AI Medical Compendium

Explainable machine learning for mental health prediction from social media behavior: a nested cross-validation study with SHAP and LIME interpretability.

Discover mental health Jan 22, 2026

Social media behavior is a promising source of early indicators for psychological distress; however, predictive models often lack transparency, limiting their adoption in mental health settings. This paper describes an explainable machine learning fr... read more

Artificial Intelligence-based investigation of filler selection strategies.

Law and human behavior Jan 22, 2026

OBJECTIVE: Lineup construction relies on matching fillers to the suspect's appearance or to the eyewitness's description of the perpetrator (match to description, MTD). Recent work shows that low (vs. high)-similarity fillers beyond MTD improve discr... read more

M-Count: an application that uses machine learning object detection and color thresholding to count settled mussel larvae.

Analytical methods : advancing methods and applications Jan 22, 2026

Quantification of biofouling is a complex task that often involves counting both isolated and tightly packed groups of organisms on a test surface. Mussel larvae, which settle as both individuals and as clumps, are an important fouling organism becau... read more

Machine-learning-guided high-throughput design of asymmetric A-DA'D-A acceptors toward efficient organic solar cells.

Materials horizons Jan 22, 2026

Asymmetric structure design in non-fullerene acceptors (NFAs) has driven a significant breakthrough in the power conversion efficiency (PCE) of organic solar cells (OSCs). However, finding high-performing moieties out of the vast amount of candidates... read more

Deep Learning-Based Prediction of Cardiopulmonary Disease in Retinal Images of Premature Infants.

JAMA ophthalmology Jan 22, 2026

IMPORTANCE: Bronchopulmonary dysplasia (BPD) and pulmonary hypertension (PH) are leading causes of morbidity and mortality in premature infants. OBJECTIVE: To determine whether images obtained as part of retinopathy of prematurity (ROP) screening mig... read more

MYO1C is a urinary extracellular vesicle biomarker and mediator of podocyte injury in diabetic nephropathy.

JCI insight Jan 22, 2026

Type 2 diabetic nephropathy (T2DN) is a major complication of type 2 diabetes and a leading cause of chronic kidney disease. This study aimed to explore MYO1C as both a candidate biomarker and elucidate its role as a mechanistic mediator of podocyte ... read more

Material Synthesis 2025 (MatSyn25) Data Set for 2D Materials.

ACS applied materials & interfaces Jan 22, 2026

Two-dimensional (2D) materials have shown broad application prospects in fields such as energy, environment, and aerospace owing to their unique electrical, mechanical, thermal, and other properties. With the development of artificial intelligence (A... read more

Explainable Artificial Intelligence for the Mayo Endoscopic Score in Ulcerative Colitis.

Digestion Jan 22, 2026

INTRODUCTION: The Mayo endoscopic score (MES) is used widely in ulcerative colitis (UC) for severity assessment and therapeutic decision-making. Deep learning (DL) models developed to determine MES currently lack explainability. We aimed to develop e... read more

Assessing in-hospital mortality risk in ICU lung cancer patients using machine learning: An analysis based on the MIMIC-IV database.

PloS one Jan 22, 2026

BACKGROUND: Patients with advanced lung cancer admitted to the intensive care unit (ICU) face a substantially elevated risk of in-hospital mortality. Early identification of high-risk individuals is essential to support timely clinical decision-makin... read more

Awareness, trust, and expectations of AI for glaucoma care among Bulgarian ophthalmologists: Role of demographic factors.

PLOS digital health Jan 22, 2026

Artificial intelligence (AI) holds promise for enhancing glaucoma screening and management, yet its adoption depends on clinician perceptions, particularly in resource-limited regions like Eastern Europe. This study explores awareness, trust, and exp... read more

Artificial Intelligence Medical Compendium