Artificial Intelligence Medical Compendium

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

Showing 24,201 to 24,210 of 217,425 articles

IML-UNet: A brain-inspired spatiotemporal collaborative encoding method for medical image sequence registration.

Computer methods and programs in biomedicine Apr 30, 2026
BACKGROUND AND OBJECTIVE: Deformable medical image registration is important for radiotherapy planning, respiratory motion analysis, and organ function assessment. In medical image sequences such as 4D CT, organ motion involves large displacements, l... read more 

Predicting suicidal ideation in academic communities using machine learning methods: a cross-sectional study.

Lancet regional health. Americas Apr 30, 2026
BACKGROUND: Research consistently shows that depression and suicidal ideation (SI) often cooccur. However, SI can arise without elevated depressive symptoms, suggesting that additional factors may also contribute. This study investigated the protecti... read more 

In silico identification of NPACT-derived PAK1 inhibitors using machine learning, molecular docking, and dynamic simulation approaches.

Journal of molecular graphics & modelling Apr 30, 2026
P21-activated kinase 1 (PAK1) is a key serine/threonine kinase involved in cytoskeletal remodeling, cell proliferation, and survival, and its aberrant activation has been strongly associated with tumorigenesis in multiple cancer types. Owing to its c... read more 

Calibrated ROI-gated conditional computation for high-throughput and backbone-agnostic brain tumor MRI classification.

Computer methods and programs in biomedicine Apr 30, 2026
BACKGROUND AND OBJECTIVE: Multi-class brain tumor classification from magnetic resonance imaging must achieve high diagnostic accuracy while maintaining low inference latency and reliable confidence for real-time clinical deployment. High-capacity de... read more 

A deep learning lung cancer segmentation pipeline to facilitate CT-based radiomics.

Clinical radiology Apr 30, 2026
AIM: CT-based radio-biomarkers could provide non-invasive insights into tumour biology to risk-stratify patients. One of the limitations is the laborious manual segmentation of regions-of-interest (ROI). We present a deep learning auto-segmentation p... read more 

Harnessing artificial intelligence for pediatric health: Current trends and future opportunities.

iScience Apr 30, 2026
Artificial intelligence (AI) is transforming pediatric healthcare, offering novel opportunities for early diagnosis, personalized treatment, and more efficient clinical workflows. However, its integration into children's health faces significant chal... read more 

Automated Triage for New Keratoconus Referrals Using Multimodal Deep Learning.

Ophthalmology science Apr 30, 2026
PURPOSE: To develop and validate deep learning models for predicting keratoconus progression risk using multimodal imaging and clinical data, enabling risk-stratified patient monitoring. DESIGN: A retrospective cohort study with external validation. ... read more 

Multi-Omics and Machine Learning-Uncovered FLT1-Mediated Epithelial-Endothelial Crosstalk in Cellular Senescence Driving Clear Cell Renal Cell Carcinoma Malignancy.

FASEB journal : official publication of the Federation of American Societies for Experimental Biology Apr 30, 2026
Clear cell renal cell carcinoma (ccRCC) is distinguished by the absence of definitive diagnostic markers and efficacious treatment modalities, factors that collectively contribute to its unfavorable clinical prognosis. The targeting of senescent cell... read more 

Integration of Single-Cell RNA Sequencing and Machine Learning to Identify and Validate Prognostic Genes With Lymph Node Metastasis and Immune Cell Signatures in Lung Adenocarcinoma.

FASEB journal : official publication of the Federation of American Societies for Experimental Biology Apr 30, 2026
The poor prognosis of lung adenocarcinoma (LUAD) remains unimproved. This study aimed to identify lymph node metastasis (LNM)-related and cellular immunity-related prognostic genes in LUAD and propose novel strategies to improve its prognosis. LUAD-r... read more 

Identification and Screening of Lactate-Related Genes as Molecular Markers for Early Diagnosis of Steroid-Induced Osteonecrosis of the Femoral Head.

FASEB journal : official publication of the Federation of American Societies for Experimental Biology Apr 30, 2026
Steroid-induced osteonecrosis of the femoral head (SONFH) is a major cause of disability among young and middle-aged adults. However, current diagnosis relies primarily on imaging findings and clinical manifestations, as stable and reliable molecular... read more 
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