Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 1 to 10 of 220,293 articles

Physician-revised AI-generated drafts are associated with higher ratings of written explanations in end-of-life care in the intensive care unit: a scenario-based single-center cross-sectional study.

Journal of intensive care
BACKGROUND: In end-of-life care (EOL) in the intensive care unit (ICU), intensivists are expected to provide medically appropriate and empathetic communication to support shared decision-making with patients and their families. Large language models ... read more 

Machine Learning Analysis of Single-Cell Transcriptomics Identifies a B-Cell-Associated Fibroblast Signature Predictive of Renal Fibrosis Severity.

Iranian journal of immunology : IJI
BACKGROUND: Renal fibrosis represents the final common pathway of chronic kidney disease (CKD); however, both its definitive diagnostic biomarkers and the principal cellular mediators driving its progression remain incompletely characterized. OBJECTI... read more 

Using artificial intelligence in clinical practice: Royal Australasian College of Physicians position statement.

Internal medicine journal
The Royal Australasian College of Physicians (RACP) has recently issued a position statement titled 'Using artificial intelligence in clinical practice', which provides a framework for the safe and ethical integration of artificial intelligence (AI) ... read more 

Enhanced classification and identification of bacterial and viral microorganisms by integration of MALDI-TOF mass spectrometry with artificial intelligence.

Scientific reports
The accurate and rapid identification of bacterial pathogens is essential in clinical setups and medical biodefense. Matrix-Assisted Laser Desorption Ionization Time-Of-Flight (MALDI-TOF) mass spectrometry has emerged as a powerful tool for fast and ... read more 

Beyond robotics: a systematic review of technology integration in direct anterior approach total hip arthroplasty.

Journal of robotic surgery
Technology-assisted implant positioning has emerged as a strategy to improve component placement accuracy in total hip arthroplasty (THA). However, the comparative effectiveness of navigation, robotic-assisted, and artificial intelligence-assisted sy... read more 

Multi-task learning for forensic age and sex estimation using large foundation models on pelvic radiographs: a multi-center study.

International journal of legal medicine
Age and sex estimation are essential tasks in forensic science, law enforcement and disaster victim identification. Previous methods hardly implement the two tasks simultaneously due to limitations of models and the complexity of the multitask. We pr... read more 

Enhanced classification and identification of bacterial and viral microorganisms by integration of MALDI-TOF mass spectrometry with artificial intelligence.

Scientific reports
The accurate and rapid identification of bacterial pathogens is essential in clinical setups and medical biodefense. Matrix-Assisted Laser Desorption Ionization Time-Of-Flight (MALDI-TOF) mass spectrometry has emerged as a powerful tool for fast and ... read more 

Using artificial intelligence in clinical practice: Royal Australasian College of Physicians position statement.

Internal medicine journal
The Royal Australasian College of Physicians (RACP) has recently issued a position statement titled 'Using artificial intelligence in clinical practice', which provides a framework for the safe and ethical integration of artificial intelligence (AI) ... read more 

Overcoming the opaque side of AI in healthcare: a lifecycle based approach.

Expert review of medical devices
INTRODUCTION: Transparency has emerged as a foundational condition for trustworthy Artificial Intelligence (AI) in healthcare. Despite its centrality, practical approaches to systematically operationalize transparency across the entire lifecycle of A... read more 

Artificial intelligence-driven transformation in healthcare: the mediating role of technostress in the impact of openness to organizational change and attitude toward AI on innovative behavior.

Journal of health organization and management
PURPOSE: The rapid proliferation of artificial intelligence (AI) applications in healthcare is transforming the ways in which employees interact with technology, making it crucial to understand the effects of this process on employee behavior. The pu... read more