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Health Communication on the Internet: Promoting Public Health and Exploring Disparities in the Generative AI Era

Health Communication on the Internet: Promoting Public Health and Exploring Disparities in the Generative AI Era

The emergence of generative artificial intelligence (Gen AI) represents a revolutionary development in health communication and public health promotion. Gen AI, a novel communication tool, mimics human responses during follow-up inquiries.

Jamal Uddin, Cheng Feng, Junfang Xu

J Med Internet Res 2025;27:e66032

Evaluating the Capabilities of Generative AI Tools in Understanding Medical Papers: Qualitative Study

Evaluating the Capabilities of Generative AI Tools in Understanding Medical Papers: Qualitative Study

This study uses a novel benchmark pipeline that can process Pub Med papers regardless of their length using various generative AI tools. This research will provide critical insights into the strengths and weaknesses of different LLMs in enhancing medical research paper comprehension. To overcome the problem of “artificial hallucinations,” we implement the RAG method.

Seyma Handan Akyon, Fatih Cagatay Akyon, Ahmet Sefa Camyar, Fatih Hızlı, Talha Sari, Şamil Hızlı

JMIR Med Inform 2024;12:e59258

Evaluation of Generative Language Models in Personalizing Medical Information: Instrument Validation Study

Evaluation of Generative Language Models in Personalizing Medical Information: Instrument Validation Study

Generative language models (GLMs), such as Chat GPT (Open AI), are now regularly used by consumers [8]. Despite the recent increase in the availability of GLMs, implementing AI as a patient education adjunct is not new [9]. Jayakumar et al [10] previously used AI to assist in patient medical education.

Aidin Spina, Saman Andalib, Daniel Flores, Rishi Vermani, Faris F Halaseh, Ariana M Nelson

JMIR AI 2024;3:e54371

Appraisal of ChatGPT’s Aptitude for Medical Education: Comparative Analysis With Third-Year Medical Students in a Pulmonology Examination

Appraisal of ChatGPT’s Aptitude for Medical Education: Comparative Analysis With Third-Year Medical Students in a Pulmonology Examination

Reference 19: Artificial intelligence in orthopaedics: can Chat Generative Pre-trained Transformer (ChatGPTgenerative ai generative generative artificial intelligenceGenerative Language Models Including ChatGPT Theme Issue: ChatGPT and Generative Language Models in Medical Education

Hela Cherif, Chirine Moussa, Abdel Mouhaymen Missaoui, Issam Salouage, Salma Mokaddem, Besma Dhahri

JMIR Med Educ 2024;10:e52818

Feasibility of Multimodal Artificial Intelligence Using GPT-4 Vision for the Classification of Middle Ear Disease: Qualitative Study and Validation

Feasibility of Multimodal Artificial Intelligence Using GPT-4 Vision for the Classification of Middle Ear Disease: Qualitative Study and Validation

Reference 17: Performance of generative pretrained transformer on the national medical licensing examination Reference 18: A study of the performance of the generative pretrained transformer in the Japanese otorhinolaryngology Reference 26: Accuracy of a generative artificial intelligence model in a complex diagnostic challengegenerative ai generativeGenerative Language Models Including ChatGPT

Masao Noda, Hidekane Yoshimura, Takuya Okubo, Ryota Koshu, Yuki Uchiyama, Akihiro Nomura, Makoto Ito, Yutaka Takumi

JMIR AI 2024;3:e58342

The Artificial Third: A Broad View of the Effects of Introducing Generative Artificial Intelligence on Psychotherapy

The Artificial Third: A Broad View of the Effects of Introducing Generative Artificial Intelligence on Psychotherapy

The introduction of generative artificial intelligence (GAI) has profound implications for a range of human disciplines from education and medicine to economics and law [1-3]. While forms of artificial intelligence (AI) have been around since the 1950s, impacting areas like algorithmic preferences and search functions, it was the launch of large language models (LLMs) in chatbots like Chat GPT in November 2022 that marked a significant milestone [4].

Yuval Haber, Inbar Levkovich, Dorit Hadar-Shoval, Zohar Elyoseph

JMIR Ment Health 2024;11:e54781

Evaluation of Prompts to Simplify Cardiovascular Disease Information Generated Using a Large Language Model: Cross-Sectional Study

Evaluation of Prompts to Simplify Cardiovascular Disease Information Generated Using a Large Language Model: Cross-Sectional Study

Generative language models present risks related to information quality but also opportunities for producing accessible information about CVD at scale, which could advance the American Heart Association’s 2020 impact goals related to health literacy [5].

Vishala Mishra, Ashish Sarraju, Neil M Kalwani, Joseph P Dexter

J Med Internet Res 2024;26:e55388