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Use of artificial intelligence for health science in low- and middle-income countries: NIH portfolio landscape, gaps and opportunities

Large language models for simplifying radiology reports: a systematic review and meta-analysis of patient, public, and clinician evaluations

Artificial Intelligence and Health Equity

Bridging the digital divide: artificial intelligence as a catalyst for health equity in primary care settings

Machine learning and AI for delirium prediction with Electronic Health Records (EHR)

Machine learning and artificial intelligence for delirium prediction with Electronic Health Records (EHR): a scoping review.

Responsible adoption of multimodal artificial intelligence in health care: promises and challenges

Artificial intelligence and infectious diseases: scope and perspectives

Mapping the susceptibility of large language models to medical misinformation across clinical notes and social media: a cross-sectional benchmarking analysis

Artificial Intelligence-Based Predictive Modeling for Early Detection of Sepsis in Hospitalized Patients: a Systematic Review and Meta-Analysis

Artificial intelligence in inflammatory bowel disease: current applications and future directions

Advancements in artificial intelligence transforming medical education: a comprehensive overview.

Automated retinal image analysis systems to triage for grading of diabetic retinopathy: a large-scale, open-label, national screening programme in England

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