Background: Within the surgical field, there has been an evolution in the application of robotic technology. Semi-autonomous robotic systems and augmented visualization tools are being introduced and may eventually replace existing surgical extenders, such as the da Vinci surgical system. However, little is known about the public perception of these newer technologies within medical care. Objective: The aim of this study is to investigate public perceptions toward robotic surgeries with varying levels of autonomy through a technology acceptance model. Methods: An online survey was distributed via the Amazon MTurk platform. Survey participants were provided definitions of robotic surgical extenders: technology without independent actions; semi-autonomous robotic surgery: technology that provides guidance to the surgeon and requires surgeon input; and fully autonomous robotic surgery: technology which performs tasks autonomously without direct human interaction. The survey assessed attitudes towards each application of robotic technology in surgery. Structural equation models were built to identify associations between perceived usefulness, social risk, time risk, personal risk, and reliability with overall attitudes towards robotic surgeries. Results: A total of 1221 survey responses were recorded (age 38±12 years, 52% female). Individuals were more willing to accept robotic surgical extenders and semi-autonomous robotic surgery compared to autonomous robotic surgery. Higher levels of education and better self-reported health were correlated with more positive attitudes towards robotic surgery. Perceptions of these technologies were not associated with age or income. Overall, attitudes towards robotic technologies in surgery were driven by views on their reliability, safety, and efficiency. Conclusions: The public is more accepting of semi-autonomous surgery and surgical extenders than fully autonomous surgery. Overall attitudes appear to be driven by perceptions of the reliability, safety, and efficiency of these technologies. Understanding these perspectives can help guide patient education within an advancing surgical field.

Background: Managing Type 1 #diabetes (T1D) requires maintaining target blood glucose levels through precise diet and insulin dosing. Predicting postprandial glycaemic responses (PPGRs) based solely on carbohydrate content is limited by factors like meal composition, individual physiology, and lifestyle. Continuous glucose monitors (CGMs) provide insights into these responses, revealing significant individual variability. The statistical clustering method propsed here balances the number of clusters formed and the glycaemic variability of the PPGRs within each cluster to offer a clustering technique on which treatment decisions could be based. Objective: This study aims to develop and evaluate a PPGR clustering method that identifies reproducible meal-specific glucose patterns in people with Type 1 #diabetes (PwT1D). Methods: Blood glucose (BG) data from the OhioT1DM dataset were to assess clustering of PPGR based on the CV of glucose. Clustering was performed using statistical clustering, with each PPGR isolated into 48 data points per event. A CV threshold of

Date Submitted: Nov 19, 2025. Open Peer Review Period: Nov 20, 2025 - Jan 15, 2026.

These kinds of actions have positive effects, according to a study published in the Journal of Medical Internet Research of almost 18,000 people in ...

... Journal of Medical Internet Research. About JMIR Publications News & Perspectives. JMIR Publications is a leading open access publisher of digital ...

Journal of Medical Internet Research, 24, e38144.[CrossRef] [PubMed]. [14], Lindén-Lahti, C., Kivivuori, S., Lehtonen, L. and Schepel, L. (2022) ...

... Journal of Medical Internet Research Mental Health. The results: It isn't looking good for people who need help managing mental health challenges ...

Mullai Murugan, Journal of the American Medical Informatics Association ; Minbyul Jeong, Bioinformatics, 2024 ; Journal of Medical Internet Research.

Journal of Medical Internet Research · Journal of Medical Internet Research 10628 articles · JMIR Research Protocols 5153 articles · JMIR Formative ...

Journal of Medical Internet Research. 2025; 27: e63548. https://doi.org/10.2196/63548. 45. Dura C, Appiah-Kubi E, Niță D, Drigă I, Preda A ...

Date Submitted: Oct 26, 2025. Open Peer Review Period: Nov 17, 2025 - Jan 12, 2026.

Background: Abnormal cell growth that can multiply and transfer to other bodily parts is referred to as #Cancer. Chemotherapy is a standard treatment for #Cancer patients. During or after treatment, patients may have varying degrees of cognitive impairment caused by the drug, which can negatively impact their quality of life. Cognitive impairment brought on by chemotherapy is one of the most frequent side effects that occur both during and after chemotherapy. Cognitive effects after and during chemotherapy have not been addressed in patients. Objective: To evaluate the effectiveness of cognitive rehabilitation on cognition and quality of life in chemotherapy-induced cognitive impairment. Methods: In this Randomized Control Trial (RCT), 60 subjects with chemotherapy-induced cognitive impairments secondary to any #Cancer will be randomised into 2 groups by the sequentially numbered opaque sealed envelope approach. The cognitive functions will be measured as the outcome measures, which include all the recall strategies, executive function tasks, information processing speed, and attention. Both groups will receive intervention every day for 4 weeks. Wilcoxon signed the rank test for data analysis, and students paired the “t” test, which will be used to #Study within-group effects. Mann-Whitney U Test and students Unpaired “t” Test will be used to compare groups at pre-treatment and post-treatment. Results: As of November 2024, we will enrol 60 participants, and the data collection process will start from November 2024- November 2025. The expected results of the effect of cognitive rehabilitation on cognition and quality of life in chemotherapy-induced cognitive impairment in #Cancer patients will be significant, and the expected results will be published at the end week of November 2025. Conclusions: The #Study design is a framework to plan and test the feasibility of the intervention. The cognitive therapy will improve the cognition in chemotherapy-induced cognitive impairment patients. Trial Registration: Clinical Trials Registry India CTRI/2024/04/065805; https://ctri.nic.in/Clinicaltrials/pmaindet2.php?EncHid=MTAyNTE1&Enc=&userName=

Background: Digital tools are increasingly used to support clinical decision-making in dental education. However, the accuracy and efficiency of different support tools, including generative artificial intelligence, in the context of dental trauma management remain underexplored. Objective: This study aimed to evaluate the accuracy of various information sources (chatbot, textbook, mobile app, and no support tool) in conveying clinically relevant educational content related to decision-making in the primary care of traumatically injured teeth. Additionally, the effect of the input strategy on the chatbot’s output response was evaluated. Methods: Fifty-nine dental students with limited prior experience in dental trauma were randomly assigned to one of 4 groups: chatbot (based on generative pretrained transformer [GPT]-4o, n=15), digital textbook (n=15), mobile app (AcciDent app 3.5, n=15), and control group (no support tool, n=14). Participants answered 25 dichotomous questions in a digital examination format using the information source allocated to their group. The primary outcome measures were the percentage of correct responses and the time required to complete the examination. Additionally, for the group using ChatGPT-4o, the quality of prompts and the clarity of chatbot responses were independently evaluated by 2 calibrated examiners using a 5-point Likert scale. Statistical analyses included nonparametric analyses using Kruskal-Wallis tests and mixed-effects regression analyses with an α level of .05. Results: All support tools led to a significantly higher accuracy compared with the control group (P

Background: Breast cancer is the most diagnosed cancer among women, with survivors often experiencing long-term symptoms such as cancer-related fatigue, which significantly impacts quality of life. Yoga has demonstrated potential in alleviating cancer-related fatigue and enhancing overall health and quality of life. Digital interventions are increasingly recognized as a feasible approach to cancer rehabilitation. However, digitally distributed home-based yoga interventions in breast cancer rehabilitation remain underexplored. More research in this area is essential to achieve a deeper understanding of participants’ experiences. Objective: This study aims to explore women’s experiences of participating in a digitally distributed, home-based yoga intervention in breast cancer rehabilitation. Methods: This qualitative study used an inductive content analysis approach. Semistructured interviews were conducted with 20 women who had undergone breast cancer surgery and participated in a 12-week digitally distributed, home-based yoga intervention as part of the randomized controlled multicenter trial Digital Yoga Intervention in Cancer Rehabilitation (DigiYoga CaRe). The intervention consisted of 2 home-based yoga sessions each week: 1 live-streamed group class led by an experienced yoga instructor and 1 prerecorded self-paced practice video. Interviews were conducted within 1 month of completing the intervention, using a semistructured guide with 12 open-ended questions covering physical and mental experiences, daily life impacts, and reflections on the digital format (live-streamed and prerecorded video). The interview transcripts were analyzed using conventional content analysis to identify subcategories and categories, providing insights into participants’ experiences. Results: The interviewees reported that the home-based yoga intervention helped them to actively manage their illness and treatment-related side effects, promoting mental recovery and relaxation, physical function and activity, and self-care practice and routines. They commented that it fostered resilience and empowerment through increased body awareness and by regaining trust in their bodies, self-confidence, and hope for recovery. It was described as a shift in focus toward progress and well-being, equipping them with new coping strategies for their daily lives. They perceived the telerehabilitation format as a safe and user-friendly rehabilitation option, providing support through manageable digital tools, and with minor technical issues that were subsequently resolved. They described feeling safe and supported in the digital environment, fostering a sense of community and individual focus. The accessibility of home-based participation facilitated adherence, making the intervention a valuable and inclusive rehabilitation option for breast cancer survivors, particularly for those experiencing fatigue, time constraints, or challenges related to traveling. Conclusions: The digitally distributed home-based yoga intervention was experienced as an effective and accessible tool for breast cancer rehabilitation, promoting overall well-being. For these participants, it fostered resilience, empowerment, and a sense of community; this highlights its potential as a user-friendly rehabilitation option that could be integrated into cancer care to support recovery and address various patient needs. Trial Registration: ClinicalTrials.gov NCT04812652; https://clinicaltrials.gov/study/NCT04812652

Date Submitted: Nov 14, 2025. Open Peer Review Period: Nov 17, 2025 - Jan 12, 2026.

Background: Accurate assessment of physical activity (PA) in large population-based cohorts remains a major methodological challenge. Self-reported questionnaires, although commonly used due to low cost and simplicity, are prone to recall and social desirability biases, causing misclassification and weakened associations with health outcomes. Body-worn accelerometers provide more objective and reliable measurements, but their acceptability and #feasibility in large-scale epidemiological studies must be carefully evaluated to ensure compliance, data quality, and scalability. Objective: The primary objective was to assess the acceptability of using 3 body-worn accelerometer devices (Fitbit, ActivPAL, and ActiGraph) among healthy middle-aged adults participating in the NutriNet-Santé cohort. The secondary objective was to assess the #feasibility of these devices in terms of wear-time compliance under free-living conditions. Methods: This is an ancillary study of the European WEALTH (WEarable sensor Assessment of physicaL and eaTing beHaviors) project that was conducted between 2023 and 2024 in a subsample of participants of the NutriNet-Santé surveillance in France. This sample included 126 healthy participants (62 men), with a mean age of 46.3 (SD 11.3) years. Participants wore simultaneously 3 body-worn accelerometer devices (Fitbit [wrist], ActivPAL [thigh], and ActiGraph [waist]) for 7 consecutive days. After the wear period, participants completed a specific 22-item web-based questionnaire, regarding their acceptability of using each device. This questionnaire was based on the Technology Acceptance Model, which identifies perceived usefulness and ease of use as key determinants of technology acceptance. Items were rated on a 5-point Likert scale (1=strongly disagree to 5=strongly agree). #feasibility was assessed based on the accelerometer wear time data reported in a log diary by participants. A valid day was defined as ≥600 minutes per day of wear time, and a valid week as at least 4 of such days. Acceptability scores were compared between devices using ANOVA, and #feasibility outcomes were compared using Kruskal-Wallis tests. Results: The acceptability assessment based on the questionnaire revealed significant differences among the 3 devices (P

Date Submitted: Nov 14, 2025. Open Peer Review Period: Nov 17, 2025 - Jan 12, 2026.

Date Submitted: Nov 12, 2025. Open Peer Review Period: Nov 17, 2025 - Jan 12, 2026.

Date Submitted: Nov 19, 2025. Open Peer Review Period: Nov 19, 2025 - Jan 14, 2026.

Date Submitted: Nov 18, 2025. Open Peer Review Period: Nov 20, 2025 - Jan 15, 2026.

Date Submitted: Oct 17, 2025. Open Peer Review Period: Nov 17, 2025 - Jan 12, 2026.

Date Submitted: Nov 14, 2025. Open Peer Review Period: Nov 17, 2025 - Jan 12, 2026.