Navigating merits and limits on the current perspectives and ethical challenges in the utilization of artificial intelligence in psychiatry - An exploratory mixed methods study.

BACKGROUND: The integration of Artificial Intelligence (AI) in psychiatry presents opportunities for enhancing patient care but raises significant ethical concerns and challenges in clinical application. Addressing these challenges necessitates an informed and ethically aware psychiatric workforce capable of integrating AI into practice responsibly. METHODS: A mixed-methods study was conducted to assess the outcomes of the "CONNECT with AI" - (Collaborative Opportunity to Navigate and Negotiate Ethical Challenges and Trials with Artificial Intelligence) workshop, aimed at exploring AI's ethical implications and applications in psychiatry. This workshop featured presentations, discussions, and scenario analyses focusing on AI's role in mental health care. Pre- and post-workshop questionnaires and focus group discussions evaluated participants' perspectives, and ethical understanding regarding AI in psychiatry. RESULTS: Participants exhibited a cautious optimism towards AI, recognizing its potential to augment mental health care while expressing concerns over ethical usage, patient-doctor relationships, and AI's practical application in patient care. The workshop significantly improved participants' ethical understanding, highlighting a substantial knowledge gap and the need for further education in AI among psychiatrists. CONCLUSION: The study underscores the necessity of continuous education and ethical guideline development for psychiatrists in the era of AI, emphasizing collaborative efforts in AI system design to ensure they meet clinical needs ethically and effectively. Future initiatives should aim to broaden psychiatrists' exposure to AI, fostering a deeper understanding and integration of AI technologies in psychiatric practice.

Twelve tips for addressing ethical concerns in the implementation of artificial intelligence in medical education.

Artificial Intelligence (AI) holds immense potential for revolutionizing medical education and healthcare. Despite its proven benefits, the full integration of AI faces hurdles, with ethical concerns standing out as a key obstacle. Thus, educators should be equipped to address the ethical issues that arise and ensure the seamless integration and sustainability of AI-based interventions. This article presents twelve essential tips for addressing the major ethical concerns in the use of AI in medical education. These include emphasizing transparency, addressing bias, validating content, prioritizing data protection, obtaining informed consent, fostering collaboration, training educators, empowering students, regularly monitoring, establishing accountability, adhering to standard guidelines, and forming an ethics committee to address the issues that arise in the implementation of AI. By adhering to these tips, medical educators and other stakeholders can foster a responsible and ethical integration of AI in medical education, ensuring its long-term success and positive impact.

In the ever-evolving landscape of medical education, the integration of Artificial Intelligence (AI) stands out as a revolutionary innovation with the potential to reshape learning methodologies and advance healthcare practices.However, this transformative journey is impeded by ethical concerns that demand careful attention.This reflects a delicate balance that educators must strike between embracing innovation and ensuring responsible implementation.The twelve provided tips serve as a practical guide, highlighting the complexities involved in incorporating AI ethically.By following these guidelines, educators contribute to shaping a healthcare workforce that is not only technologically proficient but also ethically grounded.

Appraising the performance of ChatGPT in psychiatry using 100 clinical case vignettes.

BACKGROUND: ChatGPT has emerged as the most advanced and rapidly developing large language chatbot system. With its immense potential ranging from answering a simple query to cracking highly competitive medical exams, ChatGPT continues to impress the scientists and researchers worldwide giving room for more discussions regarding its utility in various fields. One such field of attention is Psychiatry. With suboptimal diagnosis and treatment, assuring mental health and well-being is a challenge in many countries, particularly developing nations. To this regard, we conducted an evaluation to assess the performance of ChatGPT 3.5 in Psychiatry using clinical cases to provide evidence-based information regarding the implication of ChatGPT 3.5 in enhancing mental health and well-being. METHODS: ChatGPT 3.5 was used in this experimental study to initiate the conversations and collect responses to clinical vignettes in Psychiatry. Using 100 clinical case vignettes, the replies were assessed by expert faculties from the Department of Psychiatry. There were 100 different psychiatric illnesses represented in the cases. We recorded and assessed the initial ChatGPT 3.5 responses. The evaluation was conducted using the objective of questions that were put forth at the conclusion of the case, and the aim of the questions was divided into 10 categories. The grading was completed by taking the mean value of the scores provided by the evaluators. Graphs and tables were used to represent the grades. RESULTS: The evaluation report suggests that ChatGPT 3.5 fared extremely well in Psychiatry by receiving "Grade A" ratings in 61 out of 100 cases, "Grade B" ratings in 31, and "Grade C" ratings in 8. Majority of the queries were concerned with the management strategies, which were followed by diagnosis, differential diagnosis, assessment, investigation, counselling, clinical reasoning, ethical reasoning, prognosis, and request acceptance. ChatGPT 3.5 performed extremely well, especially in generating management strategies followed by diagnoses for different psychiatric conditions. There were no responses which were graded "D" indicating that there were no errors in the diagnosis or response for clinical care. Only a few discrepancies and additional details were missed in a few responses that received a "Grade C" CONCLUSION: It is evident from our study that ChatGPT 3.5 has appreciable knowledge and interpretation skills in Psychiatry. Thus, ChatGPT 3.5 undoubtedly has the potential to transform the field of Medicine and we emphasize its utility in Psychiatry through the finding of our study. However, for any AI model to be successful, assuring the reliability, validation of information, proper guidelines and implementation framework are necessary.

Social, Ethical and Treatment Related Problems Faced by Healthcare Workers in the Care of Head and Neck Cancer Patients: A Narrative Review from the Bioethics Consortium from India.

Head and neck cancer (HNC) presents a variety of ethical difficulties for an oncologist involved in screening, diagnosis, treatment, and rehabilitation that are challenging to address, especially for those professionals/people who are not trained in medical ethics. The bioethics department has spent the last ten years compiling information and rating the seriousness of numerous niche ethical concerns and their effects on healthcare professionals practising in India. Based on these findings, the current analysis makes an effort to outline the different challenges faced by oncologists when screening, diagnosing, treating, and rehabilitating people affected with HNC, particularly in a traditional nation like India. According to the authors, this is the first overview to address these issues from an Indian viewpoint, and it represents a small effort to document a crucial but unaddressed component of cancer treatment. It is hoped that these endeavours would aid in educating upcoming healthcare professionals on how to effectively handle the difficulties.

Challenges in the Teaching-Learning Process of the Newly Implemented Module on Bioethics in the Undergraduate Medical Curriculum in India.

The National Medical Commission of India introduced the Competency Based Curriculum in Medical Education for undergraduate medical students in 2019 with a new module named Attitude, Ethics and Communication (AETCOM) across the country. There was a consensus for teaching medical ethics in an integrated way, suggesting dedicated hours in each phase of undergraduate training. The AETCOM module was prepared and circulated as a guide to acquire necessary competency in attitudinal, ethical and communication domains. This study was aimed to explore the perceptions of students and medical teachers and identify the challenges in teaching and learning process of the newly implemented AETCOM module. It was a mixed method designed study with structured questionnaires for students and teachers at various medical schools in India. Based on the quantitative data, in-depth interviews with medical teachers were undertaken. Challenges were perceived by both students and teachers. The students had a mixed perception, facing difficulties in passive learning with scarce resource materials. Challenges identified by teachers were a lack of knowledge and skills required for teaching bioethics, the logistics of managing large numbers of students in the stipulated time frame, interdisciplinary integration-both horizontal and vertical, and assessment program in terms competency-based education. The study draws the attention of all stakeholders for a revision and efforts for further improvement in the teaching and assessment process, and setting a standard model in medical education in India.

Embitterment: The Nature of the Construct and Critical Issues in the Light of COVID-19.

Embitterment is a construct that is vast and complex and may be seen in a variety of conditions and circumstances. The following paper reviews the construct of embitterment and tries to explain the concept from a psychological perspective. It also looks at the role of embitterment in the genesis of psychiatric disorders like depression, anxiety, and PTSD, while focusing on the nature and factors needed to make a diagnosis of Posttraumatic Embitterment Disorder. Situations due to the current pandemic where embitterment may develop are discussed and this is coupled with a need to manage embitterment when it develops, as it may progress to a chronic condition where its effects may be both physical and psychological. Embitterment and its management from a psychotherapy standpoint is also discussed and the same is done from a workplace perspective.

Novel horizontal and vertical integrated bioethics curriculum for medical courses.

Studies conducted by the University of Haifa, Israel in 2001, evaluating the effectiveness of bioethics being taught in medical colleges, suggested that there was a significant lack of translation in clinical care. Analysis also revealed, ineffectiveness with the teaching methodology used, lack of longitudinal integration of bioethics into the undergraduate medical curriculum, and the limited exposure to the technology in decision making when confronting ethical dilemmas. A modern novel bioethics curriculum and innovative methodology for teaching bioethics for the medical course was developed by the UNESCO Chair in Bioethics, Haifa. The horizontal (subject-wise) curriculum was vertically integrated seamlessly through the entire course. An innovative bioethics teaching methodology was employed to implement the curriculum. This new curriculum was piloted in a few medical colleges in India from 2011 to 2015 and the outcomes were evaluated. The evaluation confirmed gains over the earlier identified translation gap with added high student acceptability and satisfaction. This integrated curriculum is now formally implemented in the Indian program's Health Science Universities which is affiliated with over 200 medical schools in India. This article offers insights from the evaluated novel integrated bioethics curriculum and the innovative bioethics teaching methodology that was used in the pilot program.

Validation of quinidine as a probe substrate for the in vitro P-gp inhibition assay in Caco-2 cell monolayer.

Although quinidine has been recommended as a probe substrate for the P-gp inhibition assay using Caco-2 cell monolayer, it has not been studied widely in the in vitro system. In the present investigation, in vitro permeability studies using Caco-2 cell monolayer were carried out in order to optimize and validate quinidine as a P-gp probe substrate. In bi-directional Caco-2 assay across different passages, a good efflux ratio of more than ten was consistently obtained at 100 nM donor concentration of quinidine. Quinidine was found to have a good mass balance in the Caco-2 system. The inhibitory potencies of known P-gp inhibitors viz verapamil, ketoconazole, tacrolimus and cyclosporine A, determined over a wide concentration range, showed low apparent IC(50) values. Overall, quinidine was found to be a good probe substrate for routine use to assess the in vitro inhibitory potency of NCEs on Pgp-mediated transport.

Development and validation of RP-HPLC-fluorescence method for quantitative determination of quinidine, a probe substrate for P-glycoprotein inhibition assay using Caco-2 cell monolayer.

A simple, sensitive and specific reverse-phase high-performance liquid chromatographic (RP-HPLC) method with fluorescence detection was developed for quantitation of quinidine from HBSS buffer. The method was applicable in the bi-directional transport assay for evaluation of the inhibitory effect of test compounds on P-glycoprotein-mediated quinidine transport; quinidine was used as a probe P-glycoprotein substrate. The calibration curve was linear (correlation coefficient >/=99) in the range 0.30-100.00 nm. The method was validated and is specific and sensitive with limit of quantitation of 300 pm for quinidine. The method was found to be accurate and precise in the working calibration range. Stability studies were carried out at different storage conditions where the analyte was found to be stable. The applicability and reliability of the analytical method was evaluated by successful demonstration of efflux ratio (P(app)B --> A/P(app)A --> B) in the Caco-2 cell monolayer efflux assay. The efflux ratio for quinidine (100 nm) alone was 10.8, which reduced to less than 2 in the presence of the classical P-gp inhibitors verapamil and ketoconazole (100 mum each).