importance of practical training of future doctors is due not only to the need to improve technical and manual skills, but also to the development of communication competence. In addition, clinical practice allows future doctors to gain an understanding of the mechanism of bioethical and deontological principles underlying the interaction between a doctor and a patient. In order to clarify the difficulties and prospects of the practical stage of training students of the medical university, we conducted a survey, which was attended by 200 students of the Altai State Medical University. As the results of the study showed, most students are interested in internships in medical institutions, and they readily perform their duties. However, a significant part of the respondents are not ready to interact with patients, there is a devaluation of empathy as a means to establish trusting relationships with the patient, and as a result, resort to the practice of paternalism in relationships with patients. The authors note the importance of the institute of mentoring at all stages of training at the higher medical school to overcome the identified imperfections.

Finding the place for nutrition in healthcare education and practice

BackgroundMalnutrition continues to impact healthcare outcomes, quality of life and costs to healthcare systems. The implementation of nutrition care in healthcare practice may improve health outcomes for patients and the...

Improving Trainee Doctors' Awareness on How to Refer for Routine Radiological and Cardiac Investigations at a Psychiatric Hospital in South London

Improving Trainee Doctors' Awareness on How to Refer for Routine Radiological and Cardiac Investigations at a Psychiatric Hospital in South London

Let's get real: Identity concealment, burnout, and therapeutic relationship quality among psychology trainees with concealable stigmatized identities.

Identity concealment thwarts psychological needs of authenticity and belonging, both of which are important for mental health and relationship building. Through the lens of minority stress theory and relational-cultural theory, the present study examined whether identity concealment in the workplace by psychology trainees is indirectly associated with greater burnout and poorer therapeutic relationship quality. To test this hypothesis, a parallel mediation analysis was conducted on data from 335 clinical and counseling psychology doctoral trainees with concealable stigmatized identities using Hayes's (2018) PROCESS macro. As expected, identity concealment at a practicum or internship site was negatively associated with authenticity and belonging, both of which were negatively associated with burnout and positively associated with therapeutic relationship quality. Furthermore, identity concealment was associated with lower therapeutic relationship quality and greater burnout indirectly through lower authenticity and lower belonging. Findings suggest trainees who engage in more identity concealment at their clinical training sites may be at increased risk for burnout and poorer relationships with clients due to limited opportunities for authenticity and belonging. Future research is encouraged to longitudinally examine the impact of identity concealment on professional burnout and relationships, as well as potential protective factors. Such knowledge can support the development of interventions and policies that foster safer, more welcoming work environments for trainees with concealable stigmatized identities. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Deep learning-based anatomical position recognition for gastroscopic examination.

The gastroscopic examination is a preferred method for the detection of upper gastrointestinal lesions. However, gastroscopic examination has high requirements for doctors, especially for the strict position and quantity of the archived images. These requirements are challenging for the education and training of junior doctors. The purpose of this study is to use deep learning to develop automatic position recognition technology for gastroscopic examination. A total of 17182 gastroscopic images in eight anatomical position categories are collected. Convolutional neural network model MogaNet is used to identify all the anatomical positions of the stomach for gastroscopic examination The performance of four models is evaluated by sensitivity, precision, and F1 score. The average sensitivity of the method proposed is 0.963, which is 0.074, 0.066 and 0.065 higher than ResNet, GoogleNet and SqueezeNet, respectively. The average precision of the method proposed is 0.964, which is 0.072, 0.067 and 0.068 higher than ResNet, GoogleNet, and SqueezeNet, respectively. And the average F1-Score of the method proposed is 0.964, which is 0.074, 0.067 and 0.067 higher than ResNet, GoogleNet, and SqueezeNet, respectively. The results of the t-test show that the method proposed is significantly different from other methods (p< 0.05). The method proposed exhibits the best performance for anatomical positions recognition. And the method proposed can help junior doctors meet the requirements of completeness of gastroscopic examination and the number and position of archived images quickly.

Evaluation de l’enseignement par les étudiants : exemple d’un atelier de simulation sur l’ECG

The electrocardiogram (ECG) is a fundamental tool in medical practice. At the Faculty of Medicine of Tunis (FMT), it is usually taught during a lecture. FMT's Physiology Department has innovated its teaching by introducing simulation workshops. This study aimed to assess the students' satisfaction with teaching ECG by simulation. This was a cross-sectional descriptive study, carried out in April 2018, including 160 students in the first year of the first cycle of medical studies, divided into 10 groups. The students attended an ECG simulation workshop at the FMT media library and then answered a satisfaction form and a self-assessment questionnaire for the workshop. More than 50% of the students answered either satisfied or very satisfied with the duration of the course, the room, the method of the teacher, and their participation in the course of the session. Regarding teaching support, 19.3% of the students were very satisfied with the practice of the ECG on a mannequin versus 25% for the practice on a voluntary student. For the number of students per group, 42.1% of students were dissatisfied. This study highlights the weak points of this simulation workshop in order to improve it. Then, it helps to build students' confidence and encourage their adherence to the feedback process. Finally, it shows students' enthusiasm for new teaching methods such as simulation. It would be interesting to generalize this evaluation process for the improvement of medical education and the training of future doctors.

Towards a machine-learning assisted non-invasive classification of dengue severity using wearable PPG data: a prospective clinical study

Dengue epidemics impose considerable strain on healthcare resources. Real-time continuous and non-invasive monitoring of patients admitted to the hospital could lead to improved care and outcomes. We evaluated the performance of a commercially available wearable (SmartCare) utilising photoplethysmography (PPG) to stratify clinical risk for a cohort of hospitalised patients with dengue in Vietnam. We performed a prospective observational study for adult and paediatric patients with a clinical diagnosis of dengue at the Hospital for Tropical Disease, Ho Chi Minh City, Vietnam. Patients underwent PPG monitoring early during admission alongside standard clinical care. PPG waveforms were analysed using machine learning models. Adult patients were classified between 3 severity classes: i) uncomplicated (ward-based), ii) moderate-severe (emergency department-based), and iii) severe (ICU-based). Data from paediatric patients were split into 2 classes: i) severe (during ICU stay) and ii) follow-up (14-21 days after the illness onset). Model performances were evaluated using standard classification metrics and 5-fold stratified cross-validation. We included PPG and clinical data from 132 adults and 15 paediatric patients with a median age of 28 (IQR, 21-35) and 12 (IQR, 9-13) years respectively. 1781h of PPG data were available for analysis. The best performing convolutional neural network models (CNN) achieved a precision of 0.785 and recall of 0.771 in classifying adult patients according to severity class and a precision of 0.891 and recall of 0.891 in classifying between disease and post-disease state in paediatric patients. We demonstrate that the use of a low-cost wearable provided clinically actionable data to differentiate between patients with dengue of varying severity. Continuous monitoring and connectivity to early warning systems could significantly benefit clinical care in dengue, particularly within an endemic setting. Work is currently underway to implement these models for dynamic risk predictions and assist in individualised patient care. EPSRC Centre for Doctoral Training in High-Performance Embedded and Distributed Systems (HiPEDS) (Grant: EP/L016796/1) and the Wellcome Trust (Grants: 215010/Z/18/Z and 215688/Z/19/Z).

Identifying potential drug targets for non-alcoholic fatty liver disease: a drug target Mendelian randomization study

Abstract Funding Acknowledgements Type of funding sources: Public grant(s) – National budget only. Main funding source(s): UK Research and Innovation Training Grant: Centre for Doctoral Training in AI-enabled Healthcare Systems Background Non-alcoholic fatty liver disease (NAFLD), a range of conditions caused by the build-up of fat in the liver, is the most common form of chronic liver disease, with an estimated prevalence of ~25% globally. NAFLD is associated with increased risk of all-cause mortality, with CVD emerging as the primary cause of death amongst affected individuals. The aetiology of NAFLD is not yet clearly understood, and currently no drugs exist for its treatment, with therapeutics aimed at symptom management instead. Purpose To identify and prioritise candidate protein drug targets and pathways relevant for therapeutic intervention in NAFLD. Methods To identify plasma proteins causally associated with NAFLD, we analysed genetic associations on 1,561 proteins from 35,559 participants in the deCODE study, and compared these to associations from a GWAS of biopsy confirmed NAFLD cases (1,483 cases, 17,781 controls). We sourced genetic variants from a 400kbp region around each protein-coding gene, pruning variants on an F-statistic of 15, minor allele frequency threshold of 1% and linkage disequilibrium r-squared of 0.4. cis-Mendelian randomization (MR) was used to identify proteins associated with NAFLD. Bias due to pleiotropy was limited by excluding variants with leverage statistic more than 3 times the mean, or outlier statistic larger than 10.83. We used colocalization analysis to identify proteins with a posterior probability of at least 0.8, indicating the presence of common causal variants. We further prioritised proteins by annotating them with information on druggability (i.e. whether a protein is a target for a known drug, or predicted to be a target for a drug), mRNA expression in pathology-relevant tissues, and involvement in known biological pathways. Results We identified 5 proteins with a multiplicity-corrected (p&amp;lt;3.2×10-5) association with NAFLD, and strong evidence of genetic colocalization: CYB5A, NT5C, NCAN, TGFBI, DAPK2. TGFBI and DAPK2 are potentially druggable, with all five found to be expressed in both liver and adipose tissues. Pathway analysis indicated the involvement of NT5C, CYB5A, NCAN in Reactome pathway R-HSA-1430728 reflecting cellular energy metabolism, including mitochondrial lipid metabolism, which is strongly implicated with NAFLD. Conclusion We identified a prioritised set of five plasma proteins influencing NAFLD, including druggable proteins informing de novo and ongoing drug development programs. Figure: MR effect estimates of proteins on NAFLD A: Effect of each protein on NAFLD. Each point represents a protein, effect estimates are reported in log(odds ratio) and statistical significance in -log(p-value). Coloured points represent proteins passing the multiplicity-corrected p-value threshold B: MR effect estimates of prioritised proteins. Estimates are reported in log(odds ratio). Proteins are annotated according to their druggability based on the British National Formulary and ChEMBL

The Impact of Large Language Models on Medical Education: Preparing for a Revolutionary Shift in Doctor Training

This article presents insights gained from utilizing Collaborative Autoethnography (CA), a qualitative research method, by two international faculty members who documented their experiences from a year-long participation in a Faculty Learning Community (FLC) at a midwestern university in the US. The FLC aimed to create a supportive environment where international faculty and graduate students could discuss their challenges, struggles, and joys related to their 'international-ness'. Through autoethnographic reflection, the study highlights how FLC participation helped mediate initial anxieties and dilemmas for one faculty member (Galina) and facilitated a productive reconceptualization of teaching for the other (Henny). The findings demonstrate the value of reflecting on personal experiences through autoethnography, allowing the participants to draw practical lessons that connect their FLC involvement to their individual teaching contexts and personal struggles in establishing a viable teacher identity. The article concludes with pedagogical recommendations on structuring future FLCs to better address the needs of international faculty.

The impact of COVID-19 on medical education and training.

The COVID-19 pandemic social isolation policies have accelerated the shift to online teaching for medical students and doctors in training worldwide. Online learning is cost-effective, available, and flexible. However, it can be challenging due to the technical system errors, which results in the disruption of the learning process and social isolation yielding to less satisfaction among students and teachers. The above can have negative consequences on the mental health of medical students and trainees, which is an under-researched area. United Kingdom based medical students and doctors in speciality training encountered disruptions to medical education and training due to the pandemic. Medical school and deaneries had to endorse adjustments to teaching and training delivery methods, examination, and assessments to ensure the continued progression of learning and training. A successful e-learning model depends on motivated and well-prepared medical students and teachers and structured educational materials in supported learning environment and institutions. A blended model is likely to be utilised by medical institutions for medical training in the future, which will need to be researched.

Bridging the gap in precision medicine: TranSYS training programme for next-generation scientists

IntroductionIn the evolving healthcare landscape, precision medicine's rise necessitates adaptable doctoral training. The European Union has recognized this and promotes the development of international, training-focused programmes called Innovative Training Networks (ITNs). In this article, we introduce TranSYS, an ITN focused on educating the next generation of precision medicine researchers. In an ambition to go beyond describing the consortium goals, our article explores two key aspects of ITNs: the training and collaboration.MethodsUsing self-report questionnaires, we evaluate the scientific, professional, and personal growth of ESRs over the duration of the ITN and investigate whether this can be linked to network activities.ResultsOur quantitative analysis approach reveals substantial improvements in scientific, professional, and social skills among young researchers facilitated by the engagement in this interdisciplinary network. We provide case studies underlining the advantages of collaborative environments, featuring innovative scientific exchange within TranSYS.DiscussionWhile challenging, ITNs foster positive growth in young researchers, yet exhibit weaknesses such as balancing stakeholder interests and partner commitment. We believe this study may benefit a variety of stakeholders, from prospective ITN creators to industry partners, to design better sustainable training networks going forward.

#2933 Quality of care in patients after kidney transplantation with or without telemedicine

Abstract Background and Aims Patients after transplantation require special attention to avoid complications. This includes trained medical doctors but also adherent patients and the integration of other health provider. eHealth products have the potential to improve medical care further. Therefore, we established a telemedicine module in addition to the standard care, which is ongoing since 2019. Patients receive a smartphone app to provide vital signs, confirm the intake of medication and have access to their laboratory values, current medication plan and a medication alert. A telemedicine team values the incoming data and acts if needed (www.maccs-projekt.de). In this study, we want to evaluate how satisfied patients are with telemedicine compared to patients receiving standard care only. Method This is a monocentric and prospective cross-sectional study including a set of questionnaires. We have a positive decision of ethics committee at our center. The study started 2020 and is still ongoing. We ask patients with appointments at our center for participation. If a signed consent is available, patients receive a set of questionnaires. We choose the ZAPA (https://www.kbv.de/media/sp/ZAP_Fragebogen_Englisch.pdf) and ZUF-8 (https://gfqg.de/forschung/assessment/zuf-8), both validated questionnaires, to evaluate the quality of care. Results Demographic data: To date 247 patients participate, 156 (63.2%) with additional telemedicine and 91 (36.8%) as control (68% male). Median age is 57 years (±13.59 years). The youngest participant in the study is 21 years old, and the oldest is 85 years old, resulting in an age range of 64 years. In this population, the data indicate the following primary causes for transplantation: IgA Nephropathy (18.1%), ADPKD/Polycystic Kidney Disease (16.5%), unknown aetiology (8.6%), Chronic Glomerulonephritis (6.6%), and Focal Segmental Glomerulosclerosis (4.1%). Collectively, these conditions account for 53.9% of the underlying diseases leading to transplantation in this cohort. All patients are kidney recipients, 24 patients (9.7%) received a second kidney transplant, while only three patients (1.2%) received three kidneys. Nine patients (3.6%) had a mono pancreas transplantation, three patients (1.2%) received two pancreas and one patient (4%) had three pancreas transplantations. Two patients (8%) received a liver transplantation. The median after kidney transplantation is eleven years (± 9.4 years). The maximum of a functioning kidney is currently 39 years. Questionnaires: The ZAP evaluates the satisfaction of patients with their outpatient care centers. The questionnaire has five categories measuring various aspects of medical care (scale 0 to 100 points, higher values indicate greater satisfaction). The results are shown in Table 1. In average 94.7 to 96.8% of patients participated on this test. The questionnaire ZUF-8 evaluates the satisfaction of patients with the current care (every kind of care can be estimated). ZUF-8 includes eight questions and has a range of eight to 32 points. Higher sums indicate better satisfaction. The telemedicine group had a mean of 28.6 points (±3.2 points) and the control group a mean of 28.8 points (±3.4 points). Conclusion All over, patients are highly satisfied with the standard care after transplantation at our center. Patients with access to telemedicine seem to benefit from help regarding organization of their treatment plan. The data indicate trend to better doctor-patient interaction and cooperation of the doctor to support patients, although testing for significance could not rule out the null hypothesis. As the trial is still ongoing, we plan further evaluations with more participants.

#2945 Albuminuria – a neglected cause of referral to Nephrology

Abstract Background and Aims Albuminuria has been a recognized marker of cardiovascular risk for several years. Since 2012, the KDIGO guidelines have included this marker in the definition of chronic kidney disease (CKD), regardless of the Glomerular Filtration Rate (GFR). Despite this, a decade after, albuminuria is rarely researched as a marker of kidney disease, especially in Primary Health Care. We aim to assess the percentage of patients referred from the Health Centre to the Nephrology consultation of a district hospital, with an indication of the albuminuria value and also which percentage considered it the main cause of referral. Method Retrospective observational study of all patients referred from the Health Centre to the Nephrology consultation, from January 2022 to May 2023. A statistical analysis was carried out using Microsoft Excel 2016 (Microsoft ™). Results A total of 248 patients were referred and accepted for the nephrology consultation, 52.4% female, average age 74.8 years, with almost 80% (n = 198) of patients aged 65 or over and 41.5% (n = 103) aged over 80. The reasons for referral were: 53.6% due to an increase in creatinine levels; 21% due to imaging alterations; 19% due to a reduction in GFR and only 6.4% (16 patients) due to a urinary alteration, which included the presence of albuminuria. Only 26.2% (n = 65) of the patients referred had mentioned the value of albuminuria, and of these, around 73% (n = 49) already had an albuminuria value greater than or equal to 30 mg/dL; however, in only 14 of these patients (5.6% of all the patients referred) was albuminuria the main reason for the referral. Of the 49 patients with albuminuria: 44 patients (89.8%) had cardiovascular disease (around 98% with hypertension and around 28% with HF) and 34 patients (69.4%) had diabetes; 32 patients (65.3%) were medicated with ACE inhibitors/ARBs and only 13 patients (26.5%) were medicated with iSGLT2. The percentages of use of ACEIs/ARAs and iSGLT2 remain the same when analyzing the 14 patients who were referred for albuminuria. Conclusion Albuminuria remains an overlooked marker of CKD despite being an early marker and for which there are several interventions that seem to prevent the worsening and progression of CKD. It is imperative to train doctors, especially family doctors, in the early diagnosis of CKD, particularly in the presence of albuminuria and to implement measures to control it.

The Impact of Large Language Models on Medical Education: Preparing for a Revolutionary Shift in Doctor Training

Artificial intelligence holds immense potential to transform healthcare, though its widespread implementation has yet to be realized. This lag is partly because efforts have traditionally focused on easily predicted rather than easily actionable problems. Large language models (LLMs) represent a paradigm shift in our approach to artificial intelligence due to their accessibility and the fact that frontline clinicians are already testing them and identifying potential applications. LLMs in healthcare could significantly reduce clerical burdens, enhance patient education, and more. As we enter this new era of healthcare delivery, LLMs will bring both opportunities and challenges to medical education.[1-5] Future models should be designed to help trainees develop clinical reasoning skills, promote evidence-based medicine, and provide case-based training opportunities. LLMs may also necessitate changes in how clinical documentation is taught. Additionally, trainees can contribute to training and refining the next generation of LLMs as we explore the best ways to integrate these models into medical education. Whether we are ready or not, LLMs will soon be integrated into various aspects of clinical practice. We must collaborate closely with students and educators to ensure these models are developed with trainees in mind, guiding medical education responsibly into the next era.[21]

Этика – война – медицина: научный портрет проблемы в современных публикациях

Background: The search for the meaning of war, the justification of violence, the acceptance of guilt and other moral problems worried Russian thinkers of the 19th century. Russian religious philosophy considers morally justified only war in defense of the highest spiritual shrines, which I.A. Ilyin, N.A. Berdyaev, L.P. Karsavin, A.A. Kersnovsky and others call the defense of the home-land, life and peace. Aim: To assess research interest in the problems of ethics of war, ethics of military medicine, biomedical ethics in the intellectual field of open databases of scientific publications and offer a predictive plot of this scientific direction. Materials and methods: A comparative analysis of open databases of scientific publications RSCI, NEB, CyberLeninka was carried out. The study of literature sources in the problem field under consideration made it possible to determine the directions of the research search using vectors – keywords "ethics", "war", "military medicine". Publications from the open CyberLeninka data-base were used and analyzed as a model scientific network database. Quantitative (number of publications) and qualitative (annota-tions) indicators were studied. To identify attitudes towards the ethical problems of war, a sociological survey of medical university students was conducted, N = 154, average age of respondents (19.2 ± 1.9) years. Standards of confidentiality and autonomy were respected for respondents. Results: An analysis of the distribution of scientific publications by area of the international OECD classifier demonstrates the in-terest of researchers in the problem field of "Philosophy, ethics, religious studies" in 2020–2024. In all search options (using the key-words "War and Ethics", "War and Medicine", "Military Medicine") there are a larger number of publications in this area than in other social or sociological sciences. In the search query "war and ethics", there were 2 times more such publications than others. A pilot sur-vey of future doctors confirms the interdisciplinary connection between the ethics of war and medicine. Conclusion: The study demonstrates modern scientific interest in the ethics of war when studying problems related to war and mili-tary medicine. It would be of interest to conduct a more detailed study of the relationship between the ethics of war and medical ethics (bio-ethics) as an element of the ethical training of future doctors for professional activities in extreme conditions of peace and war.

Harnessing the power of AI in healthcare: benefits, concerns, and challenges for medical personnel training

Artificial intelligence (AI) has emerged as a transformative force in healthcare, offering numerous benefits such as improved diagnostics, personalized treatments, and enhanced patient care. However, its integration into medical personnel training comes with both opportunities and challenges. This research article explores the benefits of AI in healthcare training for doctors and other healthcare providers across various hospital departments, while also addressing concerns and challenges associated with its implementation. Recommendations and implications for optimizing AI integration in medical training are discussed.