Artificial Intelligence Medical Compendium

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

Showing 29,541 to 29,550 of 219,931 articles

DRHIN: An Integrated and Interactive Web Server for Drug Repositioning.

Journal of chemical information and modeling
Drug repositioning (DR) identifies new therapeutic uses for approved drugs, reducing development burdens and offering safer treatment options for patients. While high-throughput technologies generate complex, large-scale multiomics data, existing DR ... read more 

plasmaCHORD: A Machine Learning Approach to Distinguish Clonal Hematopoiesis-Derived Variants in Liquid Biopsies from Patients with Solid Tumors.

Clinical cancer research : an official journal of the American Association for Cancer Research
PURPOSE: Targeted next-generation sequencing (NGS) of cell-free DNA (cfDNA) enables comprehensive molecular profiling and can guide the selection of genotype-targeted therapies. However, the detection of variants derived from clonal hematopoiesis (CH... read more 

A Roadmap to Transform Lung Cancer Outcomes: Priorities in Biology, Therapeutic Innovation, Early Detection, Prevention and Interception.

Cancer discovery
Advances in targeted therapies, immunotherapy, and early detection have revolutionized lung cancer treatment and extended survival. Nonetheless, lung cancer remains highly fatal. Here, we identify knowledge gaps and propose critical areas of future r... read more 

Cross-sectional validation of a preoperative multidimensional assessment tool for third molar extraction using machine learning.

Medicina oral, patologia oral y cirugia bucal
BACKGROUND: This study aimed to assess the correlation between a preoperative difficulty assessment form and surgery time in third molar extractions. Secondary aims included analyzing the relationship between the form's global score and surgical tech... read more 

Deep learning for fluorescence confocal microscopy image interpretation in radical prostatectomy.

BJU international
OBJECTIVE: To develop and validate a deep learning model for interpretation of fluorescence confocal microscopy (FCM) images for intraoperative surgical margin assessment during radical prostatectomy (RP). PATIENTS AND METHODS: Fluorescence confocal ... read more 

Adaptive dual-modality neuromodulation for chronic pain and muscle dysfunction: real-world insights from the NXTSTIMâ„¢ EcoAI digital platform.

Pain management
BACKGROUND: Chronic musculoskeletal pain is often inadequately managed with pharmacologic therapy. Although transcutaneous electrical nerve stimulation (TENS) and electrical muscle stimulation (EMS) are established noninvasive modalities, conventiona... read more 

A PSO-optimized self-supervised convolutional network for robust image watermark removal.

Scientific reports
With advancements in big data and internet technologies, images are becoming central to professional and recreational activities. While watermarks are crucial for copyright protection, their robustness against common manipulations such as compression... read more