ISGyP Live Journal Club: AI and Informatics in Gynecological Pathology
0:17 Introduction to AI and Informatics: The journal club focuses on using data and AI to support claims about patient tissue and disease in gynecological pathology.
1:00 ISGyP Events: Highlights past and upcoming events hosted by the International Society of Gynecological Pathologists (ISGyP), including webinars, slide seminars, podcasts, and interesting case presentations.
1:58 ISGyP Journal Club Cycles: Two concurrent journal club cycles are offered, catering to Western and Eastern Hemisphere time zones, covering various topics in gynecological pathology.
2:51 Call for Presenters and Moderators: The journal club encourages volunteers to present in various formats, particularly trainees and new-in-practice pathologists. Senior pathologists are also invited to moderate sessions.
3:42 Journal Club Format: Objectives include engaging pathologists in critical evaluation of current literature and providing opportunities for trainees and new practitioners. The format focuses on dissecting the background, methods, results, conclusions, strengths, weaknesses, and potential applications of research papers.
4:34 Presenter Introductions: Introduces three presenters: Dr. Francesca Vacca (resident, Barnes Jewish Hospital), Dr. Frankie Cheng (resident, Hong Kong), and Dr. Sylvia Jang (graduating resident, Houston Methodist).
5:59 Dr. Vacca's Presentation: Focuses on machine learning for predicting concurrent endometrial carcinoma in patients diagnosed with endometrial intraepithelial neoplasia. Discusses limitations of the study, including the small training dataset and lack of detailed histomorphological data.
18:59 Dr. Cheng's Presentation: Discusses BRCA1/2 reversion mutations in a pan-cancer cohort, explaining the concept of reversion mutations, their potential mechanisms, and therapeutic implications, particularly in relation to PARP inhibitor therapy.
36:55 Dr. Jang's Presentation: Explores computer-aided diagnosis for endometrial Pipelle biopsies, highlighting the AI program's ability to pre-select potentially premalignant cases and reduce pathologist workload. Discusses the program's strengths, limitations, and potential future applications in workflow prioritization and education.
51:37 Q&A and Conclusion: A brief question-and-answer session follows the presentations, with questions addressing the accuracy of prediction models and the methodology for identifying reversion mutations. The session concludes with acknowledgments and a reminder about ISGyP membership benefits.