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Communication

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MedBot vs RealDoc: efficacy of large language modeling in physician-patient communication for rare diseases.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVES: This study assesses the abilities of 2 large language models (LLMs), GPT-4 and BioMistral 7B, in responding to patient queries, particularly concerning rare diseases, and compares their performance with that of physicians.

[Digital innovations in vaccination communication].

Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz
Despite the significant success of vaccinations, increasing vaccine hesitancy poses a threat to public health, making effective vaccination communication essential. Both personalized, needs-based conversations between healthcare providers and patient...

Leveraging artificial intelligence-mediated communication for cancer prevention and control and drug addiction: A systematic review.

Translational behavioral medicine
OBJECTIVE: To conduct a systematic review on Artificial Intelligence-Mediated Communication (AIMC) behavioral interventions in cancer prevention/control and substance use.

The effect of empathy on remote social connections via paired robots.

PloS one
A range of devices and technologies are available to mediate social connections between geographically distant people. Some of these methods exploit awareness information to enhance the connectedness of distant users. However, the effect of user trai...

The radiologist as an independent "third party" to the patient and clinicians in the era of generative AI.

La Radiologia medica
Radiologists are crucial in the diagnostic workflow. They must maintain an independent perspective, being a "third party" to the patients and referral clinicians. This is important when documenting the absence of relevant abnormalities or providing i...

Predicting social anxiety disorder based on communication logs and social network data from a massively multiplayer online game: Using a graph neural network.

Psychiatry and clinical neurosciences
AIM: Social anxiety disorder (SAD) is a mental disorder that requires early detection and treatment. However, some individuals with SAD avoid face-to-face evaluations, which leads to delayed detection. We aim to predict individuals with SAD based on ...

Generative Artificial Intelligence and Misinformation Acceptance: An Experimental Test of the Effect of Forewarning About Artificial Intelligence Hallucination.

Cyberpsychology, behavior and social networking
Generative artificial intelligence (AI) tools could create statements that are seemingly plausible but factually incorrect. This is referred to as AI hallucination, which can contribute to the generation and dissemination of misinformation. Thus, the...

Digital Twinning of Interorgan Communications.

Comprehensive Physiology
Recent advances in our ability to collect and process information, particularly through artificial intelligence, opens up some exciting possibilities for understanding interorgan communication and treating conditions that arise from that communicatio...

Fast finite-time quantized control of multi-layer networks and its applications in secure communication.

Neural networks : the official journal of the International Neural Network Society
This paper introduces a quantized controller to address the challenge of fast finite-time synchronization of multi-layer networks, where each layer represents a distinct type of interaction within complex systems. Firstly, based on the stability theo...

The Efficacy of Conversational AI in Rectifying the Theory-of-Mind and Autonomy Biases: Comparative Analysis.

JMIR mental health
BACKGROUND: The increasing deployment of conversational artificial intelligence (AI) in mental health interventions necessitates an evaluation of their efficacy in rectifying cognitive biases and recognizing affect in human-AI interactions. These bia...