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Background: Breast reconstruction following mastectomy is a critical component of breast cancer treatment, aimed at improving patient quality of life. However, the management is fraught with potential complications, including skin necrosis and wound dehiscence, which can significantly impact clinical outcomes. Case Presentation: We report a unique case of a patient, 5 years post-breast reconstruction following mastectomy and radiation therapy, who developed severe skin necrosis and wound dehiscence due to a brown recluse spider bite on the reconstructed breast. The complication necessitated the debridement of skin, removal of the implant, and further reconstruction with a latissimus flap. Discussion: The case underscores the unusual etiology of spider bite-induced necrosis in breast reconstruction and highlights the challenges and strategic considerations in managing such complications. Upon presentation, the patient's affected breast area showed signs of extensive necrosis and wound dehiscence, directly attributed to the cytotoxic effects of the brown recluse spider's venom. The venom's pathophysiology involves a complex cascade, leading to local and systemic effects. The local effects, marked by dermonecrosis, com- promised skin integrity in this instance. Systemic effects, not observed in this patient but potentially severe, can include hemolysis, coagulopathy, and acute renal failure, highlighting the seriousness of brown recluse spider bites. Conclusion: In conclusion, this case illustrates the complexities of managing breast reconstruction post-mastectomy complications, particularly those caused by external factors such as brown recluse spider bites. It highlights the need for meticulous attention to unusual etiologies of necrosis and dehiscence, demonstrating the importance of adaptable surgical strategies and a thorough understanding of venom pathophysiology in ensuring successful patient outcomes.

Abstract BackgroundThis research explores the capabilities of ChatGPT-4 in passing the American Board of Family Medicine (ABFM) Certification Examination. Addressing a gap in existing literature, where earlier artificial intelligence (AI) models showed limitations in medical board examinations, this study evaluates the enhanced features and potential of ChatGPT-4, especially in document analysis and information synthesis. ObjectiveThe primary goal is to assess whether ChatGPT-4, when provided with extensive preparation resources and when using sophisticated data analysis, can achieve a score equal to or above the passing threshold for the Family Medicine Board Examinations. MethodsIn this study, ChatGPT-4 was embedded in a specialized subenvironment, “AI Family Medicine Board Exam Taker,” designed to closely mimic the conditions of the ABFM Certification Examination. This subenvironment enabled the AI to access and analyze a range of relevant study materials, including a primary medical textbook and supplementary web-based resources. The AI was presented with a series of ABFM-type examination questions, reflecting the breadth and complexity typical of the examination. Emphasis was placed on assessing the AI’s ability to interpret and respond to these questions accurately, leveraging its advanced data processing and analysis capabilities within this controlled subenvironment. ResultsIn our study, ChatGPT-4’s performance was quantitatively assessed on 300 practice ABFM examination questions. The AI achieved a correct response rate of 88.67% (95% CI 85.08%-92.25%) for the Custom Robot version and 87.33% (95% CI 83.57%-91.10%) for the Regular version. Statistical analysis, including the McNemar test (PP ConclusionsThe study demonstrates that ChatGPT-4, particularly when equipped with specialized preparation and when operating in a tailored subenvironment, shows promising potential in handling the intricacies of medical board examinations. While its performance is comparable with the expected standards for passing the ABFM Certification Examination, further enhancements in AI technology and tailored training methods could push these capabilities to new heights. This exploration opens avenues for integrating AI tools such as ChatGPT-4 in medical education and assessment, emphasizing the importance of continuous advancement and specialized training in medical applications of AI.