AIMC Topic: Surveys and Questionnaires
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Chatbots in Limb Lengthening and Reconstruction Surgery: How Accurate Are the Responses?
Journal of pediatric orthopedics
Sep 20, 2024
BACKGROUND: Artificial intelligence-based language model chatbots are being increasingly used as a quick reference for healthcare related information. In pediatric orthopaedics, studies have shown that a significant percentage of parents use online s...
Does using artificial intelligence take the person out of personal statements? We can't tell.
Surgery
Sep 19, 2024
BACKGROUND: Use of artificial intelligence to generate personal statements for residency is currently not permitted but is difficult to monitor. This study sought to evaluate the ability of surgical residency application reviewers to identify artific...
Surface and deep learning: a blended learning approach in preclinical years of medical school.
BMC medical education
Sep 19, 2024
BACKGROUND: Significant challenges are arising around how to best enable peer communities, broaden educational reach, and innovate in pedagogy. While digital education can address these challenges, digital elements alone do not guarantee effective le...
Patient Perspectives on AI for Mental Health Care: Cross-Sectional Survey Study.
JMIR mental health
Sep 18, 2024
BACKGROUND: The application of artificial intelligence (AI) to health and health care is rapidly increasing. Several studies have assessed the attitudes of health professionals, but far fewer studies have explored the perspectives of patients or the ...
Large Language Model Use in Radiology Residency Applications: Unwelcomed but Inevitable.
Journal of the American College of Radiology : JACR
Sep 17, 2024
OBJECTIVE: This study explores radiology program directors' perspectives on the impact of large language model (LLM) use among residency applicants to craft personal statements.
[Development and validation of a tool for the systematic identification of social vulnerabilities in cancer patients: the DEFCO tool].
Bulletin du cancer
Sep 17, 2024
INTRODUCTION: Literature suggests that patients from deprived backgrounds are less likely to adhere to their treatments, continue to expose themselves to risk factors and, as a result, have poorer health outcomes. It is therefore crucial to identify ...
Generative artificial intelligence in primary care: an online survey of UK general practitioners.
BMJ health & care informatics
Sep 17, 2024
OBJECTIVES: Following the launch of ChatGPT in November 2022, interest in large language model-powered chatbots has soared with increasing focus on the clinical potential of these tools. We sought to measure general practitioners' (GPs) current use o...
Machine learning-based discrimination of unipolar depression and bipolar disorder with streamlined shortlist in adolescents of different ages.
Computers in biology and medicine
Sep 16, 2024
BACKGROUND: Variations in symptoms and indistinguishable depression episodes of unipolar depression (UD) and bipolar disorder (BD) make the discrimination difficult and time-consuming. For adolescents with high disease prevalence, an efficient diagno...
AI implementation: Radiologists' perspectives on AI-enabled opportunistic CT screening.
Clinical imaging
Sep 10, 2024
OBJECTIVE: AI adoption requires perceived value by end-users. AI-enabled opportunistic CT screening (OS) detects incidental clinically meaningful imaging risk markers on CT for potential preventative health benefit. This investigation assesses radiol...
Sentiment of Nurses Towards Artificial Intelligence and Resistance to Change in Healthcare Organisations: A Mixed-Method Study.
Journal of advanced nursing
Sep 5, 2024
BACKGROUND: Research identified preliminary evidence that artificial intelligence (AI) has emerged as a transformative force in healthcare, revolutionising various aspects of healthcare delivery, from diagnostics to treatment planning. However, integ...
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