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
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
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
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
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
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
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
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
International journal of medical informatics
Apr 7, 2026
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
Stay Ahead of Medical AI
Join thousands of healthcare professionals staying informed about the latest AI breakthroughs in medicine. Get curated insights delivered to your inbox.