Artificial Intelligence Medical Compendium

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

Showing 28,041 to 28,050 of 219,064 articles

Hemispheric Asymmetry of Outer Retinal Structure and Function in Retinitis Pigmentosa.

Ophthalmology science
OBJECTIVE: To investigate vertical hemispheric asymmetry of the outer retinal structure using structural and functional parameters in patients with retinitis pigmentosa (RP) and assess its association with genotype and age. DESIGN: A retrospective ob... read more 

A Datasheet for the INSIGHT Moorfields Cornea Anterior Segment Dataset (CADMUS).

Ophthalmology science
PURPOSE: To describe Cornea Anterior Segment Dataset from Moorfields via INSIGHT (CADMUS), a large multimodal anterior segment imaging dataset developed through the Eye and Oculomics Health Data Research Hub (INSIGHT) Health Data Research Hub to supp... read more 

Current evidence and future directions for prophylactic anticoagulation therapy after severe spontaneous intracerebral hemorrhage: a narrative review.

Journal of intensive medicine
Patients with spontaneous intracerebral hemorrhage (sICH) are at high risk for venous thromboembolism (VTE), a complication strongly associated with adverse clinical outcomes. While prophylactic anticoagulation has been shown to effectively reduce VT... read more 

Artificial intelligence and machine learning: an important new set of tools for clinical shoulder arthroplasty research.

JSES international
BACKGROUND: Artificial intelligence (AI) and machine learning (ML) have increasingly transformative potential in orthopedic surgery, enhancing precision, efficiency, and outcomes. We aim to raise surgeon and researcher awareness of the Transparent Re... read more 

Validating a Deep Learning Algorithm to Identify Patients with Glaucoma using Systemic Electronic Health Records

arXiv
We evaluated whether a glaucoma risk assessment (GRA) model trained on All of Us national data can identify patients at high probability of glaucoma using only systemic electronic health records (EHR) at an independent institution. In this cross-sect... read more 

Clinically Interpretable Sepsis Early Warning via LLM-Guided Simulation of Temporal Physiological Dynamics

arXiv
Timely and interpretable early warning of sepsis remains a major clinical challenge due to the complex temporal dynamics of physiological deterioration. Traditional data-driven models often provide accurate yet opaque predictions, limiting physicians... read more 

Unsupervised Learning of Inter-Object Relationships via Group Homomorphism

arXiv
While current deep learning models achieve high performance by learning statistical correlations from vast datasets,which stands in stark contrast to human learning. They lack the flexibility of humans-particularly preverbal infants-to autonomously a... read more 

Domain-Aware Hierarchical Contrastive Learning for Semi-Supervised Generalization Fault Diagnosis

arXiv
Fault diagnosis under unseen operating conditions remains highly challenging when labeled data are scarce. Semi-supervised domain generalization fault diagnosis (SSDGFD) provides a practical solution by jointly exploiting labeled and unlabeled source... read more 

Data-Driven Open-Loop Simulation for Digital-Twin Operator Decision Support in Wastewater Treatment

arXiv
Wastewater treatment plants (WWTPs) need digital-twin-style decision support tools that can simulate plant response under prescribed control plans, tolerate irregular and missing sensing, and remain informative over 12-36 h planning horizons. Meeting... read more