Artificial Intelligence Medical Compendium

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

Showing 16,891 to 16,900 of 213,633 articles

Genital-prioritized attentional bias in lifelong premature ejaculation: behavioral evidence from eye-tracking and machine learning.

International journal of impotence research May 18, 2026
Lifelong premature ejaculation (LPE) involves altered responses to sexual cues. Neuroimaging has identified attention-related neural abnormalities in LPE, but behavioral evidence for attentional bias remains limited. Using eye tracking, we compared v... read more 

Computational approaches for multimodal lineage tracing.

Nature reviews. Genetics May 18, 2026
Understanding how cells commit to distinct fates over time is fundamental to elucidating the principles and mechanisms that govern organismal development, tissue regeneration and disease progression. Multimodal lineage tracing, which couples heritabl... read more 

Bridging the interpretability gap for medical artificial intelligence models using class-association manifold learning.

Nature biomedical engineering May 18, 2026
Explainability has increasingly become a core requirement for intelligent medical devices. Current medical artificial intelligence (AI) technologies suffer from the 'interpretability gap' despite tremendous efforts for enhancing explainability. Here ... read more 

Evaluating reasoning models for therapy recommendations in gastrointestinal stromal tumors: expert and LLM-based evaluations of OpenAI o1 and DeepSeek-R1.

Journal of cancer research and clinical oncology May 18, 2026
PURPOSE: This study aims to evaluate two advanced reasoning LLMs in generating treatment recommendations for real-world gastrointestinal stromal tumor (GIST) cases and assess their concordance with multidisciplinary team (MDT) decisions at a certifie... read more 

Supervised machine learning models for predicting sepsis-associated acute kidney injury in children: a real-world evaluation.

World journal of pediatrics : WJP May 18, 2026
BACKGROUND: Sepsis-associated acute kidney injury (S-AKI) substantially increases mortality. The recent Phoenix criteria have redefined pediatric sepsis, yet AKI risk factors under this framework remain unclear. This study aimed to develop a machine ... read more 

The body mass index of females in impressionist paintings: a contrast with modern ideals.

International journal of obesity (2005) May 18, 2026
INTRODUCTION: Beauty standards have undergone profound changes over time, with historical depictions of the female body often favoring fuller figures, while modern ideals emphasize thinness. This study explores the body mass index (BMI) of women in I... read more 

Development and validation of an explainable machine learning model for predicting surgical intervention in pediatric intestinal obstruction.

European journal of pediatrics May 18, 2026
Pediatric intestinal obstruction, a critical acute abdomen condition, carries a risk of intestinal necrosis. Decisions for urgent surgery lack standardized criteria. This study aimed to develop an explainable machine learning (ML) model to predict su... read more 

Comparing the Effectiveness of Artificial Intelligence Technology with 6th Year Dental Students for the Diagnosis of Inflammatory Bone Lesions of the Mandible in Panoramic Radiography.

Journal of imaging informatics in medicine May 18, 2026
This study aimed to evaluate the potential role of artificial intelligence (AI) as a diagnostic support tool for inexperienced clinicians by comparing its diagnostic performance and time efficiency with those of sixth-year dental students in detectin... read more 

A Fluorescence Imaging- and Deep Learning-Based Approach for Detecting Hepatitis B Virus Integration into Host Genomes.

Journal of imaging informatics in medicine May 18, 2026
Hepatitis B virus (HBV) infection can lead to hepatocellular carcinoma, and HBV integration into the host genome is regularly observed in the liver of chronic HBV carriers and is speculated to trigger carcinogenesis. To detect HBV integration, PCR-ba... read more 

A Landmark-Guided Dual-Stream Synergistic Framework for Automated Intracranial Aneurysm Detection in Magnetic Resonance Angiography.

Journal of imaging informatics in medicine May 18, 2026
Early and accurate detection of intracranial aneurysms (IAs) is critical for preventing rupture; however, manual interpretation of time-of-flight magnetic resonance angiography (TOF-MRA) scans requires time-intensive review, increasing clinician work... read more 
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