Artificial Intelligence Medical Compendium

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

Showing 36,401 to 36,410 of 223,137 articles

The water footprint of artificial intelligence: Emerging solutions and governance imperatives.

Water research
Artificial intelligence (AI) is increasingly run on high-density computing infrastructure, yet its environmental footprint is still assessed mainly through electricity use and associated greenhouse-gas emissions. A critical, less visible dimension is... read more 

Construction of an interpretable multimodal image model for differentiating T1-stage nasopharyngeal carcinoma from benign hyperplasia.

European journal of radiology
BACKGROUND AND OBJECTIVE: Differentiating T1-stage nasopharyngeal carcinoma (NPC) from benign hyperplasia (BH) is challenging. This study aims to construct and validate a multimodal model combining magnetic resonance imaging (MRI) and endoscopy to di... read more 

The Role of Machine Learning and Artificial Intelligence in Drug Discovery and Clinical Care of Pulmonary Hypertension.

Heart failure clinics
Pulmonary hypertension (PH) is a severe and oftentimes fatal disease with a high degree of clinical variability. Its complexity necessitates a multifaceted approach, with clinical and prognostic results significantly improved with earlier identificat... read more 

Application of New Technologies: Patient-specific Instrumentation and Artificial Intelligence in the Field of Foot and Ankle.

The Orthopedic clinics of North America
New technologies and artificial intelligence are a huge area for growth in the field of foot and ankle. New technologies in the foot and ankle specialty are growing, but most studies and practice applications are in their infancy. Patient-specific in... read more 

Density-dependent regulation of water use strategies in a desert plantation: stable isotope evidence from the Kubuqi Desert during the growing season.

Water research
Understanding how planting density regulates water-use strategies is crucial for sustainable afforestation in arid regions. In the Kubuqi Desert, stable isotope (δ²H, δ¹⁸O) analysis, Bayesian mixing models (MixSIAR), and machine learning were integra... read more 

Real-world text-only inference of PI-RADS v2.1 from prostate MRI reports using large language models: a lesion-level, zone-aware study.

European journal of radiology
PURPOSE: To evaluate the feasibility and limitations of real-world, text-only inference of PI-RADS v2.1 categories from prostate MRI reports using large language models, with lesion-level and zone-aware analysis. MATERIALS AND METHODS: This single-ce... read more 

Benchmarking text encoding strategies in multimodal clinical data for surgical case duration prediction.

International journal of medical informatics
BACKGROUND: Operating rooms (ORs) are highly resource-intensive, yet surgical case duration is often estimated using heuristics that are prone to errors. While machine learning models based on structured perioperative data improve accuracy, unstructu... read more 

Biochemical biomarker-Driven deep learning framework with SHAP-based feature interpretation for diabetes classification.

Biophysical chemistry
Diabetes mellitus is a long-term metabolic condition that develops when the body cannot produce insulin effectively or use it properly. Individuals usually progress through a clinical spectrum that begins with normal glucose regulation, moves into a ... read more 

Clinical applications of EEG connectivity in acute brain injuries: A systematic review.

Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology
OBJECTIVE: While connectivity methods have been widely studied as predictors of recovery in chronic disorders of consciousness (DoC), evidence for EEG-based connectivity measures in the acute phase of acute brain injuries (ABI) is limited. This study... read more 

A minimalist and robust diagnostic model for neonatal biliary atresia: Harnessing MMP-7 and machine learning in a time-critical setting.

Journal of pediatric surgery
BACKGROUND: Early diagnosis is the most critical determinant of native liver survival in infants with biliary atresia (BA). Accurate differentiation of BA from other neonatal cholestatic disorders remains particularly challenging within the first 28 ... read more