Generative AI and Medical Misinformation: Medical Specialist Numbers and Information Obscurity Have Impact
Differences in LLM susceptibility to medical misinformation against physician count and search-obscurity metrics.
Generative Artificial Intelligence Models Are Not Equivalent: A Comparative Evaluation of Medical Misinformation Susceptibility
Susceptibility differences across models, compared between medical specialties.
Evaluation of Artificial Intelligence Misinformation Response: A Medicine / Cardiovascular Risk
Susceptibility of various LLMs to persistent medical misinformation, emphasising cardiovascular claims.
Comparative Analysis of Large Language Models' Susceptibility to Medical Misinformation: Evaluating Accuracy and Reliability Across Multiple AI Platforms
Cross-platform comparison of how models handle persistent misinformation.
Digital Hoodwinking: The Effect of Increasing Argumentation Intensity on Persuasion Susceptibility of AI Large Language Models
Susceptibility to persuasion as argumentation intensity increases.
The Motion Envelope: A New Digital Biomarker for Assessing the Range of Human Motion Using Wearable Sensors
A novel digital biomarker for quantitative mobility assessment, for monitoring disease progression and therapy effects.
The Reliability of AI Large Language Models to Affirm Truth in Information: Susceptibility to Misinformation with Repetitive Engagement
The impact of repeated misinformation on ChatGPT 3.5, and the case for robust safeguards.
Comparative Analysis of On-Body and Around-Body Motion Detection for Quantitation of Movement Abnormalities Across Excursion Length Ranges with Applicability to Renal Disease
Efficacy of two motion detection methods across excursion ranges, guiding system selection.
Python Computational Methods Advance Video Motion Capture for Telehealth and In-Person Diagnostic Accuracy for Advanced Renal Patients
MOCA 2.0, a Python motion capture system for chronic kidney disease patients, in clinical use at the College of Medicine.
Quality not Quantity: Development and Use of a Novel AI Tool to Determine Biomedical Publication Trustworthiness, Impact and Value
An AI tool for judging the trustworthiness, impact, and value of biomedical publications beyond citation counts and journal-level metrics.