Latest AI and machine learning research in medical education for healthcare professionals.
Water distribution networks (WDNs), a critical part of urban infrastructure, normally require numerous model simulations for effective planning and management. However, traditional WDN modelling requires complex workflows and specialized expertise. EPANET is the most widely adopted modelling tool for WDN hydraulics and water quality simulations, yet its operational complexity restricts accessibili...
The conventional composting systems face technical limitations due to the complex substrates and nonlinear biochemical dynamics, resulting in unstable efficiency. The integration of computational approaches has advanced process simulation capabilities, creating novel opportunities for system optimization and performance enhancement. This study provides a comprehensive critical analysis of simulati...
Facing declining conventional resources, the oil industry requires advanced methods to maximize recovery. Polymer flooding is a key technique, but its...
Active, student-centred teaching strategies are increasingly being adopted to bridge the gap between biomedical knowledge and clinical performance in ...
This dataset documents and classifies academic programs in data science offered by higher education institutions in the Midwestern United States prior...
BACKGROUND: The Advanced Training in Laparoscopic Suturing is a proficiency-based curriculum of 6 structured tasks. In the needle handling task, parti...
Training machine learning models on large datasets, such as those derived from single-cell RNA sequencing (scRNA-seq), poses significant challenges du...
BACKGROUND: Generative Artificial Intelligence (Gen AI) is a type of artificial intelligence that can learn from and mimic large amounts of data to cr...
BACKGROUND: Dental education is at the pinnacle of innovation and evolution. Advancements in artificial intelligence (AI) have reinforced personalized...
The training of clinicians in various specialty disciplines continues to be the focus of twenty-first century dialogue amongst medical and dental educ...
BACKGROUND: Objective Structured Clinical Examinations (OSCEs) are used as an evaluation method in medical education, but require significant pedagogi...
UNLABELLED: This research evaluated the potential mechanisms of ASX on EIMD. The network pharmacology, machine learning, and transcription sequencing ...
Over the past years, we have developed GATE version 10, a major re-implementation of the long-standing Geant4-based Monte Carlo application for partic...
Artificial intelligence (AI) is becoming increasingly prevalent in medical practice and has demonstrated sufficient clinical acumen to pass several li...
Deep clustering of single-cell RNA-seq data faces significant challenges due to extreme sparsity and noise. We present DAGCL (Dynamic Attention-enhanc...
BACKGROUND: Nurses are at the forefront of providing palliative care, playing a critical role in ensuring high-quality support for patients and their ...
PURPOSE: This study proposes the development of "Motion-DSD", an artificial intelligence-assisted workflow for digital smile design (DSD), which enabl...
In recent years, convolutional neural network (CNN)-based optical flow models for motion estimation have been applied to radio-frequency (RF) ultrasou...