AI Medical Compendium

Flight rules for clinical AI: lessons from aviation for human-AI collaboration in medicine.

NPJ digital medicine Jan 31, 2026

The parallels between medicine and aviation are well-recognised. The aviation industry's early experience with automation improved safety and efficiency, but simultaneously introduced new vulnerabilities and occasionally created misplaced trust in co... read more

Towards a speech-based digital biomarker for cognitive impairment: speech as a proxy for cognitive assessment.

NPJ digital medicine Jan 31, 2026

With the growing prevalence of cognitive decline in ageing populations, accessible and scalable screening tools are essential for early intervention. This study investigated the potential of automated speech analysis as a proxy for cognitive assessme... read more

Cross platform social media analysis for mental health detection.

Discover mental health Jan 31, 2026

A machine learning model for the early prediction of Gram-negative bloodstream infection in ICU patients.

BMC medical informatics and decision making Jan 31, 2026

Enhancing WSI image classification with graph convolutional neural networks and model uncertainty modeling.

BMC medical imaging Jan 31, 2026

Diagnostic accuracy of artificial intelligence models for temporomandibular joint anomalies on MRI: a systematic review and meta-analysis.

Biomedical engineering online Jan 31, 2026

BACKGROUND: Artificial intelligence (AI) techniques are increasingly applied to magnetic resonance imaging (MRI) for detecting temporomandibular joint (TMJ) anomalies; however, their overall diagnostic accuracy and generalizability remain uncertain. ... read more

Sample size requirements for machine learning classification of binary outcomes in bulk RNA-Seq data.

BMC bioinformatics Jan 31, 2026

Factors linked to depressive symptoms in obsessive-compulsive disorder: a machine learning and network analysis from China OCD Cohort (COCC).

BMC psychiatry Jan 31, 2026

Stress hyperglycemia ratio and mortality risk in cardiometabolic multimorbidity: a multicenter retrospective study.

BMC cardiovascular disorders Jan 31, 2026

Health sciences students' attitudes toward artificial intelligence: predictors of ethical awareness, clinical decision-making, and public health perceptions-a cross-sectional study.

BMC medical education Jan 31, 2026

This study investigates health sciences students' attitudes toward artificial intelligence (AI) and the implications for ethical awareness, clinical decision-making, and public health. A cross-sectional survey was conducted between April 27 and May 1... read more

Artificial Intelligence Medical Compendium

Flight rules for clinical AI: lessons from aviation for human-AI collaboration in medicine.

Towards a speech-based digital biomarker for cognitive impairment: speech as a proxy for cognitive assessment.

Cross platform social media analysis for mental health detection.

A machine learning model for the early prediction of Gram-negative bloodstream infection in ICU patients.

Enhancing WSI image classification with graph convolutional neural networks and model uncertainty modeling.

Diagnostic accuracy of artificial intelligence models for temporomandibular joint anomalies on MRI: a systematic review and meta-analysis.

Sample size requirements for machine learning classification of binary outcomes in bulk RNA-Seq data.

Factors linked to depressive symptoms in obsessive-compulsive disorder: a machine learning and network analysis from China OCD Cohort (COCC).

Stress hyperglycemia ratio and mortality risk in cardiometabolic multimorbidity: a multicenter retrospective study.

Health sciences students' attitudes toward artificial intelligence: predictors of ethical awareness, clinical decision-making, and public health perceptions-a cross-sectional study.

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