AIMC Topic: Cross-Sectional Studies
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Medical Mistrust in Online Cancer Communities: A Large-Scale Analysis Across 10 Cancer Entities.
Psycho-oncology
Jun 1, 2025
BACKGROUND: Medical mistrust is a barrier to optimal cancer care. Analyzing social media posts where patients voice mistrust provides an opportunity to understand its variations and derive potential ways to address medical mistrust.
Assessing Clinician Consistency in Wound Tissue Classification and the Value of AI-Assisted Quantification: A Cross-Sectional Study.
International wound journal
Jun 1, 2025
This study investigated the relationship between clinician assessments and the AI-generated scores, highlighting how correlations vary based on clinician expertise. It also explored the proportion of tissue types identified by clinicians relative to ...
Analysis of ChatGPT-4's performance on ophthalmology questions from the MIR exam.
Archivos de la Sociedad Espanola de Oftalmologia
Jun 1, 2025
PURPOSE: To evaluate the performance of ChatGPT in solving clinical scenarios in ophthalmology, specifically questions from the specialty exams for Resident Medical Interns (MIR).
Assessing bias in AI-driven psychiatric recommendations: A comparative cross-sectional study of chatbot-classified and CANMAT 2023 guideline for adjunctive therapy in difficult-to-treat depression.
Psychiatry research
Jun 1, 2025
The integration of chatbots into psychiatry introduces a novel approach to support clinical decision-making, but biases in their recommendations pose significant concerns. This study investigates potential biases in chatbot-generated recommendations ...
Radiation oncology patients' perceptions of artificial intelligence and machine learning in cancer care: A multi-centre cross-sectional study.
Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology
Jun 1, 2025
AIM: The use of artificial intelligence (AI) and machine learning (ML) is increasingly widespread in radiation oncology. However, patient engagement to date has been poor. Respect for persons in the healthcare setting and the principle of informed co...
Automating the Addiction Behaviors Checklist for Problematic Opioid Use Identification.
JAMA psychiatry
Jun 1, 2025
IMPORTANCE: Individuals whose chronic pain is managed with opioids are at high risk of developing an opioid use disorder. Electronic health records (EHR) allow large-scale studies to identify a continuum of problematic opioid use, including opioid us...
The impact of AI-based decision support systems on nursing workflows in critical care units.
International nursing review
Jun 1, 2025
AIM: This research examines the effects of artificial intelligence (AI)-based decision support systems (DSS) on the operational processes of nurses in critical care units (CCU) located in Amman, Jordan.
Development and validation of a 3-D deep learning system for diabetic macular oedema classification on optical coherence tomography images.
BMJ open
May 31, 2025
OBJECTIVES: To develop and validate an automated diabetic macular oedema (DME) classification system based on the images from different three-dimensional optical coherence tomography (3-D OCT) devices.
Evaluating User Interactions and Adoption Patterns of Generative AI in Health Care Occupations Using Claude: Cross-Sectional Study.
Journal of medical Internet research
May 30, 2025
BACKGROUND: Generative artificial intelligence (GenAI) systems like Anthropic's Claude and OpenAI's ChatGPT are rapidly being adopted in various sectors, including health care, offering potential benefits for clinical support, administrative efficien...
Application of machine learning algorithms in osteoporosis analysis based on cardiovascular health assessed by life's essential 8: a cross-sectional study.
Journal of health, population, and nutrition
May 29, 2025
BACKGROUND: Life's Essential 8 (LE8) for assessing cardiovascular health (CVH) has been demonstrated to be inversely associated with osteoporosis (OP). This study aims to create a machine learning (ML) model to assess the clinical association value o...
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