Artificial Intelligence Medical Compendium

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

Showing 1,091 to 1,100 of 213,401 articles

Translational gaps and clinical readiness of artificial intelligence and multimodal imaging in breast cancer diagnostics.

Discover oncology Jul 19, 2026
BACKGROUND: A persistent translational gap separates the high research-benchmark performance of artificial intelligence (AI) and advanced imaging in breast cancer from demonstrated real-world clinical utility. Most systems reporting accuracy above 95... read more 

Multi-omics and network toxicology prioritize ADAMTS13 as a candidate gene computationally linked to TDCPP targets in hepatocellular carcinoma.

Discover oncology Jul 19, 2026
BACKGROUND: Tris(1,3-dichloro-2-propyl) phosphate (TDCPP), a widely used organophosphate flame retardant, has been increasingly recognized as a potential environmental risk factor for human cancers. However, its potential association with hepatocellu... read more 

Integration of network toxicology, machine learning and single-cell sequencing identifies candidate molecular links between air pollutants and hepatocellular carcinoma.

Discover oncology Jul 19, 2026
BACKGROUND: Epidemiological studies link long-term air pollution to an increased risk of hepatocellular carcinoma (HCC), but the underlying toxicological targets remain poorly understood. We used an integrative computational framework to identify and... read more 

BeanGPT: a domain-specific retrieval-augmented generation system for Phaseolus vulgaris research.

Plant methods Jul 19, 2026
BeanGPT is a domain-specific retrieval augmented generation system designed to support research and breeding decisions in common bean (Phaseolus vulgaris L.) by transforming natural language questions into citation-backed, verifiable answers. The pla... read more 

An evidence informed framework for artificial intelligence in rare breast cancers using small cohort validation synthetic data practices and clinical governance.

Discover oncology Jul 19, 2026
Rare breast cancers represent a clinically important but underrepresented group of malignancies. In this Perspective, rare breast cancers are considered within the broader rare cancer definition of an annual incidence below 6 cases per 100,000 person... read more 

Design and Analysis of Emotion Elicitation Techniques for ECG-Based Emotion Recognition in Children with Autism Spectrum Disorder (ASD).

Applied psychophysiology and biofeedback Jul 19, 2026
Children with autism spectrum disorder (ASD) face difficulties in expressing and recognizing emotions resulting in meltdowns and aggressive situations which is strenuous for both parents and caretakers. A device that would help parents and caretakers... read more 

[Overview and conclusions of the STROKE data platform of the National Laboratory for Translational Neuroscience and the associated clinical studies].

Orvosi hetilap Jul 19, 2026
Acute ischemic and hemorrhagic stroke are among the leading causes of mortality and long-term disability worldwide. In addition to the results of randomized clinical trials, registry data reflecting real-world clinical practice play a key role in eva... read more 

Should I and Can I use AI for forensic psychiatry report writing?: A Viewpoint.

JMIR mental health Jul 19, 2026
The rapid evolution of artificial intelligence (AI), particularly large language models (LLMs), has renewed interest in their potential role in forensic psychiatry report writing. Recent evidence demonstrates that contemporary LLMs perform strongly o... read more 

Deep Learning-Based Prediction of Drug Bitterness Using Molecular Structures.

European journal of pharmaceutical sciences : official journal of the European Federation for Pharmaceutical Sciences Jul 19, 2026
Bitterness is a major cause of poor medication adherence, particularly in pediatric patients. Although several machine learning models have been developed for bitterness prediction, most rely on single-task learning and have undergone limited validat... read more 

Deep learning-enhanced zero echo time MRI for femoral cortical bone quantification: A technical validation against CT.

Magnetic resonance imaging Jul 19, 2026
This study compared quantitative measurements of femoral cortical bone between zero echo time magnetic resonance images (oZTEo) and computed tomographic (CT) images as proof-of-concept for algorithm performance in subjects referred to our clinic for ... read more 
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