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Exploring Ethics: Understanding the Role of Privacy Policies and Institutional Review Boards in Digital Health Companies

Exploring Ethics: Understanding the Role of Privacy Policies and Institutional Review Boards in Digital Health Companies

In 2012, Facebook researchers manipulated the news feeds of nearly 700,000 users to study emotional contagion, altering the content to be more positive or negative and tracking emotional responses through language changes [12]. This experiment was conducted without explicit user consent, relying on broad acceptance of Facebook’s general terms of service.

Jacqlyn L Yourell, Kelsey L McAlister, Clare C Beatty, Jennifer L Huberty

J Med Internet Res 2025;27:e70711


Quality and Misinformation About Health Conditions in Online Peer Support Groups: Scoping Review

Quality and Misinformation About Health Conditions in Online Peer Support Groups: Scoping Review

Studies reported that the content about long-term life-threatening conditions, such as cancer and diabetes, raised the most substantial concerns regarding the quality of information, highlighting fake, misleading, or inaccurate information [45,51]. With regard to cancer, information about treatments and surgical procedures was particularly described as poor quality [45].

Bethan M Treadgold, Neil S Coulson, John L Campbell, Jeffrey Lambert, Emma Pitchforth

J Med Internet Res 2025;27:e71140


Requirements and Value Elicitation for a High-Fidelity Pelvic Floor Simulator for Physiotherapists: Mixed Methods Study

Requirements and Value Elicitation for a High-Fidelity Pelvic Floor Simulator for Physiotherapists: Mixed Methods Study

Reference 1: (https://www.rcog.org.uk/news/rcog-calling-for-action-to-reduce-number-of-women-living-with-poor-pelvic-floor-health

Yael Zekaria, Antonia Tzemanaki, Jonathan Rossiter

JMIR Hum Factors 2025;12:e72119


Scientific Evidence for Clinical Text Summarization Using Large Language Models: Scoping Review

Scientific Evidence for Clinical Text Summarization Using Large Language Models: Scoping Review

Reference 70: Benchmarking large language models for news summarization Reference 85: (https://physionet.org/news/post/gpt-responsible-use) Reference 87: De-identifying medical patient data doesn't protect our privacy(https://hai.stanford.edu/news

Lydie Bednarczyk, Daniel Reichenpfader, Christophe Gaudet-Blavignac, Amon Kenna Ette, Jamil Zaghir, Yuanyuan Zheng, Adel Bensahla, Mina Bjelogrlic, Christian Lovis

J Med Internet Res 2025;27:e68998