Artificial Intelligence Medical Compendium

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

Showing 21,961 to 21,970 of 216,627 articles

Quantifying ergonomic challenges for urologists operating flexible ureteroscopes through artificial intelligence-based posture estimation.

World journal of urology May 7, 2026
PURPOSE: The ergonomic challenges faced by surgeons during flexible ureteroscopy have yet to be thoroughly evaluated using objective methods. However, robot-assisted ureteroscopy has emerged as a promising treatment for urinary stones. The present st... read more 

Shared representations in brains and models reveal a two-route cortical organization during scene perception.

Communications biology May 7, 2026
The brain transforms visual inputs into cortical representations that support diverse cognitive and behavioral goals. Characterizing how this information is organized and routed across the human brain is essential for understanding how we process com... read more 

Determination of Fungiform Papilla Number Using Deep Learning Methods.

Journal of imaging informatics in medicine May 7, 2026
This study aimed to develop a deep learning-based method for the automatic detection and counting of fungiform papillae (FP) on the dorsal surface of the human tongue. FP density and morphology may serve as biomarkers for taste function and systemic ... read more 

PneumoScore: Risk Prediction Model for 90-Day Mortality After Lung Resection.

Annals of surgical oncology May 7, 2026
BACKGROUND: Lung resection is the gold-standard treatment for early stage lung cancer, but remains associated with significant mortality, highlighting the need for accurate preoperative risk prediction. This study developed a novel model to predict 9... read more 

A step-by-step guide for implementation of virtual surgical applications and patient data centralization: practical experience and lessons learned.

3D printing in medicine May 7, 2026
BACKGROUND: The expansion of digitalization in the pre-, intra- and post-operative surgical phases allow the development and integration of advanced technologies such as virtual surgical planning (VSP), additive manufacturing (AM), augmented reality ... read more 

Deep learning for automated diagnosis and differentiation of otitis media on temporal bone CT.

BMC medical imaging May 7, 2026
BACKGROUND: The accurate diagnosis of otitis media (OM) has long been a challenge for clinicians (especially for less experienced clinicians) due to the variety of types and the complex anatomical structures of the middle ear. Although deep learning ... read more 

Pediatric lung ground glass nodules: a real-world, large-scale CT cohort analysis.

BMC medical imaging May 7, 2026
BACKGROUND: Increasing detection of pediatric ground-glass nodules (GGNs) presents a clinical dilemma lacking robust evidence and guidelines. We aimed to evaluate the short-term natural course of incidental pediatric GGNs through real-world observati... read more 

Early prediction of in-hospital mortality in ICU patients with heart failure using an interpretable machine learning model: a retrospective study based on MIMIC-IV.

BMC cardiovascular disorders May 7, 2026
BACKGROUND: Heart failure (HF) remains a major cause of morbidity and mortality worldwide, and acute decompensation frequently necessitates intensive care. Early identification of high-risk patients is essential, yet traditional HF risk scores were d... read more 

Effectiveness of AI-based conversational and socially assistive agents in older adults: a systematic review and meta-analysis.

BMC geriatrics May 7, 2026
BACKGROUND: Depression and loneliness are highly prevalent among older adults, yet access to timely and adequate mental health care remains limited in this population. Artificial intelligence-based conversational and socially assistive agents have em... read more 

Integration of glymphatic system function and hippocampal radiomics for diagnosis and conversion prediction of Alzheimer's disease.

BMC medical imaging May 7, 2026
BACKGROUND: Glymphatic system (GS) function and hippocampal microstructural changes are promising imaging markers of Alzheimer's disease (AD). This study aims to investigate the effectiveness of combining diffusion tensor image analysis along the per... read more 
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