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Measuring Reliable Internet Connectivity Among Families with Children: Secondary Analysis of a US National Survey

Tran T Doan, Kelsey A Schweiberger, Samuel R Wittman, Tamar Krishnamurti, Sarah K Burns, Janel Hanmer, Kristin N Ray

J Med Internet Res 2025;27:e69304

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Use of a Medical Communication Framework to Assess the Quality of Generative Artificial Intelligence Replies to Primary Care Patient Portal Messages: Content Analysis

Natalie S Lee, Nathan Richards, Jodi Grandominico, Robert M Cronin, Amanda K Hendricks, Ravi S Tripathi, Daniel E Jonas

JMIR Form Res 2025;9:e71966

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Teledentistry for Improving Access To, and Quality of Oral Health Care: Overview of Systematic Reviews and Meta-Analyses

Pascaline Kengne Talla, Paul Allison, André Bussières, Anisha Rodrigues, Frédéric Bergeron, Nicolas Giraudeau, Elham Emami

J Med Internet Res 2025;27:e65211

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The Power of Strategic Social Media Influencer Communication to Improve Black Women’s Knowledge and Awareness of Environmental Endocrine-Disrupting Chemicals: Surveys of Instagram Users

Elissia T Franklin, Katherine E Boronow, Jennifer Liss Ohayon, Aleyana Momplaisir, Jenell Steele, Camille Kathleen Smith, LaShannon Taylor, Breanna D Brock, Korie A Grayson, Kalere Edgecombe, Brittany S Harris, Kristen N Pender, Ijeoma B Kola, Adana AM Llanos, Dede K Teteh-Brooks, Lilly Marcelin, Julia Green Brody, Robin E Dodson

J Med Internet Res 2025;27:e66128

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Improving Large Language Models’ Summarization Accuracy by Adding Highlights to Discharge Notes: Comparative Evaluation

Their method outperformed 3 baseline approaches, namely frequency-based, graph-based, and K-means centroid-based extractive summarization, demonstrating better content preservation and semantic alignment with the original notes. In the study by Alsentzer and Kim [38], they explored extractive summarization of discharge notes from the MIMIC-III database.

Mahshad Koohi Habibi Dehkordi, Yehoshua Perl, Fadi P Deek, Zhe He, Vipina K Keloth, Hao Liu, Gai Elhanan, Andrew J Einstein