Latest AI and machine learning research in state required cme for healthcare professionals.
This study investigated the impact of coronary CT angiography (cCTA)-derived plaque markers and mach...
Purpose To compare breast cancer detection performance of radiologists reading mammographic examinat...
Laparoscopic complete mesocolic excision (CME) for transverse colon cancer is technically challengi...
Purpose To evaluate the performance of an artificial intelligence (AI) tool using a deep learning al...
Purpose To evaluate the efficacy of deep convolutional neural networks (DCNNs) for detecting tubercu...
Purpose To demonstrate the feasibility of contrast material-enhanced ulrasonographic (US) nephrostog...
Cells internalize various molecules through clathrin-mediated endocytosis (CME). Previous live-cell ...
The 2014 i2b2/UTHealth natural language processing shared task featured a track focused on the de-id...
Recent innovations in deep learning have significantly enhanced the diagnosis of medical images, alt...
As deep learning models become fundamental to modern healthcare, the "Right to be Forgotten" mandate...
Simultaneous assessment of medical imaging and patient records is often required in clinical diagnos...
Background: Clinical research often requires reviewing large volumes of unstructured electronic medi...
Federated analysis offers a scalable approach to multi-site neuroimaging research by enabling distri...
Importance: Consumer wearables such as the Apple Watch can record single-lead electrocardiograms (EC...
Hospitals are rapidly adopting artificial intelligence for triage, imaging, scheduling etc., yet mos...
Brain tumors such as glioma, meningioma, and pituitary adenoma alter the mechanical behavior of soft...
Federated learning (FL) enables multi-institutional training on clinical text without sharing raw da...
Background. Diagnosis and risk stratification in rare hematologic malignancies such as myeloprolifer...
Introduction: Plasma metagenomic next-generation sequencing (mNGS) may detect pathogens in solid org...
Vision-based assessment can provide convenient and cost-effective evaluation in Traditional Chinese ...
Purpose: To evaluate the performance of secure cloud-based large language models (LLMs) in extractin...