Role of Biomarkers for the Screening of Preeclampsia, are we there yet? N/A

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Serial case reports: Pregnancy with Lucio’s phenomenon of leprosy in dr. Soetomo hospital, Surabaya

Leprosy is a complex disease which will affect in many aspects of the patient. In dr. Soetomo hospital, there were two cases of pregnancy with leprosy and Lucio’s phenomenon from 2014 until 2018. Both had been receiving multidrug therapy (MDT) before pregnancy but stopped due to lack of compliance. First case was resulted with term. Second case was admitted with worse condition than the first case, fetal growth restriction and ended with preterm delivery probably because the severity of the case. Lucio’s phenomenon incidence is increased in pregnancy due to immunodeficient condition. This serial case report shows that the initial diagnosis and optimum treatment of leprosy is very important especially in women of child-bearing age

Disparities in medical recommendations from AI-based chatbots across different countries/regions

Abstract This study explores disparities and opportunities in healthcare information provided by AI chatbots. We focused on recommendations for adjuvant therapy in endometrial cancer, analyzing responses across four regions (Indonesia, Nigeria, Taiwan, USA) and three platforms (Bard, Bing, ChatGPT-3.5). Utilizing previously published cases, we asked identical questions to chatbots from each location within a 24-h window. Responses were evaluated in a double-blinded manner on relevance, clarity, depth, focus, and coherence by ten experts in endometrial cancer. Our analysis revealed significant variations across different countries/regions (p < 0.001). Interestingly, Bing's responses in Nigeria consistently outperformed others (p < 0.05), excelling in all evaluation criteria (p < 0.001). Bard also performed better in Nigeria compared to other regions (p < 0.05), consistently surpassing them across all categories (p < 0.001, with relevance reaching p < 0.01). Notably, Bard's overall scores were significantly higher than those of ChatGPT-3.5 and Bing in all locations (p < 0.001). These findings highlight disparities and opportunities in the quality of AI-powered healthcare information based on user location and platform. This emphasizes the necessity for more research and development to guarantee equal access to trustworthy medical information through AI technologies