Artificial Intelligence Medical Compendium

OBJECTIVES: Artificial intelligence (AI) promises to accelerate and democratize medical imaging, yet low- and middle-income countries (LMICs) face distinct barriers to adoption. This perspective identifies those barriers and proposes an action-orient... read more 

PURPOSE OF REVIEW: Robotic-assisted thoracic surgery (RATS) has emerged as a transformative approach in thoracic surgery, enabling enhanced precision and minimally invasive treatment for lung, esophageal, and mediastinal resections. These advances in... read more 

PURPOSE: The aim of this study was to perform a systematic review of diagnostic test accuracy of the criteria used to define keratoconus progression. METHODS: A systematic search of MEDLINE/PubMed, EMBASE, Web of Science Core Collection, and Cochrane... read more 

PURPOSE: The PET Response Criteria in Solid Tumours (PERCIST) 1.0 provides a standardized framework for evaluating treatment response using [18F]fluorodeoxyglucose ([18F]FDG) positron emission tomography - computed tomography (PET-CT), but its clinic... read more 

Artificial intelligence (AI) is rapidly transforming surgical care, with growing integration across all phases from preoperative planning to postoperative recovery. The role of AI in postoperative care represents a particularly promising frontier. Ap... read more 

Delays in stroke diagnosis contribute to long-term disability. Many patients still face barriers to effective risk factor management, timely detection, and access to poststroke rehabilitation. The emergence of artificial intelligence-enabled, consume... read more 

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ObjectiveWith the rapid adoption of artificial intelligence (AI) technologies by adolescents, the impact on their mental health is of critical concern. This article examines the emerging phenomenon of AI-related psychosis, which can be defined as new... read more 

OBJECTIVES: Large-scale radiographic datasets often include errors in labels such as body parts or projection, which can undermine automated image analysis. Therefore, we aimed to develop and externally validate two deep-learning models-one for categ... read more 

OBJECTIVES: High-resolution vessel wall imaging (HR-VWI) is essential for diagnosing vulnerable intracranial atherosclerotic plaques, but its interpretation requires expertise. This study investigates the integration of large language models (LLMs) a... read more