Artificial Intelligence Medical Compendium

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

Showing 40,601 to 40,610 of 223,737 articles

High Risk Prostate Cancer: What is it?

The Urologic clinics of North America Mar 18, 2026
High-risk prostate cancer (HRPC) accounts for just 10% to 20% of new diagnoses yet accounts for two-thirds of prostate cancer mortality at 10 years. Traditional risk stratification using prostate-specific antigen, grade group, and stage has proven in... read more 

Hyperspectral phenotyping reveals the genetic basis of grain quality in rice.

aBIOTECH Mar 18, 2026
Rice (Oryza sativa) grain quality is an important breeding target, yet its genetic basis remains incompletely understood. In this study, we integrated hyperspectral phenotyping with genome-wide association study (GWAS) to investigate apparent amylose... read more 

Children's susceptibility to content generated by artificial intelligence.

Technology in society Mar 18, 2026
Advancements in artificial intelligence (AI) tools can make it difficult to discern what is "real". Though children are interacting with AI-generated materials through entertainment and learning applications, no published work directly considers chil... read more 

Evolution of artificial intelligence at Hospital Italiano de Buenos Aires: A retrospective review of experience and lessons learned.

International journal of medical informatics Mar 18, 2026
BACKGROUND: Hospital Italiano de Buenos Aires (HIBA) has progressively integrated artificial intelligence (AI) technologies into clinical practice over more than two decades. Describing this process may provide useful insights for healthcare institut... read more 

SEQUAL: Self-refining and effective querying active learning with pseudo label divergence score for carotid intima-media segmentation in ultrasound.

Medical image analysis Mar 18, 2026
Deep learning has achieved remarkable performance in carotid intima-media (CIM) segmentation from ultrasound images, but its clinical applicability remains limited due to data scarcity, annotation variability, and low image quality. While active lear... read more 

MOTDNet: Multi organ task decoupling network for cell segmentation.

Medical image analysis Mar 18, 2026
In histopathology, cell detection and segmentation of Hematoxylin and Eosin (H&E) stained tissue images are essential clinical tasks. Existing methods decompose cell segmentation into three tasks: nucleus shape capture, overlapping nucleus separation... read more 

Reimagining Recovery: How Extended Ambulatory Models and Patient Hotels are Changing the Outpatient Surgical Paradigm.

Anesthesiology clinics Mar 18, 2026
Ambulatory extended recovery facilities, designed for 1-night stays, provide an alternative care setting for more complex patients and procedures than those treated in same-day surgery centers. Central to these programs are structured extended recove... read more 

Machine learning supported olive oil compound profiling for assessing geographic and cultivar authenticity.

Food research international (Ottawa, Ont.) Mar 18, 2026
This study aimed at developing an integrated metabolomics and machine learning (ML) framework to identify robust chemical markers of Tuscan VOO authenticity while minimizing the confounding influence of milling. A multi-platform analytical workflow, ... read more 

Soybean grain production and nutritional quality responses under elevated CO2, high temperature, and drought.

Food research international (Ottawa, Ont.) Mar 18, 2026
Soybean (Glycine max L. Merr.) is an important global crop that supplies protein and oil for the food and feed industries. However, its yield and nutritional quality are increasingly affected by climate change. This study combines experimental data w... read more 

Quantile regression forest-based early warning of Salmonella foodborne risk using multi-source food safety surveillance data.

Food research international (Ottawa, Ont.) Mar 18, 2026
Salmonella is one of the most common foodborne pathogens worldwide, with transmission closely linked to contamination across multiple food products. Effective early warning of Salmonella risk is essential for food safety management and timely interve... read more 
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