Mayo Clinic Proceedings. Digital health最新文献

{"title":"DD-NeuralNet: Dual-Domain Neural Network for Enhanced Multi-Lead ECG Decision Support","authors":"Weiguo Cao PhD , Jianfu Li PhD , Cui Tao PhD","doi":"10.1016/j.mcpdig.2025.100289","DOIUrl":"10.1016/j.mcpdig.2025.100289","url":null,"abstract":"","PeriodicalId":74127,"journal":{"name":"Mayo Clinic Proceedings. Digital health","volume":"3 4","pages":"Article 100289"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145789729","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"In Reply: Barriers to Radiomics Adoption for Urological Cancer Diagnosis in Low-Income and Middle-Income Countries: A Perspective from Pakistan","authors":"Isaiah Z. Yao, Min Dong, William Y.K. Hwang MBBS, FRCP, FAMS, MBA","doi":"10.1016/j.mcpdig.2025.100263","DOIUrl":"10.1016/j.mcpdig.2025.100263","url":null,"abstract":"","PeriodicalId":74127,"journal":{"name":"Mayo Clinic Proceedings. Digital health","volume":"3 4","pages":"Article 100263"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145159891","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Reliability of Cycle Applications for Pregnancy Planning and Contraception: A Systematic Review","authors":"Isabell Rabe DMD, MPH ,&nbsp;Jan P. Ehlers DVM, MA","doi":"10.1016/j.mcpdig.2025.100239","DOIUrl":"10.1016/j.mcpdig.2025.100239","url":null,"abstract":"<div><h3>Objective</h3><div>To show the effectiveness of cycle applications in both areas of application—contraception and intended pregnancy.</div></div><div><h3>Methods</h3><div>A systematic review based on the PubMed and Google Scholar databases, with the addition of a hand search, was conducted from May 11, 2023, through April 11, 2024, to objectively answer this question. Of 1539 sources with matching search terms, 19 sources remained after checking for inclusion criteria according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses scheme. These were analyzed according to an evaluation scale regarding their quality in various areas. The average quality ratings and pregnancy probabilities of the studies were compared.</div></div><div><h3>Results</h3><div>Comparability within and between the subquestions was hardly possible owing to different presentation of results, bias risks, and mostly uncontrolled study designs. Applications for those wishing to become pregnant provided better quality ratings in some cases. There were indications that cycle applications shorten the time to achieving a desired pregnancy in cases of reduced fertility. In addition, some seem to have a similar contraceptive safety as the contraceptive pill but require significantly more compliance.</div></div><div><h3>Conclusion</h3><div>Independent, controlled studies with a diverse clientele of test subjects are necessary for a scientific classification. In addition, social, structural, and political adjustments are needed to enable individuals to make informed decisions about the use of cycle and fertility applications.</div></div>","PeriodicalId":74127,"journal":{"name":"Mayo Clinic Proceedings. Digital health","volume":"3 4","pages":"Article 100239"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145109430","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Artificial Intelligence Techniques and Health Literacy: A Systematic Review","authors":"Abigail Naa Amankwaa Abeo MS ,&nbsp;Sophie Armstrong BSc ,&nbsp;Michael Scriney PhD ,&nbsp;Hannah Goss PhD","doi":"10.1016/j.mcpdig.2025.100269","DOIUrl":"10.1016/j.mcpdig.2025.100269","url":null,"abstract":"<div><h3>Objective</h3><div>To systematically review the utilization of artificial intelligence (AI) in health literacy, highlighting limitations and future developments.</div></div><div><h3>Methods</h3><div>A systematic review, following PRISMA guidelines, was conducted searching 6 databases for studies published from January 1, 2014, through April 10, 2024. Data extracted included population characteristics, health literacy definitions and measurement, study objectives, AI techniques, and metrics. Risk of bias was assessed using an adapted checklist.</div></div><div><h3>Results</h3><div>From 1296 studies, 18 (1.4%) met inclusion criteria. These studies primarily evaluated text-based materials, including online articles, and electronic health records, with most materials in English, but also incorporated other languages. Artificial intelligence played various roles, including evaluating complexity, text simplification/readability enhancement, translation, and question-answering. Only 5 studies involved participant engagement. Seven studies provided a health literacy definition, consistently describing it as an individual’s ability to obtain, understand, and use health information for informed decisions, often linking it to external factors. However, only 1 study incorporated an individual level health literacy measurement tool, whereas organizational level health literacy measurement remained largely overlooked. The AI techniques used included traditional machine learning, deep learning, and transformer-based models. Evaluation metrics were categorized into human evaluation, readability, and machine learning metrics.</div></div><div><h3>Conclusion</h3><div>The review highlights AI’s dynamic application in relation to health literacy; however, measurement of health literacy, at both an individual and organizational level, to evidence AI's effectiveness remains limited. In addition, future work should not only measure health literacy outcomes more rigorously but also pursue research on enhancing AI model performance, robust evaluation, and their practical implementation in real-world settings.</div></div>","PeriodicalId":74127,"journal":{"name":"Mayo Clinic Proceedings. Digital health","volume":"3 4","pages":"Article 100269"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145363565","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Foundation Models as a New Portable Standard in Local Risk Stratification for Emergency Surgery","authors":"Chris Varghese MBChB, BMedSc(Hons) ,&nbsp;Elizabeth B. Habermann PhD ,&nbsp;Kristine T. Hanson MPH ,&nbsp;Ashok Choudhary PhD ,&nbsp;Hojjat Salehinejad PhD ,&nbsp;Cornelius A. Thiels DO, MBA","doi":"10.1016/j.mcpdig.2025.100284","DOIUrl":"10.1016/j.mcpdig.2025.100284","url":null,"abstract":"","PeriodicalId":74127,"journal":{"name":"Mayo Clinic Proceedings. Digital health","volume":"3 4","pages":"Article 100284"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145789797","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Sustainable by Design: Digital Health Business Models for Equitable Global Health Impact in Low-Income and Low-Middle-Income Countries","authors":"Elvin Irihamye MSc ,&nbsp;Justin Hadad MPhil ,&nbsp;Natasha Ali MD, MSc ,&nbsp;Bruno Holthof PhD, MD, MBA ,&nbsp;Francis Wafula DPhil, MSc ,&nbsp;Chris Paton DPhil, MBA ,&nbsp;Mike English MBBChir ,&nbsp;Shobhana Nagraj DPhil, MPhil, MBBS","doi":"10.1016/j.mcpdig.2025.100261","DOIUrl":"10.1016/j.mcpdig.2025.100261","url":null,"abstract":"<div><div>This study explores challenges and potential strategies related to sustaining digital health business models and markets in low-income and low-middle-income countries using a critical interpretive synthesis approach. We extracted 21 articles from a database search that yielded over 1300 hits and used insights from 7 expert reviewers with experience operating or funding digital health companies in low-middle –income countries. Findings reveal 4 key challenges: (1) internal challenges related to managing value creation for complex stakeholder networks and external challenges related to (2) infrastructure, (3) financing, and (4) regulation. Entrepreneurs must address these through iterative business strategies, but broader market-shaping interventions remain essential. Such interventions could include facilitating strategic partnerships, fit-for-purpose regulation, enhancing public procurement, and innovative financing instruments. Health systems can tailor interventions around their unique contexts by prioritizing technologies, recruiting local market participants, analyzing shared barriers in the business environment, focusing on feasible interventions, and iterating to sustain a competitive environment.</div></div>","PeriodicalId":74127,"journal":{"name":"Mayo Clinic Proceedings. Digital health","volume":"3 4","pages":"Article 100261"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145268891","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Creating a Basic Ethical Framework for Digital Lifestyle Interventions: A Narrative Review","authors":"Nicolien D.M. Dinklo MA ,&nbsp;Maartje H.N. Schermer MD, PhD ,&nbsp;Ineke Bolt PhD ,&nbsp;Hafez Ismaili M’hamdi PhD","doi":"10.1016/j.mcpdig.2025.100295","DOIUrl":"10.1016/j.mcpdig.2025.100295","url":null,"abstract":"<div><div>Digital tools are often seen as promising avenues for promoting and sustaining healthy lifestyle behaviors. They not only offer benefits such as personalization, scalability, and cost-effectiveness but also raise significant ethical concerns. Issues such as equitable access, informed consent, and fair outcomes, particularly for vulnerable populations, must be addressed. An ethical framework is needed to guide the creation of digital lifestyle interventions. A narrative review was conducted across 3 domains: (1) general ethical principles for public health interventions, (2) ethical frameworks for lifestyle interventions, and (3) ethical considerations for digital tools in health promotion. A total of 16 articles were found across all 3 inclusion domains. The following 5 core ethical themes were identified: (1) respect for autonomy; (2) beneficence; (3) harms; (4) equity; and (5) responsibility, sustainability, and accountability. Two ethical considerations stood out in the context of digital interventions: health equity and privacy. Although digital tools may be an effective form of lifestyle intervention, they can disproportionately benefit individuals already in advantaged positions. We present a basic ethical framework for guiding the development and deployment of these digital tools. The framework highlights the tensions that may arise between competing ethical principles and helps developers determine which considerations are most relevant, and to whom, at different stages of intervention design and development.</div></div>","PeriodicalId":74127,"journal":{"name":"Mayo Clinic Proceedings. Digital health","volume":"3 4","pages":"Article 100295"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145519479","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"From CNN to Vision Foundation Models and LLMs: A Multimodal Framework for Pathology Image Retrieval and Auto-Captioning","authors":"Md. Enamul Hoq ,&nbsp;Wataru Uegami ,&nbsp;Saghir Alfasly ,&nbsp;Sahar Rahimi Malakshan ,&nbsp;Ghazal Alabtah ,&nbsp;Armita Kazemi ,&nbsp;Alex T. Schmitgen ,&nbsp;Fred Prior ,&nbsp;H.R. Tizhoosh","doi":"10.1016/j.mcpdig.2025.100291","DOIUrl":"10.1016/j.mcpdig.2025.100291","url":null,"abstract":"","PeriodicalId":74127,"journal":{"name":"Mayo Clinic Proceedings. Digital health","volume":"3 4","pages":"Article 100291"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145786568","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Reimagining Pediatrics in a World of Artificial Intelligence: Will We Be Empowered or Imperiled?","authors":"Shelby Kutty MD, PhD, MHCM ,&nbsp;Yiu-fai Cheung MD ,&nbsp;Sowmya Viswanathan MD ,&nbsp;David A. Danford MD, MPH","doi":"10.1016/j.mcpdig.2025.100258","DOIUrl":"10.1016/j.mcpdig.2025.100258","url":null,"abstract":"","PeriodicalId":74127,"journal":{"name":"Mayo Clinic Proceedings. Digital health","volume":"3 4","pages":"Article 100258"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145098564","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Reviewers for Mayo Clinic Proceedings: Digital Health (2025)","authors":"","doi":"10.1016/j.mcpdig.2025.100304","DOIUrl":"10.1016/j.mcpdig.2025.100304","url":null,"abstract":"","PeriodicalId":74127,"journal":{"name":"Mayo Clinic Proceedings. Digital health","volume":"3 4","pages":"Article 100304"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145571259","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}