Latest AI and machine learning research in surveys for healthcare professionals.
This study evaluated stakeholder perceptions, implementation barriers, and innovation readiness in e...
BACKGROUND: Generative artificial intelligence (GenAI) has increasingly entered psychiatric practice...
BACKGROUND AND AIMS: Online gambling operators collect detailed behavioural data that can identify c...
BACKGROUND: Artificial intelligence (AI) detection tools for intracranial hemorrhage (ICH) are incre...
As artificial intelligence (AI) technology expands into decision-making domains such as recruitment,...
OBJECTIVES: To evaluate the accuracy of an artificial intelligence (AI) model developed by DentalMon...
INTRODUCTION: Artificial intelligence is gaining significant traction, particularly in the orthopedi...
Timely fault detection is essential for safety, product quality, and energy efficiency in advanced i...
BACKGROUND: Accurate surgical case duration estimation (CDE) is critical for operating room efficien...
BACKGROUND: Pharmacology education faces challenges in developing higher-order thinking, especially ...
BACKGROUND: Empirical evidence on how employees across different service domains within a single mul...
Recent advancements in blood-brain barrier permeability (BBBP) prediction of drug compounds have hig...
Artificial intelligence (AI) chatbots are increasingly used to support diabetes self-management, yet...
BACKGROUND: Urine cytology is a noninvasive and valuable tool for detecting urothelial carcinoma but...
Gaussian mixture regression (GMR) and direct inverse analysis (DIA) are powerful tools for molecular...
BACKGROUND: Chemotherapy-related toxicities often lead to unscheduled health care use and diminished...
The presence of active pharmaceutical ingredients (APIs) in aquatic environments calls for greater a...
OBJECTIVES: The increasing use of machine learning (ML) in clinical care makes fairness a central is...
We evaluate the performance of targeted maximum likelihood estimation (TMLE) for estimating the aver...
This methodological study aimed to develop a reliable and valid scale to measure nursing students' a...
PURPOSE: This study explored large language models (LLMs) as a scalable solution to the global short...