Artificial Intelligence Medical Compendium

Surface ozone (O3) pollution remains severe in many Chinese cities despite declining precursor emissions, reflecting nonlinear interactions among emissions, meteorology, chemistry, and transport. Here, we integrated hourly observations from Yuncheng ... read more 

Artificial intelligence (AI) can support drug discovery, but benchmark performance alone does not establish experimental, operational or clinical benefit. This keynote review distinguishes predictive generalization, experimental confirmation, workflo... read more 

INTRODUCTION: Despite growing interest in large language models (LLMs) for endodontic diagnosis, prior studies have used simulated cases, examination formats, or small selected series. This multicenter retrospective study compared the diagnostic accu... read more 

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Artificial intelligence (AI) tools, particularly large language models (LLMs), have rapidly integrated into surgical and biomedical research, prompting fundamental questions about their appropriate role. This review presents a stage-specific framewor... read more 

BACKGROUND: Purpose-built AI well-being tools-designed with clinical safeguards for everyday emotional difficulties such as stress, grief, and relationship conflict-represent a growing category of digital mental health support. When such tools are re... read more 

OBJECTIVE: To characterise the reporting completeness of clinical trials involving large language model (LLM) interventions using established reporting guidelines. DESIGN: Systematic review and meta-research analysis. DATA SOURCES: Bibliographic data... read more 

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