AIMC Topic: Surveys and Questionnaires
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Machine learning identifies different related factors associated with depression and suicidal ideation in Chinese children and adolescents.
Journal of affective disorders
Jun 4, 2024
BACKGROUND: Depression and suicidal ideation often co-occur in children and adolescents, yet they possess distinct characteristics. This study sought to identify the different related factors associated with depression and suicidal ideation.
Reliability of artificial intelligence chatbot responses to frequently asked questions in breast surgical oncology.
Journal of surgical oncology
Jun 4, 2024
INTRODUCTION: Artificial intelligence (AI)-driven chatbots, capable of simulating human-like conversations, are becoming more prevalent in healthcare. While this technology offers potential benefits in patient engagement and information accessibility...
Effect of Ambient Voice Technology, Natural Language Processing, and Artificial Intelligence on the Patient-Physician Relationship.
Applied clinical informatics
Jun 4, 2024
BACKGROUND:  The method of documentation during a clinical encounter may affect the patient-physician relationship.
Assessment of Saudi Public Perceptions and Opinions towards Artificial Intelligence in Health Care.
Medicina (Kaunas, Lithuania)
Jun 4, 2024
The healthcare system in Saudi Arabia is growing rapidly with the utilization of advanced technologies. Therefore, this study aimed to assess the Saudi public perceptions and opinions towards artificial intelligence (AI) in health care. This cross-...
Evaluation of the Clinical Efficacy and Trust in AI-Assisted Embryo Ranking: Survey-Based Prospective Study.
Journal of medical Internet research
Jun 3, 2024
BACKGROUND: Current embryo assessment methods for in vitro fertilization depend on subjective morphological assessments. Recently, artificial intelligence (AI) has emerged as a promising tool for embryo assessment; however, its clinical efficacy and ...
Prognostic subgroups of chronic pain patients using latent variable mixture modeling within a supervised machine learning framework.
Scientific reports
May 31, 2024
The present study combined a supervised machine learning framework with an unsupervised method, finite mixture modeling, to identify prognostically meaningful subgroups of diverse chronic pain patients undergoing interdisciplinary treatment. Question...
Evaluating the quality of home care in community health service centres: A machine learning approach.
Journal of advanced nursing
May 29, 2024
AIMS: The aim of the study is to develop a model using a machine learning approach that can effectively identify the quality of home care in communities.
The Effect of Artificial Intelligence on Patient-Physician Trust: Cross-Sectional Vignette Study.
Journal of medical Internet research
May 28, 2024
BACKGROUND: Clinical decision support systems (CDSSs) based on routine care data, using artificial intelligence (AI), are increasingly being developed. Previous studies focused largely on the technical aspects of using AI, but the acceptability of th...
Knowledge, attitudes and practices of using Indocyanine Green (ICG) fluorescence in emergency surgery: an international web-based survey in the ARtificial Intelligence in Emergency and trauma Surgery (ARIES)-WSES project.
Updates in surgery
May 27, 2024
Fluorescence imaging is a real-time intraoperative navigation modality to enhance surgical vision and it can guide emergency surgeons while performing difficult, high-risk surgical procedures. The aim of this study is to assess current knowledge, att...
The potential use of artificial intelligence for venous thromboembolism prophylaxis and management: clinician and healthcare informatician perspectives.
Scientific reports
May 26, 2024
Venous thromboembolism (VTE) is the leading cause of preventable death in hospitalized patients. Artificial intelligence (AI) and machine learning (ML) can support guidelines recommending an individualized approach to risk assessment and prophylaxis....
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