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Deep Learning–Based Chronic Obstructive Pulmonary Disease Exacerbation Prediction Using Flow-Volume and Volume-Time Curve Imaging: Retrospective Cohort Study

Deep Learning–Based Chronic Obstructive Pulmonary Disease Exacerbation Prediction Using Flow-Volume and Volume-Time Curve Imaging: Retrospective Cohort Study

FEV1 is a key predictor of AE-COPD in the majority of existing prediction models [8]. However, its association with exacerbations is relatively weak, limiting its role as a predictive factor [9]. Its contribution to improving predictive performance for future AE-COPD has been minimal [10,11], likely because FEV1 captures only a fraction of the information available from spirometry results.

Eun-Tae Jeon, Heemoon Park, Jung-Kyu Lee, Eun Young Heo, Chang Hoon Lee, Deog Kyeom Kim, Dong Hyun Kim, Hyun Woo Lee

J Med Internet Res 2025;27:e69785

Experiences Receiving and Delivering Virtual Health Care For Women: Qualitative Evidence Synthesis

Experiences Receiving and Delivering Virtual Health Care For Women: Qualitative Evidence Synthesis

Each article was assigned a richness score by 2 team members (AS and TL-D), ranging from 1 to 5, based on the volume and depth of relevant qualitative data [28]. We sampled a subset of articles for abstraction with a focus on overrepresenting marginalized voices, purposively choosing articles from each health care delivery pathway, and prioritizing articles with higher richness scores.

Karen M Goldstein, Sharron Rushton, Allison A Lewinski, Abigail Shapiro, Tiera Lanford-Davey, Jessica N Coleman, Neetu Chawla, Dhara B Patel, Katherine Van Loon, Megan Shepherd-Banigan, Catherine Sims, Sarah Cantrell, Susan Alton Dailey, Jennifer M Gierisch

J Med Internet Res 2025;27:e68314

Clinical Efficacy and Safety of the Herbal Prescription, HH333, in Preventing Recurrent Stroke in Patients With Ischemic Stroke Induced by Small-Vessel Disease: Protocol for Multicenter, Double-Blind, Randomized, Prospective, Pilot Clinical Trial

Clinical Efficacy and Safety of the Herbal Prescription, HH333, in Preventing Recurrent Stroke in Patients With Ischemic Stroke Induced by Small-Vessel Disease: Protocol for Multicenter, Double-Blind, Randomized, Prospective, Pilot Clinical Trial

We present a protocol for a randomized controlled clinical trial to validate the clinical efficacy and safety of HH333 in patients with ischemic stroke induced by small-vessel disease. This study aimed to provide a high level of evidence for the efficacy of HH333 in ischemic stroke and ultimately propose a novel alternative for stroke treatment.

Han-Gyul Lee, Seungwon Kwon, Woo-Sang Jung, Sang-Kwan Moon, Cheol-Hyun Kim, Dong-Jun Choi

JMIR Res Protoc 2025;14:e70953

Prevalence of Multiple Chronic Conditions Among Adults in the All of Us Research Program: Exploratory Analysis

Prevalence of Multiple Chronic Conditions Among Adults in the All of Us Research Program: Exploratory Analysis

Moreover, research suggests that more contemporary generations of adults have a greater MCC burden and are diagnosed with MCC at earlier ages than previous generations [6]. Estimation of the prevalence of MCC throughout all stages of adulthood is a critical reflection of the MCC burden; it is important to examine the prevalence of MCC broadly using regularly updated data sources to inform targeted prevention and management strategies and resource prioritization.

Xintong Li, Caitlin Dreisbach, Carolina M Gustafson, Komal Patel Murali, Theresa A Koleck

JMIR Form Res 2025;9:e69138

The Healing Through Ongoing Psychological Empowerment Telehealth Intervention With Two Spirit, Transgender, and Nonbinary Clients of Color in the United States: Open Clinical Trial Feasibility and Implementation Analysis

The Healing Through Ongoing Psychological Empowerment Telehealth Intervention With Two Spirit, Transgender, and Nonbinary Clients of Color in the United States: Open Clinical Trial Feasibility and Implementation Analysis

Although the study demonstrated that therapy improved clients’ psychological well-being, and participants reported a strong working alliance with their therapist and overall satisfaction with the therapy, many also reported a desire to work with a transgender or nonbinary therapist. This request could not be accommodated in a trial that only included cisgender therapists.

Stephanie Lynne Budge, Elliot Aaron Tebbe, Joonwoo Lee, Sergio Domínguez Jr, Em Matsuno, Louis Lindley

JMIR Form Res 2025;9:e64477

Stigma Attitudes Toward HIV/AIDS From 2011 Through 2023 in Japan: Retrospective Study in Japan

Stigma Attitudes Toward HIV/AIDS From 2011 Through 2023 in Japan: Retrospective Study in Japan

A study by Yu et al [15] also reported that the prevalence of anticipated stigma was significantly higher among people with HIV from East Asia (China, Japan, South Korea, and Taiwan) than those from outside Asia. Stigma refers to negative attitudes, beliefs, and behaviors toward a group (eg, people with HIV) [16].

Yi Piao, Nao Taguchi, Keisuke Harada, Kunihiro Hirahara, Yosuke Takaku, John Austin, KuanYeh Lee, Yui Shiozawa, Yunfei Cheng, Yoji Inoue

J Med Internet Res 2025;27:e69696

Classifying the Information Needs of Survivors of Domestic Violence in Online Health Communities Using Large Language Models: Prediction Model Development and Evaluation Study

Classifying the Information Needs of Survivors of Domestic Violence in Online Health Communities Using Large Language Models: Prediction Model Development and Evaluation Study

A knowledge gap still exists regarding the effectiveness of LLMs in performing multiclass text classification in the domain-specific area of DV. One of the most frequent applications of LLMs is fine-tuning, a process that involves adapting a pretrained model using domain-specific data to enhance its performance on specialized tasks [22].

Shaowei Guan, Vivian Hui, Gregor Stiglic, Rose Eva Constantino, Young Ji Lee, Arkers Kwan Ching Wong

J Med Internet Res 2025;27:e65397

Digital Integrated Interventions for Comorbid Depression and Substance Use Disorder: Narrative Review and Content Analysis

Digital Integrated Interventions for Comorbid Depression and Substance Use Disorder: Narrative Review and Content Analysis

(computer, smartphone, internet, and text message) outside of the traditional F2 F therapy setting; and (4) the article was written in English as a peer-reviewed journal article.

Geneva K Jonathan, Qiuzuo Guo, Heyli Arcese, A Eden Evins, Sabine Wilhelm

JMIR Ment Health 2025;12:e67670

Evaluating the Use of a Note-Taking App by Japanese Resident Physicians: Nationwide Cross-Sectional Study

Evaluating the Use of a Note-Taking App by Japanese Resident Physicians: Nationwide Cross-Sectional Study

Note-taking during learning has long been a mainstay of educational practice and data over the last 60 years, demonstrating its contribution to improved learning and test scores [1,2]. In 1995, a study on effective note-taking among students reported that free note-taking by learners was a particularly effective process [3]. A 2002 report noted that the most effective way for medical students to perform well was to take written notes on materials prepared in advance by the teachers [4].

Taiju Miyagami, Yuji Nishizaki, Taro Shimizu, Yu Yamamoto, Kiyoshi Shikino, Koshi Kataoka, Masanori Nojima, Gautam A Deshpande, Toshio Naito, Yasuharu Tokuda

JMIR Form Res 2025;9:e55087