AI Medical Compendium

Artificial intelligence and radiomicsadiomics on computed tomography for differentiating hepatocellular carcinoma and intrahepatic cholangiocarcinoma: a multimodal integration approach.

BMC medical imaging Mar 28, 2026

Prediction of in-hospital mortality risk in cardiac arrest patients using machine learning models: a study based on the MIMIC-IV database with external validation from Yunnan University Affiliated Hospital.

BMC medical informatics and decision making Mar 28, 2026

Automated segmentation and quantification of peripapillary hyperreflective ovoid mass-like structures using swept-source optical coherence tomography.

BMC ophthalmology Mar 28, 2026

Machine learning-based risk predictive model for postoperative refractures in patients with osteoporotic vertebral compression fractures: a systematic review and critical appraisal.

BMC musculoskeletal disorders Mar 28, 2026

Knowledge, perception, and attitude of healthcare students towards artificial intelligence: a multi-center cross sectional study.

BMC medical education Mar 28, 2026

A systematic review of the use of artificial intelligence in mental health-based diabetes care: Current applications and future directions.

Diabetic medicine : a journal of the British Diabetic Association Mar 28, 2026

AIMS: To map and systematise existing research on the use of artificial intelligence (AI) in mental health-based diabetes care contexts, identify trends and potential gaps in the literature, examine methodological limitations and highlight future res... read more

Harnessing machine learning with auditory tests and demographic factors to forecast children's reading abilities in children living with and without HIV.

BioData mining Mar 28, 2026

Association between triglyceride-glucose index and related indicators with heart failure-related mortality in individuals with early-stage cardiovascular-kidney-metabolic syndrome.

Cardiovascular diabetology Mar 28, 2026

BACKGROUND: Insulin resistance is a central pathophysiological feature of cardiovascular-kidney-metabolic (CKM) syndrome and has been implicated in adverse cardiovascular outcomes. However, the association between triglyceride-glucose (TyG) index-rel... read more

Contrastive representation learning and capsule networks enable accurate identification of ferroptosis-related proteins.

Journal of cheminformatics Mar 28, 2026

Ferroptosis is a distinct iron-dependent form of regulated cell death that plays critical roles in cancer progression, neurodegenerative disorders, and immune regulation. Computational identification of ferroptosis-related proteins (FRPs) remains cha... read more

Cross-chemical and cross-species toxicity prediction: benchmarking and a novel 3D-structure-based deep learning model.

Environmental toxicology and chemistry Mar 28, 2026

Prediction of a compound's toxicity is a key step toward realizing animal-free testing of chemical compounds. Recent advances have yielded significant progress in computational toxicity prediction, including machine learning methods that utilize chem... read more

Artificial Intelligence Medical Compendium

Artificial intelligence and radiomicsadiomics on computed tomography for differentiating hepatocellular carcinoma and intrahepatic cholangiocarcinoma: a multimodal integration approach.

Prediction of in-hospital mortality risk in cardiac arrest patients using machine learning models: a study based on the MIMIC-IV database with external validation from Yunnan University Affiliated Hospital.

Automated segmentation and quantification of peripapillary hyperreflective ovoid mass-like structures using swept-source optical coherence tomography.

Machine learning-based risk predictive model for postoperative refractures in patients with osteoporotic vertebral compression fractures: a systematic review and critical appraisal.

Knowledge, perception, and attitude of healthcare students towards artificial intelligence: a multi-center cross sectional study.

A systematic review of the use of artificial intelligence in mental health-based diabetes care: Current applications and future directions.

Harnessing machine learning with auditory tests and demographic factors to forecast children's reading abilities in children living with and without HIV.

Association between triglyceride-glucose index and related indicators with heart failure-related mortality in individuals with early-stage cardiovascular-kidney-metabolic syndrome.

Contrastive representation learning and capsule networks enable accurate identification of ferroptosis-related proteins.

Cross-chemical and cross-species toxicity prediction: benchmarking and a novel 3D-structure-based deep learning model.

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