Artificial Intelligence Medical Compendium

Drug-induced parkinsonism is a potentially reversible movement disorder that may be subtle and difficult to monitor in residential dementia care. Vision-based machine learning analysis of gait may provide unobtrusive longitudinal monitoring around me... read more 

In the age of generative artificial intelligence (AI), the assumption that writing a paper requires doing science no longer holds true. Before deciding how to respond to the surge of AI-generated papers, the field needs to state what biology research... read more 

PURPOSE: To compare digital designs of maxillary central incisor crowns generated by four artificial intelligence (AI)-based design systems with those created by an experienced dental technician using conventional computer-aided design (CAD) software... read more 

The catalytic and other sophisticated functions of biomolecules arise from the placement of many atoms in three-dimensional space. Here, we describe a generative artificial intelligence method for biopolymers, RFdiffusion3 (RFD3), which employs free ... read more 

Amid a U.S. push for "deprescribing," researchers are finding ways to match patients to their optimal treatment. read more 

BACKGROUND: Socially assistive robots (SARs) have the potential to support pediatric care; yet, routine clinical adoption remains limited. Because SARs interact directly with children, health care professionals (HCPs) may consider not only clinical u... read more 

INTRODUCTION: Military triage is a cornerstone of combat casualty care and aims to optimize the use of limited medical resources in hostile environments. Over time, military triage systems have evolved according to the nature of conflicts, operationa... read more 

MOTIVATION: De novo peptide sequencing from tandem mass spectra is essential for characterizing unknown proteins, identifying novel post-translational modifications, and analyzing samples without reference databases. While recent deep learning models... read more 

IntroductionReal-time artificial intelligence (AI) decision-support systems are increasingly proposed for use in endoscopic and minimally invasive surgery although how best to present such information intraoperatively is unclear. This study explored ... read more 

BACKGROUND: Globally, sedentary behavior is a leading risk factor for noncommunicable diseases and premature death. Although telerehabilitation has emerged as a promising method to increase access to physical therapy, the potential of artificial inte... read more