Artificial Intelligence Medical Compendium

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

Showing 69,521 to 69,530 of 234,067 articles

Development of Artificial Intelligence for Quantitative Assessment of Nasal Inflammatory Cytology in Chronic Rhinitis by Whole-Slide Images.

International forum of allergy & rhinology
BACKGROUND: Chronic rhinitis (CR) is currently recognized as a syndrome that manifests in different phenotypes. We aimed to establish an artificial intelligence system (quantitative assessment of nasal inflammatory cytology, QANIC) on the basis of wh... read more 

Thermally Stabilized Hydrogenation Dynamics in Single-Atom Alloys Enables Selective CO2 Electroreduction.

Journal of the American Chemical Society
Electrochemical CO2 reduction to single-carbon products is central to sustainable fuels and chemicals, but under industrially relevant conditions elevated temperature fundamentally alters reaction behavior and the mechanistic basis for steering hydro... read more 

MKNet-family architectures for auto-segmentation of the residual pancreas after pancreatic resection: a deep learning comparative study.

Abdominal radiology (New York)
PURPOSE: Accurate interpretation of CT scans after pancreatic resection is crucial for detecting abnormalities, including postoperative complications and cancer recurrence. This study investigates the feasibility and clinical utility of a novel MKNet... read more 

Comparison of multi-organ CT image segmentation tools for whole-body [18F]FDG-PET/CT clinical imaging.

European journal of nuclear medicine and molecular imaging
UNLABELLED: Automated multi-organ segmentation looks to assist clinicians and researchers working with Positron Emission Tomography/Computed Tomography (PET/CT) imaging in streamlining the time-consuming, operator-dependent task of manual delineation... read more 

DSGCNLDA: A Multi-view Learning Model with DualScope Attention for lncRNA-Disease Association Prediction.

Interdisciplinary sciences, computational life sciences
Long non-coding RNAs (lncRNAs) play key regulatory roles in biological activities, making it crucial to accurately predict lncRNA-disease relationships for understanding disease pathophysiology and developing effective prevention and treatment strate... read more 

Artificial Intelligence in Surgery Revisited: A 2025 Guide to Understanding and Applying AI Models in Clinical Practice.

The American surgeon
Artificial intelligence (AI) and machine learning (ML) are rapidly transforming surgery, moving beyond traditional risk prediction to real-time clinical support and intraoperative assistance. However, successful integration requires clinicians to und... read more 

Diagnosis of head and neck cancer by AI-based tumor-educated platelet RNA profiling of liquid biopsies.

JCI insight
Over 95% of head and neck cancers are squamous cell carcinoma (HNSCC). HNSCC is mostly diagnosed late, causing a poor prognosis despite the application of invasive treatment protocols. Tumor-educated platelets (TEPs) have been shown to hold promise a... read more 

Machine Learning Algorithms for Predicting Injurious Fall Risk Among Older Adults With Depression: A Prognostic Modeling Study.

Pharmacotherapy
BACKGROUND: Falls and related injuries (FRI) pose a large burden among older adults with depression. Proactively identifying individuals at high FRI risk enables timely and tailored interventions, reducing unnecessary health care resource utilization... read more 

Recent advances in the management of skin and soft tissue infections.

Current opinion in infectious diseases
PURPOSE OF REVIEW: Skin and soft tissue infections (SSTIs) are one of the most frequent infections that need management either in outpatient setting or as inpatient. The present review of the literature will present recent developments in the diagnos... read more