Latest AI and machine learning research in surveys for healthcare professionals.
This study evaluated the performance of the Wesper Lab home sleep apnea test (HSAT) artificial intelligence (AI) automated scoring algorithm under both in-laboratory and real-world conditions. We conducted a multi-tiered validation using two datasets and three analyses. The primary analysis compared apnea-hypopnea index (AHI) and central apnea index (CAI) from Wesper Lab HSATs with simultaneous po...
This study intends to identify the critical factors that shape college students' adoption of AI-generated news, with a specific focus on integrating Big Data methodologies into the Technology Acceptance Model (TAM) framework. Building on TAM, the research incorporates "trust" as a core variable to develop a dual-path theoretical model that combines technological cognition (e.g., perceived usefulne...
BACKGROUND: Despite the growing number of artificial intelligence (AI)-based applications used in radiology, no structured framework exists to assess ...
Mobile robots are increasingly playing a pivotal role in various fields, including environmental monitoring and search-and-rescue tasks. The ultimate ...
BACKGROUND AND PURPOSE: Recent studies have demonstrated bias in various medical imaging artificial intelligence (AI) models, yet the factors underpin...
Understanding perception and communication gaps between patients with neurological diseases and their treating physicians is essential for optimizing ...
PURPOSE: To design and develop an AI-based plastic surgery recommendation system using 3D photographs and psychological questionnaire surveys, aiming ...
BACKGROUND: Access to provincial health-related data for multi-jurisdictional studies in Canada is restricted by privacy laws. Synthetic data (SD), wh...
BACKGROUND: Early identification of disability risk in community-dwelling older adults has emerged as a critical public health priority. An increasing...
AIMS: To explore undergraduate dental students' AI knowledge, perceptions, and concerns, and to identify their educational needs based on these findin...
This study explores clinician leaders understanding and perception at site level towards machine learning (ML) decision support tools for paediatric r...
INTRODUCTION: Patients increasingly use generative artificial intelligence assistants (chatbots) for medical information. We examined surgeon-perceive...
Marine Pollution Bulletin increasingly applies machine learning and explainable AI to pollutant and shellfish poisoning risk, exemplified by PCA-based...
PURPOSE: The purpose of this study was to investigate the psychometric properties of a 2-dimensional artificial intelligence (AI) camera software appl...
Recent advancements in artificial intelligence (AI) have revolutionized the field of 3D molecule generation. However, the lack of effective evaluation...
Rising patient volumes, the increasing use of computed tomography (CT) imaging in emergency departments and the resulting prolonged waiting times high...
BACKGROUND: Delays in dental care worsen oral disease and mirror broader inequities in health care access and use. OBJECTIVE: To estimate the 12-month...
BACKGROUND: The integration of large language models (LLMs) such as ChatGPT into radiology has introduced new possibilities for structured reporting. ...
Depression (DEP) is a common yet underdiagnosed comorbidity in adults with type 2 diabetes mellitus (T2DM), worsening glycemic control and increasing ...
PURPOSE: Artificial intelligence (AI) is transforming modern dentistry, particularly in prosthodontics. However, evidence regarding AI integration amo...