Artificial Intelligence Medical Compendium

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

Showing 64,981 to 64,990 of 231,605 articles

Rumination is more important than other variables in the association between social media use and depression: A multi-method study.

Journal of affective disorders Jan 11, 2026
The relationship between social media use (SMU) and mental health, particularly depression, remains inconclusive. The present study recruited 925 college students from two universities in Chongqing, China, to further address this issue using multiple... read more 

P300-based support vector machine model for identifying adolescent with first-episode, drug-naïve major depressive disorder.

Journal of affective disorders Jan 11, 2026
BACKGROUND: Major depressive disorder (MDD) is diagnosed mainly through clinical interviews, highlighting a need for objective neurophysiological measures. Although P300 abnormalities have been well documented in adults with MDD, evidence in adolesce... read more 

Neural signatures of major depressive disorder with comorbid insomnia: Low gamma PoCG.R-INS.L connectivity as a potential biomarker.

Journal of affective disorders Jan 11, 2026
BACKGROUND: Insomnia is a common and distressing symptom in major depressive disorder (MDD). However, research focusing on the neurobiological mechanisms of MDD with comorbid insomnia remains limited, and objective biomarkers are still lacking. There... read more 

Development of a new tool for prediction of hospital length of stay and intensive care needs in trauma patients using Machine Learning.

Injury Jan 10, 2026
BACKGROUND: Trauma is a major global health burden leading to significant morbidity, disability, and mortality. Predictive models in trauma care traditionally focus on mortality, but early predictions of hospital length of stay (LOS) and intensive ca... read more 

Subregional Radiomics Analysis on Multiparametric MRI for Evaluating Lymphovascular Invasion and Survival in Gastric Cancer: A Multicenter Study.

Journal of magnetic resonance imaging : JMRI Jan 10, 2026
BACKGROUND: Accurate preoperative assessment of lymphovascular invasion (LVI) remains challenging due to the high heterogeneity of gastric cancer (GC). PURPOSE: To evaluate the feasibility of a subregion-based radiomics model using multiparametric MR... read more 

Ethical Considerations for the Use of Artificial Intelligence Tools in Surgery.

Clinics in colon and rectal surgery Jan 10, 2026
Artificial intelligence (AI) is rapidly transforming surgical care, offering unprecedented capabilities in diagnostics, planning, and intraoperative guidance. However, its integration into clinical practice raises complex ethical challenges that must... read more 

Linking hypolimnion to epilimnion in a stratified arctic lake: Machine learning-based estimation of hypolimnetic water quality from epilimnetic measurements.

Water research Jan 10, 2026
Understanding water quality in the deeper layers of stratified lakes is critical, as these zones govern ecosystem stability and biodiversity health. The hypolimnion, the bottommost layer of a stratified lake, is characterized by limited vertical circ... read more 

Machine learning assisted raman spectroscopy for the classification of ovarian cancer cells.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Jan 10, 2026
Ovarian cancer is one of the most lethal gynecological malignancies, asymptomatic early progression, ineffective screening, and high histological heterogeneity. Accurate subtype classification and detection of chemotherapy resistance are critical for... read more 

Artificial intelligence in breast cancer screening: A systematic review and meta-analysis of integration strategies.

European journal of radiology open Jan 10, 2026
OBJECTIVE: To compare AI-augmented and conventional double reading in organised breast-cancer screening with respect to cancer-detection rate (CDR), recall rate, and radiologist workload. METHODS: We conducted a systematic review and random-effects m... read more 

Automated diagnosis of usual interstitial pneumonia on chest CT via the mean curvature of isophotes.

European journal of radiology open Jan 10, 2026
PURPOSE: To test whether the mean curvature of isophotes (MCI), a geometric image transformation, can be used to improve automatic detection on chest CT of Usual Interstitial Pneumonia (UIP), a determining radiological pattern in the diagnosis of Int... read more 
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