Artificial Intelligence Medical Compendium

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

Showing 45,581 to 45,590 of 224,055 articles

An interpretable breast cancer risk stratification model via multi-omics integration: multi-method development and cross-cohort validation.

Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico
BACKGROUND: Breast cancer remains a formidable global health challenge, and the absence of suitable survival guidance models persists, with most existing models suffering from methodological limitations, inadequate comparisons, and lack of external v... read more 

Capturing the Multiscale Nature of Bone Behavior: Classical, Data-Driven and Hybrid Techniques.

Annals of biomedical engineering
The complexities of bone architecture, with its hierarchical organization and varying spatiotemporal scales, necessitate advanced modeling techniques to capture its mechanical behavior precisely. This review aims to highlight recent trends in capturi... read more 

AI in Childbirth and Emerging Alternatives to Traditional Fertility Treatments.

Reproductive sciences (Thousand Oaks, Calif.)
Artificial Intelligence (AI) is revolutionizing reproductive medicine by enhancing fertility treatments, childbirth monitoring, and postnatal care. AI-driven technologies, including machine learning (ML), natural language processing (NLP), and roboti... read more 

Utilization of machine learning in diagnosis of postural tachycardia syndrome (POTS).

Clinical autonomic research : official journal of the Clinical Autonomic Research Society
PURPOSE: Postural orthostatic tachycardia syndrome (POTS) is a common autonomic disorder characterized by orthostatic intolerance and excessive tachycardia upon standing. Despite its prevalence, POTS is often underdiagnosed or diagnosed late, largely... read more 

Nano-antimicrobial peptides (Nano-AMPs) to combat resistant gram-negative bacteria.

Drug delivery and translational research
The emergence of antimicrobial resistance (AMR) poses a critical threat to public health worldwide, making conventional antibiotics ineffective against multidrug-resistant (MDR) pathogens. This literature review examines the potential therapeutic app... read more 

A Native Strategy for Integrating Deep-Learning Models for Segmentation into a Radiological Viewer.

Journal of imaging informatics in medicine
The use of deep-learning (DL) models to support and automate medical imaging diagnostic procedures has become an ongoing focus of research and development. Despite advances in the subject, the integration of such solutions into clinical diagnostic wo... read more