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Are Treatment Services Ready for the Use of Big Data Analytics and AI in Managing Opioid Use Disorder?

Are Treatment Services Ready for the Use of Big Data Analytics and AI in Managing Opioid Use Disorder?

Using our collective experiences as OUD treatment providers, evidence experts, and policy makers, we aim to highlight the challenges to be addressed so that these technologies can be used ethically, effectively, and equitably. While it is beyond our scope to provide a cutting-edge account of this rapidly evolving field, we begin by providing examples of big data analytics and AI applications in OUD service settings.

Matthew Amer, Rosalind Gittins, Antonio Martinez Millana, Florian Scheibein, Marica Ferri, Babak Tofighi, Frank Sullivan, Margaret Handley, Monty Ghosh, Alexander Baldacchino, Joseph Tay Wee Teck

J Med Internet Res 2025;27:e58723

Limited Moderating Effect of Podcast Listening on Work Stress and Emotional Exhaustion Among Nurses During the COVID-19 Pandemic: Cross-Sectional Study

Limited Moderating Effect of Podcast Listening on Work Stress and Emotional Exhaustion Among Nurses During the COVID-19 Pandemic: Cross-Sectional Study

To achieve this objective, we focused on 2 main research questions: (1) Can listening to podcasts help nurses manage their emotions and alleviate work -related stress? and (2) Can podcasts modulate the level of emotional exhaustion among nurses? By addressing these questions, the study aimed to gain a deeper understanding of the potential benefits of incorporating podcasts into stress management and emotional support programs for nurses, ultimately enhancing their overall well-being and job performance.

Lu Li Jung, Pei Chin Chou, Yu-Hua Wu

JMIR Nursing 2025;8:e70640

Evaluation of a Digital Media Campaign to Promote Knowledge and Awareness of the GPFirst Program for Nonurgent Conditions: Repeated Survey Study

Evaluation of a Digital Media Campaign to Promote Knowledge and Awareness of the GPFirst Program for Nonurgent Conditions: Repeated Survey Study

In the context of individuals who have nonurgent conditions, we postulated that they are less likely to visit the ED if (1) they perceive their general practitioners as capable of managing their health conditions and understand that EDs are reserved for urgent cases (predisposing factors), (2) they are educated on identifying nonurgent conditions and have access to participating GPFirst clinics (enabling factors), and (3) they are able to comprehend the perceived severity of their health condition (need factors

Rebecca Ong Hui Shan, Hong Choon Oh, Priscilla Goh Sook Kheng, Lyndia Lee Sze Hui, Mas Riza Bte Mohd Razali, Edris Atikah Ahmad, Jagadesan Raghuram, Choon How How, Steven Lim Hoon Chin

JMIR Public Health Surveill 2025;11:e66062

Identifying Patient-Reported Outcome Measure Documentation in Veterans Health Administration Chiropractic Clinic Notes: Natural Language Processing Analysis

Identifying Patient-Reported Outcome Measure Documentation in Veterans Health Administration Chiropractic Clinic Notes: Natural Language Processing Analysis

We aimed to iteratively develop a rule-based pipeline and evaluated performance for a text span pattern matching task and a note categorization task. We also aimed to compare the performance of the rule-based method to statistical and machine learning methods for the note categorization task and estimate the overall prevalence of documented PROM use in the corpus.

Brian C Coleman, Kelsey L Corcoran, Cynthia A Brandt, Joseph L Goulet, Stephen L Luther, Anthony J Lisi

JMIR Med Inform 2025;13:e66466

Increasing the Uptake of Breast and Cervical Cancer Screening Via the MAwar Application: Stakeholder-Driven Web Application Development Study

Increasing the Uptake of Breast and Cervical Cancer Screening Via the MAwar Application: Stakeholder-Driven Web Application Development Study

Hence, to address this gap, we conducted a research project entitled “The Effectiveness of an Interactive Web Application to Motivate and Raise Awareness on Early Detection of Breast and Cervical Cancers (The MAwar study),” a mixed methods feasibility study comprising a pre-post study and a qualitative study that were designed to be conducted in 3 urban primary care clinics in Malaysia.

Nurfarhana Nasrudin, Shariff-Ghazali Sazlina, Ai Theng Cheong, Ping Yein Lee, Soo-Hwang Teo, Abdul Rashid Aneesa, Chin Hai Teo, Fakhrul Zaman Rokhani, Nuzul Azam Haron, Noor Harzana Harrun, Bee Kiau Ho, Salbiah Mohamed Isa

JMIR Form Res 2025;9:e65542

Stigma and Behavior Change Techniques in Substance Use Recovery: Qualitative Study of Social Media Narratives

Stigma and Behavior Change Techniques in Substance Use Recovery: Qualitative Study of Social Media Narratives

With this paper, we aimed to build on existing work that uses Reddit data to explore social media users’ experiences of using (and ceasing to use) alcohol, cannabis, and opioids. We selected these 3 substances because public perception differs for different substances [23].

Annie T Chen, Lexie C Wang, Shana Johnny, Sharon H Wong, Rahul K Chaliparambil, Mike Conway, Joseph E Glass

JMIR Form Res 2025;9:e57468

Tailoring a Skills-Based Serostatus Disclosure Intervention for Transgender Women in South Africa: Protocol for a Usability and Feasibility Study

Tailoring a Skills-Based Serostatus Disclosure Intervention for Transgender Women in South Africa: Protocol for a Usability and Feasibility Study

Specifically, we will tailor SOAR and assess usability for content understandability and satisfaction (aim 1), and then evaluate its feasibility to include retention and any changes in behavioral and biomedical measures (aim 2). We hypothesize that participants will find SOAR feasible, acceptable, and safe to inform a larger efficacy study.

Joseph Daniels, Leonashia Leigh-Ann van der Merwe, Sarah Portle, Cikizwa Bongo, Shiv Nadkarni, Remco Petrus Peters

JMIR Res Protoc 2025;14:e52121

Evaluating the Diagnostic Accuracy of ChatGPT-4 Omni and ChatGPT-4 Turbo in Identifying Melanoma: Comparative Study

Evaluating the Diagnostic Accuracy of ChatGPT-4 Omni and ChatGPT-4 Turbo in Identifying Melanoma: Comparative Study

In this study, we compare the capabilities of two models—Chat GPT-4 Omni (GPT-4o) and Chat GPT-4 Turbo (GPT-4 Turbo)—in identifying melanoma versus “not melanoma” skin lesions. These LLMs were chosen due to their accessibility and ability to answer image-based dermatology board-style questions correctly [5].

Samantha S. Sattler, Nitin Chetla, Matthew Chen, Tamer Rajai Hage, Joseph Chang, William Young Guo, Jeremy Hugh

JMIR Dermatol 2025;8:e67551

Assessing the Diagnostic Accuracy of ChatGPT-4 in Identifying Diverse Skin Lesions Against Squamous and Basal Cell Carcinoma

Assessing the Diagnostic Accuracy of ChatGPT-4 in Identifying Diverse Skin Lesions Against Squamous and Basal Cell Carcinoma

We assessed the ability of Chat GPT to distinguish images of SCC and BCC from other lesions. Open AI’s application programming interface was used to query Chat GPT-4 Omni (Chat GPT-4 O) for assessing the performance in classifying 200 dermatoscopic images each of SCC, BCC, BK, melanocytic nevi, and 150 images of AK from the HAM10 K database [7]. Images were verified using histopathology (>50%), follow-up examination, expert consensus, or in-vivo confocal microscopy.

Nitin Chetla, Matthew Chen, Joseph Chang, Aaron Smith, Tamer Rajai Hage, Romil Patel, Alana Gardner, Bridget Bryer

JMIR Dermatol 2025;8:e67299

Effectiveness of Digital Lifestyle Interventions on Depression, Anxiety, Stress, and Well-Being: Systematic Review and Meta-Analysis

Effectiveness of Digital Lifestyle Interventions on Depression, Anxiety, Stress, and Well-Being: Systematic Review and Meta-Analysis

We defined digital lifestyle interventions as interventions delivered via digital technologies (such as apps, websites, and wearable devices) that were self-guided and did not require real-time clinician delivery (eg, behavior change and education) and aimed to improve lifestyle behaviors [27].

Jacinta Brinsley, Edward J O'Connor, Ben Singh, Grace McKeon, Rachel Curtis, Ty Ferguson, Georgia Gosse, Iris Willems, Pieter-Jan Marent, Kimberley Szeto, Joseph Firth, Carol Maher

J Med Internet Res 2025;27:e56975