Artificial Intelligence Medical Compendium

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

Showing 40,331 to 40,340 of 223,737 articles

Interactive Deep Learning for Myocardial Scar Segmentation Using Cardiovascular Magnetic Resonance.

Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance Mar 19, 2026
BACKGROUND: Following myocardial infarction, late gadolinium-enhancement (LGE) assessed by cardiovascular magnetic resonance (CMR) provides a reliable metric for risk stratification and therapeutic planning. However, conventional segmentation methods... read more 

Modification strategies and multi-scene applications for plant proteins in 3D food printing: A review.

International journal of biological macromolecules Mar 19, 2026
3D printing technology reveals considerable advantages in production of personalized foods. Plant proteins have become a popular material for 3D printed foods due to their low cost, environmental friendliness and health benefits. However, plant prote... read more 

Machine learning-based reactivity evaluation of solid wastes and development of a multi-component all-solid waste cementitious material.

Environmental research Mar 19, 2026
Alkali-activated cementitious materials are recognized as promising low-carbon materials. Preparing all-solid-waste cementitious materials circumvents energy-intensive commercial alkali activators, thereby reducing carbon footprint and energy consump... read more 

Early-Stage Quality - Late-Stage Confidence: Neural Induction Quality Control as a Key to Reproducible MEA-based Neurotoxicity Assays.

Neurotoxicology Mar 19, 2026
Human induced pluripotent stem cell (hiPSC)-derived neural models combined with microelectrode array (MEA)-based readouts are increasingly used in next-generation neurotoxicity assessment. However, neural induction of hiPSCs into multipotent neural p... read more 

Atypical Ductular Reactions Are a Distinct Regenerative Phenomenon in Hepatocellular Carcinoma (HCC) Patients after Transarterial Chemoembolization.

Laboratory investigation; a journal of technical methods and pathology Mar 19, 2026
Transarterial chemoembolization (TACE) is increasingly used in patients with hepatocellular carcinoma (HCC), the most frequent primary liver tumor. Atypical ductular reactions challenge the histological diagnosis in specimens of patients after emboli... read more 

Can artificial intelligence be used to write research protocols on polymyalgia rheumatica?

Joint bone spine Mar 19, 2026
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Outcomes and Predictive Modeling in Helmet Therapy for Plagiocephaly.

The Journal of pediatrics Mar 19, 2026
OBJECTIVE: To develop and evaluate a machine learning model to forecast treatment-related changes in cranial vault asymmetry index (CVAI) and cranial index (CI) in infants undergoing cranial orthosis therapy for deformational plagiocephaly (DP) and/o... read more 

Personalized federated learning for medical vision-language models via efficient fine-tuning and uncertainty-aware disentanglement.

Journal of biomedical informatics Mar 19, 2026
Privacy concerns and data heterogeneity remain critical barriers to advancing medical AI. While federated learning (FL) offers a decentralized solution, it often suffers from the Subspace Mismatch problem in clinical settings, where non-independent a... read more 

Retrieval-augmented in-context learning for multimodal large language models in disease classification.

Journal of biomedical informatics Mar 19, 2026
OBJECTIVE: We aim to dynamically retrieve informative demonstrations, enhancing in-context learning in multimodal large language models (MLLMs) for disease classification. METHODS: We propose a Retrieval-Augmented In-Context Learning (RAICL) framewor... read more 

PlainQAFact: Retrieval-augmented factual consistency evaluation metric for biomedical plain language summarization.

Journal of biomedical informatics Mar 19, 2026
Hallucinated outputs from large language models (LLMs) pose risks in the medical domain, especially for lay audiences making health-related decisions. Existing automatic factual consistency evaluation methods, such as entailment- and question-answeri... read more 
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