Latest AI and machine learning research in surveillance for healthcare professionals.
Arachnoid cysts are cerebrospinal fluid (CSF)-filled sacs that develop within the arachnoid membrane...
The incidence of TB in Taiwan declined by 62% from 2005 to 2023 (i.e., from 73/100,000 to 28/100,000...
Background Chest pain is a leading cause of outpatient and emergency department visits; advancements...
BACKGROUND: Sjögren's Disease (SjD) is histopathologically characterized by focal sialadenitis in mi...
Purpose To develop and evaluate an automated system for extracting structured clinical information f...
RATIONALE AND OBJECTIVES: We aimed to compare the capabilities of two leading large language models ...
PURPOSE: Robotic devices for upper-limb neurorehabilitation allow an increase in intensity of practi...
Composite lymphoma (CL) is rare. We conducted an analysis of 53 329 cases of diffuse large B-cell ly...
Background Standardized bone tumor reporting is crucial for consistent, risk-aligned patient managem...
Hospital-acquired infections (HAIs) significantly burden global healthcare systems, exacerbated by a...
This document defines the key considerations for developing and reporting an artificial intelligence...
Background Limited data are available regarding the accuracy of artificial intelligence (AI) algorit...
Cardiovascular diseases remain the leading cause of global morbidity and mortality. Validated risk s...
Background Ovarian-Adnexal Reporting and Data System (O-RADS) for MRI helps assign malignancy risk, ...
The aim of this study was to devise a machine learning algorithm with superior performance in predic...
OBJECTIVE: To evaluate the methodological and reporting quality of clinical practice guidelines/expe...
Infectious diseases caused by pathogens resistant to antimicrobial treatments, defined as antimicrob...
Background Multimodal generative artificial intelligence (AI) technologies can produce preliminary r...
The test-negative design (TND), which is routinely used for monitoring seasonal flu vaccine effectiv...
BACKGROUND AND AIMS: Large registries are promising tools to study the epidemiology of inflammatory ...
Epidemic surveillance using traditional approaches is dependent on case ascertainment and is delayed...