Artificial Intelligence Medical Compendium

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

Showing 46,301 to 46,310 of 224,055 articles

Geography and admixture shape the genome-scale phylogeny of North American Delphinium.

The New phytologist Feb 27, 2026
The genus Delphinium exemplifies the complexity of plant diversification in mountainous regions, where rapid speciation, hybridization, and morphological convergence frequently obscure species boundaries. The North American lineage Delphinium sect. D... read more 

Shaping the Future of Radiography Education: Lessons From ChatGPT and Generative AI.

Journal of medical radiation sciences Feb 27, 2026
Generative artificial intelligence (AI), particularly large language models such as ChatGPT, is increasingly influencing learning and continuing professional development (CPD) across health professions. The radiography discipline is well positioned t... read more 

Editorial for "Analysis of Upper Airway Morphology Using Four-Dimensional Dynamic MRI With Active Deep Learning-Based Automatic Segmentation".

Journal of magnetic resonance imaging : JMRI Feb 27, 2026
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Privileged structure-based molecular fingerprints for organic electronic materials: towards intuitive machine learning interpretation.

Journal of cheminformatics Feb 27, 2026
Molecular descriptors are central to the performance and interpretability of QSPR models, yet most existing fingerprints for organic electronics lack chemical relevance or interpretability. Here, we present the Organic Electronic Fingerprint (OEFP), ... read more 

Graph-based transformer to predict the octanol-water partition coefficient.

Journal of cheminformatics Feb 27, 2026
Lipophilicity is a fundamental physicochemical property that significantly influences various aspects of drug behavior, such as solubility, permeability, metabolism, distribution, protein binding, and excretion. Consequently, accurate prediction of t... read more 

Incisional hernia prediction using machine learning models.

BMC medical informatics and decision making Feb 27, 2026
BACKGROUND: One of the main complications after laparotomy is incisional hernia (IH), with an incidence of 40% in specific risk groups. There is no consensus on determining which patients are at low or high Risk. There is no currently full peer-revie... read more 

Hand movements prediction via fNIRS and AI algorithms.

BMC medical informatics and decision making Feb 27, 2026
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Construction and comparison of preeclampsia prediction models using logistic regression and machine learning.

BMC medical informatics and decision making Feb 27, 2026
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Evaluating the external validity of an artificial intelligence-based mobile support app for caregiving relatives by an online expert survey.

BMC medical informatics and decision making Feb 27, 2026
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Development and validation of an interpretable machine learning model for postoperative radiotherapy decision-making in ypN0 breast cancer after neoadjuvant chemotherapy: a real-world study.

BMC medical informatics and decision making Feb 27, 2026
OBJECTIVE: The subset of breast cancer patients with pathologic node-negative status (ypN0) after neoadjuvant chemotherapy (NAC) who benefit from postoperative radiotherapy (PORT) through a reduced risk of recurrence remains poorly defined. This stud... read more 
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