Artificial Intelligence Medical Compendium

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

Showing 821 to 830 of 213,137 articles

Artificial intelligence-based model for identifying anatomical and surgical structures in the videos of laparoscopic left hemicolectomy.

Journal of robotic surgery Jul 20, 2026
BACKGROUND: Precise surgical procedures are critical to improving the survival outcomes for colon cancer patients. Currently, there is no dedicated intraoperative navigation system available for performing precise surgery. OBJECTIVE: We aimed to inno... read more 

Explainable machine learning for automated robotic surgical skill assessment using rich kinematic features.

Journal of robotic surgery Jul 20, 2026
Robotic-assisted surgery (RAS) extends minimally invasive surgery by restoring dexterity, tremor filtration, and ergonomic console control compared with open procedures and conventional laparoscopy. Objective, scalable skill assessment from console k... read more 

Mapping the global landscape of robot-assisted hernia surgery research: a bibliometric analysis.

Journal of robotic surgery Jul 20, 2026
To characterize the worldwide body of literature on robot-assisted hernia surgery through bibliometric and scientometric approaches, and to clarify its publication trajectory, influential contributors, collaborative structure, and evolving research p... read more 

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 
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