Artificial Intelligence Medical Compendium

Synthesized speech technology holds potential for enabling natural conversations between humans and machines, particularly in social robotics. However, the combination of synthesized speech with social robots still lacks some qualities of natural spe... read more 

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BACKGROUND: Early detection of cancer reduces mortality and morbidity, but conventional screening methods often face challenges such as invasiveness, limited accessibility and high resource demands. Emerging cancer screening technologies could overco... read more 

OBJECTIVE: To provide a comprehensive summary of the controlled-access Age-Related Eye Disease Study 2 (AREDS2) data elements, encompassing phenotypic, imaging, dietary, genetic, and ancillary data. DESIGN: Dataset description of a multicenter, phase... read more 

Water transparency is a critical indicator of water quality and aquatic ecosystem health, governing key ecological processes such as underwater photosynthesis, biodiversity dynamics, and human water security. This review synthesizes advances in the t... read more 

As artificial intelligence (AI) becomes increasingly integrated into healthcare, osteopathic medicine faces a critical inflection point. This commentary examines how AI integration can augment osteopathic practice while addressing potential challenge... read more 

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BACKGROUND AND OBJECTIVES: Videomics, which integrates video-endoscopy and artificial intelligence, presents significant potential for real-time surgical analysis. Accurate intraoperative segmentation of pituitary adenomas (PAs) is crucial in endosco... read more 

Segmentation of cardiomyocytes in microscopic 3D volumes is key to our understanding of cardiac (patho-)physiology; however, it poses substantial experimental and analytical challenges. Therefore, researchers often resort to inferring 3D information ... read more