{"title":"Attention-Enhanced U-Net for Sensor-Efficient High-Density EEG Reconstruction in Wearable Brain Monitoring Systems.","authors":"Jyun-Rong Zhuang, Pin-Cheng Guo","doi":"10.1007/s10916-026-02374-5","DOIUrl":"10.1007/s10916-026-02374-5","url":null,"abstract":"","PeriodicalId":16338,"journal":{"name":"Journal of Medical Systems","volume":"50 1","pages":""},"PeriodicalIF":5.7,"publicationDate":"2026-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13050758/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147623315","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Management Model for the Evaluation of needs and Acquisition of Biomedical Equipment in Healthcare Institutions: Based on WHO Recommendations, and National Regulations.","authors":"Yeimy Liseth Quintana Villamizar, Lina Mayerly Cruz Parra, Fabian Alonso Carvajal Arevalo, Yeison Andrés López Lozano","doi":"10.1007/s10916-025-02329-2","DOIUrl":"10.1007/s10916-025-02329-2","url":null,"abstract":"","PeriodicalId":16338,"journal":{"name":"Journal of Medical Systems","volume":"50 1","pages":""},"PeriodicalIF":5.7,"publicationDate":"2026-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13050756/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147623341","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Radha Nagarajan, Jennifer Hayakawa, Melanie Patterson, Steven Martel
{"title":"Efficient Retrieval and Summarization of Nursing Policies and Procedures with Conversational AI on the Edge-Cloud Continuum.","authors":"Radha Nagarajan, Jennifer Hayakawa, Melanie Patterson, Steven Martel","doi":"10.1007/s10916-026-02371-8","DOIUrl":"https://doi.org/10.1007/s10916-026-02371-8","url":null,"abstract":"","PeriodicalId":16338,"journal":{"name":"Journal of Medical Systems","volume":"50 1","pages":""},"PeriodicalIF":5.7,"publicationDate":"2026-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147592741","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Performance of Large Language Models on Exam-style Questions and Case Challenges Across Varying Levels of Complexity.","authors":"Lei Xu, Wenzhe Zhao, Yuxin Qin, Jingyi Wang","doi":"10.1007/s10916-026-02372-7","DOIUrl":"https://doi.org/10.1007/s10916-026-02372-7","url":null,"abstract":"","PeriodicalId":16338,"journal":{"name":"Journal of Medical Systems","volume":"50 1","pages":""},"PeriodicalIF":5.7,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147592726","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Katharina Kirchsteiger, Lisa Heiler, Markus Bödenler, Sten Hanke
{"title":"Integrating Medication Leaflets Utilizing FHIR and an LLM-Based Question-Answer Pipeline in a Mobile Application.","authors":"Katharina Kirchsteiger, Lisa Heiler, Markus Bödenler, Sten Hanke","doi":"10.1007/s10916-026-02370-9","DOIUrl":"10.1007/s10916-026-02370-9","url":null,"abstract":"","PeriodicalId":16338,"journal":{"name":"Journal of Medical Systems","volume":"50 1","pages":""},"PeriodicalIF":5.7,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13038807/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147592744","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Dan Nguyen, Arya S Rao, Aneesh Mazumder, Bianca Arraiza, Alex Aldrich, William Marks, Marc D Succi
{"title":"Preparing for Pandemics with Large Language Models: An Evaluation of Sensitivity Across COVID-19, Zika, and Monkeypox Case Reports.","authors":"Dan Nguyen, Arya S Rao, Aneesh Mazumder, Bianca Arraiza, Alex Aldrich, William Marks, Marc D Succi","doi":"10.1007/s10916-026-02367-4","DOIUrl":"https://doi.org/10.1007/s10916-026-02367-4","url":null,"abstract":"","PeriodicalId":16338,"journal":{"name":"Journal of Medical Systems","volume":"50 1","pages":""},"PeriodicalIF":5.7,"publicationDate":"2026-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147529875","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Rafael Lani-Louzada, Marco Antonio Negreiros, Jessica Andrade-Silva, Lucas Zago Ribeiro, Luis Guilherme Milesi Pimentel, Rodrigo Guimarães de Souza, Carolina Engelbrecht, Deangelo Gomes Neves, Daniel de Andrade Lessa, Cláudio Luiz Lottenberg, Erika Sayuri Yasaki
{"title":"Clinical Validation of Apollo™, A Novel Web-Based Tool for Refractive Error Self-Assessment.","authors":"Rafael Lani-Louzada, Marco Antonio Negreiros, Jessica Andrade-Silva, Lucas Zago Ribeiro, Luis Guilherme Milesi Pimentel, Rodrigo Guimarães de Souza, Carolina Engelbrecht, Deangelo Gomes Neves, Daniel de Andrade Lessa, Cláudio Luiz Lottenberg, Erika Sayuri Yasaki","doi":"10.1007/s10916-026-02369-2","DOIUrl":"https://doi.org/10.1007/s10916-026-02369-2","url":null,"abstract":"<p><p>Refractive errors are a leading cause of visual impairment, with substantial economic impact. Digital refraction systems may help improve access to eye care, especially for underserved populations. Considering their relevance, this study evaluated the Apollo™, a novel web-based system for self-assessed refractive error measurement, in estimating spherical equivalent (SEQ) compared to manifest refraction (also known as dry refraction or dynamic refraction) performed by experienced ophthalmologists. A prospective, single-center, single-blind, non-randomized study was conducted with 63 eyes of 64 healthy adults aged 18-40 years. Each participant underwent both manifest subjective refraction and digital refraction using Apollo™. Exclusion criteria included astigmatism exceeding 3.00 diopters (D) in absolute value and SEQ beyond - 4.00 D to + 4.00 D. Primary outcome was the comparison of SEQ between methods. No significant difference was observed between SEQ from Apollo™ (mean - 1.20 ± 1.11 D) and manifest refraction (mean - 1.17 ± 1.14 D; p = 0.67). Bland-Altman analysis showed a bias of 0.03 ± 0.90 D, with 95% limits of agreement (LOA) from - 1.73 to 1.78 D. LOA was narrower in myopic SEQ stratum (-1.48 to 1.35D). The ICC for the total sample SEQ was 0.69 (95% CI: 0.52-0.79), and for the myopic SEQ subgroup was 0.74 (95% CI: 0.58-0.84), indicating moderate to good reliability. The accuracy for detecting the sign of SEQ was 82.5% in the overall cohort and 96.2% in the myopic subgroup. Regression analysis revealed a proportional bias, with the system tending to underestimate refractive error as the magnitude of myopia increases (β = -0.27, p = 0.005). In conclusion, Apollo™ demonstrates moderate-to-good reliability and high diagnostic accuracy (96%) in categorizing refractive status among myopes. These results highlight its potential as a valuable digital screening tool, warranting further large-scale studies to refine its predictive algorithm.</p>","PeriodicalId":16338,"journal":{"name":"Journal of Medical Systems","volume":"50 1","pages":""},"PeriodicalIF":5.7,"publicationDate":"2026-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147574361","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Hospital Phone Encounters as Upstream Evidence for AI Scribe Evaluation.","authors":"Emre Sezgin","doi":"10.1007/s10916-026-02366-5","DOIUrl":"https://doi.org/10.1007/s10916-026-02366-5","url":null,"abstract":"","PeriodicalId":16338,"journal":{"name":"Journal of Medical Systems","volume":"50 1","pages":""},"PeriodicalIF":5.7,"publicationDate":"2026-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147521192","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Anne Mooser, Gregory Johnson, Conor McDonnell, Clyde Matava
{"title":"Acceptance and Adoption of Intravenous Smart Pump Integration to Anesthesia Information Management System by Anesthesiologists: A Single Centre Study.","authors":"Anne Mooser, Gregory Johnson, Conor McDonnell, Clyde Matava","doi":"10.1007/s10916-026-02356-7","DOIUrl":"https://doi.org/10.1007/s10916-026-02356-7","url":null,"abstract":"","PeriodicalId":16338,"journal":{"name":"Journal of Medical Systems","volume":"50 1","pages":""},"PeriodicalIF":5.7,"publicationDate":"2026-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147521214","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Gianmarco Sirago, Francesco Calò, Annachiara Vinci, Paolo Visci, Biagio Solarino, Alessandro Dell'Erba, Davide Ferorelli
{"title":"Clinical Use of Non-Certified Generative AI in Healthcare: Governing the Regulatory Grey Zone from Convenience to Legal Accountability.","authors":"Gianmarco Sirago, Francesco Calò, Annachiara Vinci, Paolo Visci, Biagio Solarino, Alessandro Dell'Erba, Davide Ferorelli","doi":"10.1007/s10916-026-02363-8","DOIUrl":"https://doi.org/10.1007/s10916-026-02363-8","url":null,"abstract":"","PeriodicalId":16338,"journal":{"name":"Journal of Medical Systems","volume":"50 1","pages":""},"PeriodicalIF":5.7,"publicationDate":"2026-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147491190","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}