Artificial Intelligence Medical Compendium

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

Showing 39,531 to 39,540 of 223,737 articles

Altered brain network topology in adolescents with major depressive disorder and bipolar disorder: A resting-state fMRI graph-theoretical and machine learning study.

Journal of affective disorders Mar 23, 2026
BACKGROUND: Adolescents with major depressive disorder (MDD) and bipolar disorder (BD) share substantial clinical overlap and elevated suicide risk, yet the neurobiological distinctions between these disorders and their associations with suicidality ... read more 

The evolution of T1-weighted lesion inpainting tools in patients with brain injury: A scoping review.

NeuroImage Mar 23, 2026
Focal brain lesions from Acquired Brain Injuries (ABIs) present as regions of abnormal signal intensity on T1-weighted Magnetic Resonance Imaging (MRI) scans. These can disrupt automated neuroimaging processing algorithms traditionally developed on a... read more 

Learning from every patient: the 'outpatient innovation clinic'.

Journal of clinical epidemiology Mar 23, 2026
OBJECTIVES: To keep pace with rapid medical innovation, health care must be organized to enable systematic learning from every patient. The 'outpatient innovation clinic' was established to support this goal. This paper presents 12 years of experienc... read more 

Ameliorative effect of Rhus verniciflua Stokes on high-fat diet-induced obesity and advanced analysis with machine learning and deep learning-based network pharmacology.

Life sciences Mar 23, 2026
AIMS: Obesity and metabolic dysfunction-associated steatotic liver disease (MASLD) arise from impaired redox and energy homeostasis, yet current therapies remain limited. We evaluated the anti-obesity efficacy and mechanisms of Rhus verniciflua Stoke... read more 

Engineering synthetic biology sensors with artificial intelligence: From programmable circuits to next-generation biosensing.

Biotechnology advances Mar 23, 2026
Artificial intelligence (AI) is advancing synthetic biology biosensors (SBBs), driving a fundamental shift from rational design to AI-driven prediction. This review establishes a systematic framework linking AI algorithms to the Design-Build-Test-Lea... read more 

Multi-domain ECG feature extraction enable accurate automated recognition of bipolar disorder, depression and schizophrenia.

Journal of biomedical informatics Mar 23, 2026
OBJECTIVE: To develop and validate a multi-lead electrocardiogram (ECG)-based machine learning system for automated classification of major psychiatric disorders (bipolar disorder, major depressive disorder, and schizophrenia) using cardiac autonomic... read more 

DynaMamba: Multi-scale dynamic interacting Mamba network for irregular clinical time series classification.

Journal of biomedical informatics Mar 23, 2026
Irregular clinical time series, composed of patient data from various physiological indicators, are essential for clinical decision-making. Effectively modeling these sequences for tasks like disease diagnosis and mortality prediction is a significan... read more 

A heterogeneous graph neural network for candidate gene prediction in endometriosis.

Journal of biomedical informatics Mar 23, 2026
OBJECTIVE: Precision medicine applications depend on elucidating the underlying molecular mechanisms of disease. However, many disorders, such as endometriosis, remain poorly characterised genetically due to data scarcity, positive-unlabelled (PU) im... read more 

A pipeline for meso- and microplastic identification in aquatic systems using machine learning and hyperspectral imaging.

Environmental pollution (Barking, Essex : 1987) Mar 23, 2026
Microplastic pollution presents major environmental and health challenges, requiring accurate identification and quantification to assess its distribution and impact. Conventional methods such as chromatography and spectrometry provide precise result... read more 

Biogeochemical and genomic drivers of groundwater DNRA: predictability of ammonium accumulation risk.

Environmental pollution (Barking, Essex : 1987) Mar 23, 2026
Widespread ammonium (NH4+-N) contamination in groundwater, with local concentrations exceeding 20 mg/L, challenges traditional nitrogen removal, which is dominated by denitrification. Dissimilatory nitrate reduction to ammonium (DNRA), a nitrogen-ret... read more 
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