AI Medical Compendium Topic

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Feature-Tuning Hierarchical Transformer via token communication and sample aggregation constraint for object re-identification.

Neural networks : the official journal of the International Neural Network Society
Recently, transformer-based methods have shown remarkable success in object re-identification. However, most works directly embed off-the-shelf transformer backbones for feature extraction. These methods treat all patch tokens equally, ignoring the d...

Leveraging participatory sense-making and public engagement with science for AI democratization.

Studies in history and philosophy of science
Our paper explores new potentials for productive dialogue between public engagement with science (PEWS) and radical embodied cognitive science (RECS). We establish a strong connection between the two fields by highlighting parallels between the views...

AI meets informed consent: a new era for clinical trial communication.

JNCI cancer spectrum
Clinical trials are fundamental to evidence-based medicine, providing patients with access to novel therapeutics and advancing scientific knowledge. However, patient comprehension of trial information remains a critical challenge, as registries like ...

[Patient-centered medicine in the era of artificial intelligence: what are the possible implications and risks?].

Recenti progressi in medicina
Patient-Centered Care (PCC) is currently recognized as the gold standard for the doctor-patient relationship, and numerous studies associate it with the improvement of various outcomes. However, the advent of artificial intelligence (AI) technologies...

Initial study of verbal and nonverbal communication training through the collaborative operation of a humanoid robot for individuals with autism spectrum disorder.

Asian journal of psychiatry
Individuals with autism spectrum disorder (ASD) experience difficulties in both verbal and nonverbal communication. Collaborative work allows them to use and develop their nonverbal communication abilities. Therefore, we developed a collaborative wor...

Application of the LDA model to identify topics in telemedicine conversations on the X social network.

BMC health services research
The evolution experienced by global society, in the post-COVID 19 era, is marked by the quite obligatory use of digital media in many sectors, as is the case for the health sector. Quite frequently, both patients and health professionals use social m...

Patient Perspectives on Conversational Artificial Intelligence for Atrial Fibrillation Self-Management: Qualitative Analysis.

Journal of medical Internet research
BACKGROUND: Conversational artificial intelligence (AI) allows for engaging interactions, however, its acceptability, barriers, and enablers to support patients with atrial fibrillation (AF) are unknown.

Social robots as conversational catalysts: Enhancing long-term human-human interaction at home.

Science robotics
The integration of social robots into family environments raises critical questions about their long-term influence on family interactions. This study explores the potential of social robots as conversational catalysts in human-human dyadic interacti...

Medical Misinformation in AI-Assisted Self-Diagnosis: Development of a Method (EvalPrompt) for Analyzing Large Language Models.

JMIR formative research
BACKGROUND: Rapid integration of large language models (LLMs) in health care is sparking global discussion about their potential to revolutionize health care quality and accessibility. At a time when improving health care quality and access remains a...

Bing chat for kidney stone management questions based on the AUA guidelines: a comparison of chatbot conversation style modes.

World journal of urology
PURPOSE: Artificial intelligence (AI) technology will inevitably permeate healthcare. Bing Chat is an AI chatbot with different conservation styles. We evaluated each of these response mode answers regarding management of nephrolithiasis.