AI Medical Compendium

What Do the ICMJE Recommendations Tell Us?: Some Recommendations Regarding the Use of Artificial Intelligence, Focusing on the January 2026 Update.

The Journal of craniofacial surgery Mar 13, 2026

This article examines the January 2026 update to the International Committee of Medical Journal Editors (ICMJE) Recommendations and the section on artificial intelligence applications included in this update. The ICMJE Recommendations are presented a... read more

Integrated network toxicology and computational profiling of acetyl tributyl citrate-related mechanisms in Alzheimer's disease.

Journal of Alzheimer's disease : JAD Mar 13, 2026

BackgroundAcetyl tributyl citrate (ATBC), an eco-friendly plasticizer, exhibits poorly characterized neurotoxic effects.ObjectiveWe integrated network toxicology, machine learning, and molecular docking to elucidate molecular mechanisms underlying th... read more

Artificial intelligence and large language models as a new threat to scientific truth - a call to action.

European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society Mar 13, 2026

Recent developments in pharmacophore-based modeling of Ca2+/Calmodulin-dependent protein kinase II delta (CaMkIIδ) inhibitors for heart failure therapy.

Expert opinion on drug discovery Mar 13, 2026

INTRODUCTION: Calcium/calmodulin-dependent protein kinase II delta (CaMKIIδ) regulates cardiac excitation - contraction coupling and contributes to heart failure onset and progression. Sustained CaMKIIδ activation promotes sarcoplasmic reticulum Ca2+... read more

Deep learning based gestational age estimation from multi-view fetal brain magnetic resonance imaging.

Pediatric radiology Mar 13, 2026

BACKGROUND: Gestational age (GA) is essential for assessing fetal development, but conventional methods such as last menstrual period and ultrasound are often inaccurate, particularly in late pregnancy. Recent advances in deep learning (DL) and MRI o... read more

Pollution source identification, classification, and prediction in freshwater lakes: a hybrid water quality assessment framework integrating machine learning.

Environmental monitoring and assessment Mar 13, 2026

Freshwater ecosystems play a crucial role in maintaining ecological balance and supporting biodiversity. Assessing water quality and identifying pollution factors affected by seasonal changes is of utmost importance. The traditional approach for iden... read more

Loop of N2-polarized neutrophils and exhausted CD8 + T cells induces immunotherapy resistance in NSCLC.

Molecular and cellular biochemistry Mar 13, 2026

While neutrophils represent a prominent myeloid component in non-small cell lung cancer (NSCLC), the specific immunosuppressive functions of N2-polarized neutrophils and their mechanistic interactions with CD8⁺ T cells remain incompletely characteriz... read more

Integrating Generative AI into Nomograms for Breast Cancer Nodal Risk Predictions.

Annals of surgical oncology Mar 13, 2026

BACKGROUND: Nomograms predicting the likelihood of sentinel lymph node (SLN) metastasis in early-stage breast cancer can aid surgical decision-making but are underused due to the burden of variable review and input. This study evaluated whether OpenA... read more

A novel multimodal AI framework for early diagnosis of idiopathic Parkinson's disease.

Medical & biological engineering & computing Mar 13, 2026

GMC-DMA: GNN-Mamba Co-Contrastive Optimization for Disease-Metabolite Association Prediction.

Interdisciplinary sciences, computational life sciences Mar 13, 2026

As a product of cellular metabolic activity, the level change of metabolites is closely related to the occurrence and development of diseases, so the prediction of metabolite-disease association is a key issue in biomedical research. Traditional meth... read more

Artificial Intelligence Medical Compendium