AI Medical Compendium

A machine learning and explainable AI framework for adsorption energy prediction via effective representation of the adsorbate chemical environment.

The Journal of chemical physics Jan 14, 2026

Adsorption energies, which capture the interactions between adsorbates and solid surfaces, are central to heterogeneous catalysis. Machine learning (ML) offers a powerful approach for rapidly and accurately predicting adsorption energies from computa... read more

Developing a Suicide Risk Prediction Algorithm Using Electronic Health Record Data in Mental Health Care: Real-World Case Study.

JMIR medical informatics Jan 14, 2026

BACKGROUND: Artificial intelligence (AI) offers potential solutions to address the challenges faced by a strained mental health care system, such as increasing demand for care, staff shortages, and pressured accessibility. While developing AI-based t... read more

Nomograms Based on X-Ray Radiomics for Predicting Pain Progression in Knee Osteoarthritis Using Data From the Foundation for the National Institutes of Health: Development and Validation Study.

JMIR medical informatics Jan 14, 2026

BACKGROUND: Knee osteoarthritis (KOA) is one of the most prevalent chronic musculoskeletal disorders among the older adult population. Screening populations at risk of rapid progression of osteoarthritis and implementing appropriate early interventio... read more

Nerves Stimulates Crosstalk between Gastric Cancer and Group 3 Innate Lymphoid Cells to Enhance Immunosuppression.

Cancer research Jan 14, 2026

The immunosuppressive tumor microenvironment (TME) enables cancer cells to evade clinical immunotherapies. Neural networks are vital components of the TME, and interactions between cancer cells, neuronal cells, and immune cells mediate immunosuppress... read more

Impact of fine-grained learning rate configuration on the performance of medical image segmentation models.

Biomedical physics & engineering express Jan 14, 2026

Research on deep learning for medical image segmentation has shifted from single-modality networks to multimodal data fusion. Updating the parameters of such deep learning models is crucial for accurate segmentation predictions. Although existing opt... read more

Coronary artery segmentation in non-contrast cardiac CT using anatomy-informed contrastive learning and synthetic data.

Physics in medicine and biology Jan 14, 2026

Non-contrast cardiac CT (NCCT) offers a low-dose, cost-effective alternative to coronary CT angiography (CCTA) for large-scale coronary artery disease screening. However, automatic segmentation on NCCT is severely hindered by poor vessel visibility a... read more

DCDGNet: Dual-frequency cross-feature diffusion GAN for single fusion sonar image generation in exposed subsea pipeline inspection.

Marine pollution bulletin Jan 14, 2026

The exposed subsea pipelines are prone to damage and rupture, increasing the risk of marine pollution; therefore, their safety inspection is imperative. Multibeam Echo Sounder (MBES) and Side-Scan Sonar (SSS) are widely utilized in this task, and the... read more

A machine learning study of the predictors of fear of happiness in Turkey and the USA.

Anxiety, stress, and coping Jan 14, 2026

OBJECTIVE: To identify key predictors of Fear of Happiness (FOH) by examining 22 psychological and demographic variables in Turkish and American samples using machine learning. METHODS: Random forest analyses were conducted on cross-sectional data fr... read more

Machine Learning-Guided Design of Catalysts with SO2 Resistance for Low-Temperature NH3-SCR Reaction.

Environmental science & technology Jan 14, 2026

The design of efficient catalysts to mitigate SO2 poisoning in low-temperature Selective Catalytic Reduction of NOx (LT-SCR) is challenging. Herein, machine learning (ML) was employed to design catalysts with SO2 resistance. A multidimensional data s... read more

Approaches to assessing completeness of polyp resections in clinical practice: a systematic scoping review.

Endoscopy Jan 14, 2026

BACKGROUND: Protocols for standardized assessment of complete colorectal polyp resection are lacking. This may contribute to divergent quality standards and hinder reliable comparison of incomplete resection rates (IRRs) across resection devices, tec... read more

Artificial Intelligence Medical Compendium