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Revisiting the Semantic Severity of Anxiety and Depression: Computational Linguistic Study of Normalization and Pathologization

Revisiting the Semantic Severity of Anxiety and Depression: Computational Linguistic Study of Normalization and Pathologization

First, we trained a Continuous Bag of Words word2vec model on the entire corpus using the word2vec package in R (R Foundation for Statistical Computing) [27]. Next, we created a mental health vector by averaging the vectors of words strongly associated with mental health (eg, therapy, psychiatry, and diagnosis; see Multimedia Appendix 1 for details). This vector was used as a reference point for identifying mental health–related language.

Vojtech Pisl, Ana-Maria Bucur, Ioana R Podina

J Med Internet Res 2025;27:e73950

Facilitators and Barriers to Implementing AI in Routine Medical Imaging: Systematic Review and Qualitative Analysis

Facilitators and Barriers to Implementing AI in Routine Medical Imaging: Systematic Review and Qualitative Analysis

We excluded dissertations, conference proceedings, and gray literature. In addition, due to our focus on real-world implementation of AI, we excluded studies conducted in experimental or laboratory settings. We searched the following electronic databases: MEDLINE (Pub Med), Embase, Psyc INFO, Web of Science, IEEE Xplore, and Cochrane CENTRAL. The databases were selected to reflect the interdisciplinary research on AI implementation in health care by including sources from medicine, psychology, and IT.

Katharina Wenderott, Jim Krups, Matthias Weigl, Abigail R Wooldridge

J Med Internet Res 2025;27:e63649

Facilitated Telemedicine as a Patient-Centered, Sociotechnical Intervention to Integrate Hepatitis C Treatment Into Opioid Treatment Programs and Overcome the Digital Divide Among Underserved Populations: Qualitative Study

Facilitated Telemedicine as a Patient-Centered, Sociotechnical Intervention to Integrate Hepatitis C Treatment Into Opioid Treatment Programs and Overcome the Digital Divide Among Underserved Populations: Qualitative Study

The planners were AHT (also a speaker) and BN-R. AHT is a physician-scientist with more than 20 years of experience in treating HCV, especially among people with OUD. He is a Professor of Medicine at UB and the principal investigator on the randomized controlled trial entitled “Integrated Hepatitis C–Opioid Use Disorder Care Through Facilitated Telemedicine A Randomized Trial” [13]. AHT serves on the New York State HCV Elimination Task Force and its HCV Guidelines Committee.

Andrew H Talal, Arpan Dharia, Marianthi Markatou, Lawrence S Brown Jr, Kenneth E Bossert, Zakiya Grubbs, Raktim Mukhopadhyay, Boatemaa Ntiri-Reid, Elisabeth J Houtsmuller

JMIR Public Health Surveill 2025;11:e68854

At-Home Evaluation of Both Wearable and Touchless Digital Health Technologies for Measuring Nocturnal Scratching in Atopic Dermatitis: Analytical Validation Study

At-Home Evaluation of Both Wearable and Touchless Digital Health Technologies for Measuring Nocturnal Scratching in Atopic Dermatitis: Analytical Validation Study

ICCs were estimated using outputs from linear mixed-effects models (function lmer from R package lmer Test (version 3.1-3 [25]) on log-transformed scratch outcomes (normalized scratch frequency and normalized scratch duration) as the response variables, scratch metric source (Philips, Emerald, Reference) as the fixed effect, a random intercept for study participant, and a random intercept for study day nested within participant.

Stefan Avey, Mark Morris, Davit Sargsyan, Molly V Lucas, Andrea O'Brisky, Kenneth Mosca, Andrew Elias, Nicholas Fountoulakis, Mehdi Boukhechba, Xuen Hoong Kok, Saiyam Jain, Mehrnoosh Oghbaie, Nikolay V Manyakov, Miao Wang, Zuleima Aguilar, Lynn Yieh

J Med Internet Res 2025;27:e72216