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Effects of a Theory- and Evidence-Based, Motivational Interviewing-Oriented Artificial Intelligence Digital Assistant on Vaccine Attitudes: A Randomized Controlled Trial.

Journal of medical Internet research
BACKGROUND: Attitude-targeted interventions are important approaches for promoting vaccination. Educational approaches alone cannot effectively cultivate positive vaccine attitudes. Artificial intelligence (AI)-driven chatbots and motivational interv...

Effectiveness and Cost-Effectiveness of Using a Social Robot in Residential Care for Individuals With Challenges in Daily Structure and Planning: Protocol for a Multiple-Baseline Single Case Trial and Health Economic Evaluation.

JMIR research protocols
BACKGROUND: A substantial number of individuals in disability care experience challenges with daily structure and planning and require 24-7 support. The use of a social robot might decrease their need for support from care professionals, leading to i...

Attitudes, Perceptions, and Factors Influencing the Adoption of AI in Health Care Among Medical Staff: Nationwide Cross-Sectional Survey Study.

Journal of medical Internet research
BACKGROUND: Artificial intelligence (AI) has demonstrated transformative potential in the health care field; yet, its clinical adoption faces challenges such as inaccuracy, bias, and data privacy concerns. As the primary operators of AI systems, phys...

MRI-based radiomics for preoperative T-staging of rectal cancer: a retrospective analysis.

International journal of colorectal disease
PUROPOSE: Preoperative T-staging in rectal cancer is essential for treatment planning, yet conventional MRI shows limited accuracy (~ 60-78). Our study investigates whether radiomic analysis of high-resolution T2-weighted MRI can non-invasively impro...

Human multiethnic radiogenomics reveals low-abundancy microRNA signature in plasma-derived extracellular vesicles for early diagnosis and molecular subtyping of pancreatic cancer.

eLife
Pancreatic cancer (PC) is a highly aggressive malignancy in humans, where early diagnosis significantly improves patient outcomes. However, effective methods for accurate and early detection remain limited. In this multiethnic study involving human s...

Liver MRI proton density fat fraction inference from contrast enhanced CT images using deep learning: A proof-of-concept study.

PloS one
Metabolic dysfunction-associated steatotic liver disease (MASLD) is the most common cause of chronic liver disease worldwide, affecting over 30% of the global general population. Its progressive nature and association with other chronic diseases make...

Unveiling the diagnostic and causal role of hyperlipidemia- and lipophagy-associated genes PLAUR, IVNS1ABP, and QKI in acute myocardial infarction.

International journal of cardiology
BACKGROUND: Hyperlipidemia (HLP) exacerbates myocardial cell injury by impairing lipophagy, a crucial lipid metabolic process, thereby increasing the risk of acute myocardial infarction (AMI). This study aims to identify biomarkers associated with HL...

Gastrointestinal bleeding detection on digital subtraction angiography using convolutional neural networks with and without temporal information.

Diagnostic and interventional radiology (Ankara, Turkey)
PURPOSE: Digital subtraction angiography (DSA) offers a real-time approach to locating lower gastrointestinal (GI) bleeding. However, many sources of bleeding are not easily visible on angiograms. This investigation aims to develop a machine learning...

Childhood trauma and adolescent anxiety: Uncovering emotion regulation pathways through integrated machine learning and traditional statistics.

Psychiatry research
Childhood trauma constitutes a significant risk factor for adolescent anxiety, with emotion regulation playing a critical role. This large-scale longitudinal study (N = 2461 at baseline, with external validation) examined differential relationships b...