AIMC Topic: Attitude of Health Personnel
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The use of robotic upper limb therapy in routine clinical practice for stroke survivors: Insights from Australian therapists.
Australian occupational therapy journal
Apr 1, 2025
INTRODUCTION: There is a limited understanding of therapist acceptance and use of robot-assisted upper limb therapy (RT-ULT) in routine practice. The aim of this study was to explore the factors that influence Australian therapist acceptance and use ...
The relationship between nursing students' attitudes toward artificial intelligence and their creative personality traits.
International nursing review
Mar 1, 2025
AIM: The relationship between nursing students' attitudes toward artificial intelligence and their creative personality traits was examined in this study.
Unveiling the Attitudes of Medical Faculty Towards the Integration of Artificial Intelligence in Medical Education.
Journal of the College of Physicians and Surgeons--Pakistan : JCPSP
Mar 1, 2025
OBJECTIVE: To explore the attitude of faculty members towards integration of artificial intelligence (AI) and to accelerate the appropriate adaptation of AI tools in medical education.
Multidisciplinary clinician perceptions on utility of a machine learning tool (ALERT) to predict 6-month mortality and improve end-of-life outcomes for advanced cancer patients.
Cancer medicine
Mar 1, 2025
BACKGROUND: There are significant disparities in outcomes at the end-of-life (EOL) for minoritized patients with advanced cancer, with most dying without a documented serious illness conversation (SIC). This study aims to assess clinician perceptions...
Ambient artificial intelligence scribes: physician burnout and perspectives on usability and documentation burden.
Journal of the American Medical Informatics Association : JAMIA
Feb 1, 2025
OBJECTIVE: This study evaluates the pilot implementation of ambient AI scribe technology to assess physician perspectives on usability and the impact on physician burden and burnout.
Acceptance of Using Artificial Intelligence and Digital Technology for Mental Health Interventions: The Development and Initial Validation of the UTAUT-AI-DMHI.
Clinical psychology & psychotherapy
Jan 1, 2025
Digital health technologies are being increasingly integrated into mental healthcare. This means that patients have different treatment options, and clinicians need to consider different ways of supporting their patients too. The adoption of Digital ...
Machine learning-based prediction models in medical decision-making in kidney disease: patient, caregiver, and clinician perspectives on trust and appropriate use.
Journal of the American Medical Informatics Association : JAMIA
Jan 1, 2025
OBJECTIVES: This study aims to improve the ethical use of machine learning (ML)-based clinical prediction models (CPMs) in shared decision-making for patients with kidney failure on dialysis. We explore factors that inform acceptability, interpretabi...
Healthcare Professionals' Views on the Use of Passive Sensing and Machine Learning Approaches in Secondary Mental Healthcare: A Qualitative Study.
Health expectations : an international journal of public participation in health care and health policy
Dec 1, 2024
INTRODUCTION: Globally, many people experience mental health difficulties, and the current workforce capacity is insufficient to meet this demand, with growth not keeping pace with need. Digital devices that passively collect data and utilise machine...
Physician Opinions on Artificial Intelligence Chatbots In Dermatology: A National Online Cross-Sectional Survey of Dermatologists.
Journal of drugs in dermatology : JDD
Nov 1, 2024
BACKGROUND: Artificial intelligence chatbots (AIC) have sharply risen in popularity. Dermatology, heavily involving visual, clinical, and pathological pattern-recognition techniques, will be impacted by AIC. Thus, this study aims to categorize the at...
Application of Artificial Intelligence in Clinical Practice - Perception of a Multinational Group of Nephrologists.
Studies in health technology and informatics
Aug 22, 2024
This study investigates the perception of a multinational group of nephrologists on artificial intelligence (AI) application in clinical practice. A validated on-line survey was performed in March 2024, in 4 continents. The results revealed a prevale...
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