Readable research linked to original sources
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Browse normalized, publication-ready research with direct links to its evidence and source.
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Readable research linked to original sources
Browse normalized, publication-ready research with direct links to its evidence and source.
Loading articles data…
Readable research linked to original sources
Browse normalized, publication-ready research with direct links to its evidence and source.
7 articles
Newest firstBackgroundIn the world of Artificial Intelligence (AI), Generative Pretrained Transformer-3 (GPT-3), has gained significant popularity for its demonstrated potential in medical education and diagnostics. RationaleWhile AI has shown promising results in healthcare thus far, its understanding of ocular urgencies, particularly uveitis, demands a focused investigation. MethodsThis study explored the application of Cha…
Open article record in new tab ↗Unmet health-related social needs (HRSNs) are major drivers of poor health outcomes in early childhood. Children with unmet HRSNs are at greater risk for developmental delays, caregiver stress, and increased healthcare utilization, yet current screening approaches in pediatric primary care are resource-intensive and inconsistently implemented. AI-powered chatbots (conversational agents or virtual assistants) may o…
BackgroundThe potential of generative artificial intelligence (GenAI) to augment clinical consultation services in clinical microbiology and infectious diseases (ID) is being evaluated. MethodsThis cross-sectional study evaluated the performance of four GenAI chatbots (GPT-4.0, a Custom Chatbot based on GPT-4.0, Gemini Pro, and Claude 2) by analysing 40 unique clinical scenarios synthesised from real-life clinical…
BackgroundGenerative artificial intelligence (AI) technology has the revolutionary potentials to augment clinical practice and telemedicine. The nuances of real-life patient scenarios and complex clinical environments demand a rigorous, evidence-based approach to ensure safe and effective application. MethodsWe present a protocol for the systematic evaluation of generative AI large language models (LLMs) as chatbo…
Open article record in new tab ↗The integration of artificial intelligence (AI) in healthcare has emerged as a transformative force, promising to enhance medical diagnosis, treatment, and overall healthcare delivery. Hence, this study investigates the university students perceptions toward using AI in healthcare. A cross-sectional survey was conducted at two major universities using a paper-based questionnaire from September 2023 to November 202…
Open article record in new tab ↗The safety of large language models (LLMs) as mental health chatbots is not fully established. This study evaluated the risk escalation responses of publicly available ChatGPT conversational agents when presented with prompts of increasing depression severity and suicidality. The average referral point to a human was at the midpoint of escalating prompts. However, most agents only definitively recommended professi…
Open article record in new tab ↗ObjectiveTo evaluate the clinical potential of large language models (LLMs) in ophthalmology using a more robust benchmark than raw examination scores. Materials and methodsGPT-3.5 and GPT-4 were trialled on 347 questions before GPT-3.5, GPT-4, PaLM 2, LLaMA, expert ophthalmologists, and doctors in training were trialled on a mock examination of 87 questions. Performance was analysed with respect to question subje…