Artificial Intelligence Medical Compendium

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

Showing 33,951 to 33,960 of 221,510 articles

On the Utility of Foundation Models for Fast MRI: Vision-Language-Guided Image Reconstruction.

Magnetic resonance in medicine
PURPOSE: To investigate whether a vision-language foundation model can enhance undersampled MRI reconstruction by providing high-level contextual information beyond conventional priors. THEORY AND METHODS: We proposed a semantic distribution-guided r... read more 

Neural Network Machine Learning for Determining Surgical Appropriateness in Head and Neck Subspecialty Referrals.

Ear, nose, & throat journal
OBJECTIVE: Timely, accurate referrals to head and neck cancer surgery are essential for survival but are often delayed or misrouted, contributing to late-stage presentation and disparities. We aim to develop and validate a supervised neural network t... read more 

SRMMP-CharQM, Physics-Informed Deep Learning for Toxicity Prediction: Quantum Mechanical Descriptors Enable Scaffold Hopping in Mitochondrial Membrane Potential Assays.

The journal of physical chemistry. B
Disruption of mitochondrial membrane potential (SR-MMP, Stress Response─Mitochondrial Membrane Potential) is a critical toxicity end point in early drug safety assessment. However, traditional prediction models based on molecular topology or sequence... read more 

A Gamified Pain Management Intervention for Adults With Chronic Pain in Mainland China: Single-Arm Pre-Post Pilot Study With Machine Learning Predictive Modeling.

JMIR formative research
BACKGROUND: The widespread prevalence of chronic pain (CP) significantly impacts daily functioning worldwide. In mainland China, maintaining engagement in biopsychosocial interventions remains challenging. Gamification, designed based on self-determi... read more 

Predicting Longitudinal Caries Trajectories from Childhood to Early Adulthood.

Journal of dental research
Prior studies have used traditional trajectory analyses to classify caries progression; however, none have applied machine learning (ML) to predict caries trajectories from childhood to early adulthood. The aims of our study are 1) to use unsupervise... read more 

Data-Driven Tooth Selection Enhances Partial-Mouth Periodontal Screening.

Journal of dental research
The high prevalence of periodontitis has imposed a significant global disease burden. Epidemiologic surveys rely on full-mouth periodontal examination (FMPE) or partial-mouth periodontal examination (PMPE). While FMPE is resource-intensive, the effic... read more 

Feasibility study of ultrasound-guided, power-assisted needle insertion for hemodialysis cannulation using an innovative, handheld device.

The journal of vascular access
BACKGROUND: Vascular access (VA) for hemodialysis is achieved through arteriovenous fistulas (AVF), arteriovenous grafts (AVG), or central venous access devices (CVAD). Hemodialysis remains the most common modality of kidney replacement therapy, and ... read more 

Artificial Intelligence Systems.

Journal of the American Dental Association (1939)
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An explainable machine learning model for accurate estimation of residual phthalate esters in Chinese agricultural soils.

Journal of hazardous materials
Accurate estimation of diffuse chemical pollution in agricultural soils remains a persistent challenge, particularly for phthalate esters (PAEs), where traditional linear mechanistic models often show biases of 1-2 orders of magnitude. An explainable... read more 

Bias, fairness, and equity in artificial intelligence systems used in dental imaging: A systematic review.

International journal of medical informatics
BACKGROUND: Artificial intelligence (AI) is increasingly used in dental imaging for automated interpretation of dental images and as a clinical decision-support system. Although reported diagnostic accuracies are high, limited attention has been paid... read more