Databricks lance l’IA multi-agents AiChemy pour trouver des médicaments – Le Monde Informatique www.lemondeinformatique.fr/actualites/lire-databricks%C2%A0lance%C2%A0l-ia-multi-agents-aichemy-pour-trouver-des-medicaments-99836.html
Lees verderCategorie: e-health
Effectiveness of a Telecare-Based Intervention Program in Supporting Informal Caregivers of Community-Dwelling Older Adults in Reducing Stress Levels: Randomized Controlled Trial
Wong A, Bayuo J, Ng N, Yau M, Yu K, Lin R, Su J, Hui V, Montayre J Effectiveness of a Telecare-Based Intervention Program in Supporting Informal Caregivers of Community-Dwelling Older Adults in Reducing Stress Levels: Randomized Controlled Trial JMIR Mhealth Uhealth 2026;14:e70791 URL: mhealth.jmir.org/2026/1/e70791 DOI: 10.2196/70791
Lees verderA Mobile App–Based Individualized Nonpharmacological Intervention for Behavioral and Psychological Symptoms in Dementia: Pilot Randomized Controlled Trial
Cho E, Yang M, Hwang S, Kim E, Cho J, Kim M A Mobile App–Based Individualized Nonpharmacological Intervention for Behavioral and Psychological Symptoms in Dementia: Pilot Randomized Controlled Trial JMIR Mhealth Uhealth 2026;14:e79469 URL: mhealth.jmir.org/2026/1/e79469 DOI: 10.2196/79469
Lees verderThe Healthcare Burnout Backlash (pt 2): Positioning AI pilots for success within EHR-integrated environments
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Lees verderUtah ya permite que una IA renueve recetas médicas sin hablar con un médico: 190 fármacos, 4 dólares por renovación y un debate que divide a la medicina
Utah ya permite que una IA renueve recetas médicas sin hablar con un médico: 190 fármacos, 4 dólares por renovación y un debate que divide a la medicina wwwhatsnew.com/2026/04/06/utah-ia-renovar-recetas-medicas-doctronic-piloto-190-farmacos/
Lees verderUn test portátil con smartphone detecta contaminación fecal en agua en menos de un minuto: sin laboratorio, sin equipos especializados, con una gota
Un test portátil con smartphone detecta contaminación fecal en agua en menos de un minuto: sin laboratorio, sin equipos especializados, con una gota wwwhatsnew.com/2026/04/05/test-portatil-smartphone-contaminacion-agua-un-minuto/
Lees verderMeta lanza las primeras gafas de IA diseñadas para graduados: Ray-Ban Meta Blayzer y Scriber soportan casi todas las recetas, cuestan 499$ y vienen con seguimiento nutricional y resúmenes de WhatsApp
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Lees verderMental Health Apps Implemented in the Workplace: Scoping Review of Trends and Gaps in Evaluation Research
Addanki S, Macedo L, MacDermid J, Moll S Mental Health Apps Implemented in the Workplace: Scoping Review of Trends and Gaps in Evaluation Research JMIR Mhealth Uhealth 2026;14:e57046 URL: mhealth.jmir.org/2026/1/e57046 DOI: 10.2196/57046
Lees verderThe Human Side of AI Medical Devices: Why Safety Depends on Design, Not Just Algorithms
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Lees verderAfterSession: AI Therapy Notes in Minutes
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Lees verderEste hombre hace música solo con su mente y un implante cerebral
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Lees verderExamining the Use of Consumer Wearable Devices and Digital Tools for Stress Measurement in College Students: Scoping Review of Methods
Sathyanarayana A, Amin O, An J, Onnela J Examining the Use of Consumer Wearable Devices and Digital Tools for Stress Measurement in College Students: Scoping Review of Methods JMIR Mhealth Uhealth 2026;14:e64144 URL: mhealth.jmir.org/2026/1/e64144 DOI: 10.2196/64144
Lees verderImpact of Different Onboarding Strategies on Low Adoption and Engagement With a Self-Monitoring and Management App for Chronic Musculoskeletal Pain: Prospective Study
Koller C, Blanchard M, Mettler J, Prétat T, Ming Azevedo P, Hügle T Impact of Different Onboarding Strategies on Low Adoption and Engagement With a Self-Monitoring and Management App for Chronic Musculoskeletal Pain: Prospective Study JMIR Mhealth Uhealth 2026;14:e78827 URL: mhealth.jmir.org/2026/1/e78827 DOI: 10.2196/78827
Lees verderRemote Patient Monitoring Program Components and Short-Term Hypertension Control: Retrospective Cohort Study
LaPointe S, Merrill M Remote Patient Monitoring Program Components and Short-Term Hypertension Control: Retrospective Cohort Study JMIR Mhealth Uhealth 2026;14:e69546 URL: mhealth.jmir.org/2026/1/e69546 DOI: 10.2196/69546
Lees verderAssessing Mental Health and Emotional States by Using Smartphone Photoplethysmography–Based Digital Pulse Waveform Analysis: Cross-Sectional Observational Study
Liu I, Hu L, Luo J, Liu C, Zhong Q, Ni S Assessing Mental Health and Emotional States by Using Smartphone Photoplethysmography–Based Digital Pulse Waveform Analysis: Cross-Sectional Observational Study JMIR Mhealth Uhealth 2026;14:e81301 URL: mhealth.jmir.org/2026/1/e81301 DOI: 10.2196/81301
Lees verderIA agentique à l’hôpital, un chemin semé d’embûches
IA agentique à l’hôpital, un chemin semé d’embûches – Le Monde Informatique www.lemondeinformatique.fr/actualites/lire-ia-agentique-a-l-hopital-un-chemin-seme-d-embuches-99588.html
Lees verderFacilitators of and Barriers to Implementation of a Tablet-Based Digital Health Program for Colorectal Cancer Screening in Primary Care: Qualitative Pragmatic Implementation Study
Cromo M, Randazzo A, Miller Jr D, Foley K, Dharod A, Snavely A, Wright E, Brower H, Dignan M Facilitators of and Barriers to Implementation of a Tablet-Based Digital Health Program for Colorectal Cancer Screening in Primary Care: Qualitative Pragmatic Implementation Study JMIR Mhealth Uhealth 2026;14:e74206 URL: mhealth.jmir.org/2026/1/e74206 DOI: 10.2196/74206
Lees verderAdolescents’ Engagement With an mHealth Multiple Health Behavior Change Intervention (LIFE4YOUth): Mixed Methods and Qualitative Comparative Analysis
Seiterö A, Henriksson P, Thomas K, Löf M, Bendtsen M, Müssener U Adolescents’ Engagement With an mHealth Multiple Health Behavior Change Intervention (LIFE4YOUth): Mixed Methods and Qualitative Comparative Analysis JMIR Mhealth Uhealth 2026;14:e88054 URL: mhealth.jmir.org/2026/1/e88054 DOI: 10.2196/88054
Lees verderSmartphone-Based Interpretable Machine Learning for Classifying Single-Leg Squat Performance Using Trunk, Pelvic, and Knee Kinematics: Cross-Sectional Study
Kim S, Park K Smartphone-Based Interpretable Machine Learning for Classifying Single-Leg Squat Performance Using Trunk, Pelvic, and Knee Kinematics: Cross-Sectional Study JMIR Mhealth Uhealth 2026;14:e85126 URL: mhealth.jmir.org/2026/1/e85126 DOI: 10.2196/85126
Lees verderA Telemedicine App for Nonrigid Facial Rehabilitation Training Enhanced by Efficient Fully Convolutional Neural Network With Residual Network (EffiFCNN-ResNet) to Improve Accessibility for Patients With Nasopharyngeal Carcinoma Cancer: Randomized Controlled Trial
Wu T, Han T, Zhang X, Dai Y, Meng X A Telemedicine App for Nonrigid Facial Rehabilitation Training Enhanced by Efficient Fully Convolutional Neural Network With Residual Network (EffiFCNN-ResNet) to Improve Accessibility for Patients With Nasopharyngeal Carcinoma Cancer: Randomized Controlled Trial JMIR Mhealth Uhealth 2026;14:e72560 URL: mhealth.jmir.org/2026/1/e72560 DOI: 10.2196/72560
Lees verderChatbots als mentale steun: wat kan AI voor je doen en waar moet je op letten?
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Lees verderECR: LLMs help patients understand breast imaging reports
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Lees verderAI model shows promise for reading CT scans like a radiologist would
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Lees verderAmazon Connect Health: Agentic AI for healthcare, built for the people who deliver it
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Lees verderMonitoring Respiratory Health in Children With Acute Asthma Using Wearable Electrical Bioimpedance and Breath Sounds: Observational Case-Control Study
Sanchez-Perez J, Berkebile J, Jordan N, Maher K, Inan O, Grunwell J Monitoring Respiratory Health in Children With Acute Asthma Using Wearable Electrical Bioimpedance and Breath Sounds: Observational Case-Control Study JMIR Mhealth Uhealth 2026;14:e72979 URL: mhealth.jmir.org/2026/1/e72979 DOI: 10.2196/72979
Lees verderApp-Based Training Module on Guiding Physicians’ Prescription for Antibiotic Treatment of Gonorrhea: Cluster Randomized Controlled Trial
Jiang T, Zhang X, Zhao P, Fei L, Chen H, Yang Y, Jia M, Wang C, Shen Y, Xu Y, Han Y, Yin Y, Chen X App-Based Training Module on Guiding Physicians’ Prescription for Antibiotic Treatment of Gonorrhea: Cluster Randomized Controlled Trial JMIR Mhealth Uhealth 2026;14:e63736 URL: mhealth.jmir.org/2026/1/e63736 DOI: 10.2196/63736
Lees verderReal-World Long-Term Engagement With a Mobile App Intervention to Improve Self-Management of Type 2 Diabetes Mellitus in China (SMARTDiabetes): Mixed Methods Study
Tao X, Peiris D, Ma Y, Zhang Y, Song H, Mao L, Zhang P Real-World Long-Term Engagement With a Mobile App Intervention to Improve Self-Management of Type 2 Diabetes Mellitus in China (SMARTDiabetes): Mixed Methods Study JMIR Mhealth Uhealth 2026;14:e76699 URL: mhealth.jmir.org/2026/1/e76699 DOI: 10.2196/76699
Lees verderPatient and Clinician Attitudes Toward Mobile Health Apps: Qualitative Study
James C, Krein S, Yon S, Dorsch M, Piette J, Nallamothu B Patient and Clinician Attitudes Toward Mobile Health Apps: Qualitative Study JMIR Mhealth Uhealth 2026;14:e77519 URL: mhealth.jmir.org/2026/1/e77519 DOI: 10.2196/77519
Lees verderRadily: Understand Your Medical Imaging Report – Securely
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Lees verderValerie Health: Modernize your front office
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Lees verderAvec l’IA, l’Hôpital Foch génère des comptes-rendus médicaux
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Lees verderHow an AI tool is helping U.K. clinicians save time and be present with patients
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Lees verderPasswords are officially obsolete — here’s why you should make the jump today
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Lees verderAssessing healthcare’s agentic AI readiness: New research from Microsoft and The Health Management Academy
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Lees verderEmpirical Health: “Don’t die of a heart attack”
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Lees verderImprimir órganos a demanda: el plan de ARPA-H para reducir la espera de trasplantes
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Lees verderWearable Devices for Remote Monitoring of Chronic Diseases: Systematic Review
Tegegne M, Niakan Kalhori S, Haas P, Sobotta V, Warnecke J, Deserno T Wearable Devices for Remote Monitoring of Chronic Diseases: Systematic Review JMIR Mhealth Uhealth 2026;14:e74071 URL: mhealth.jmir.org/2026/1/e74071 DOI: 10.2196/74071
Lees verderDesigning mHealth Apps for Substance Use Recovery Through Real-World Co-Design and Deployment: Mixed Methods Study
Masrani T, Hodgins D, Kim H, Rittenbach K, Johnson E, Messier G Designing mHealth Apps for Substance Use Recovery Through Real-World Co-Design and Deployment: Mixed Methods Study JMIR Mhealth Uhealth 2026;14:e83984 URL: mhealth.jmir.org/2026/1/e83984 DOI: 10.2196/83984
Lees verderLarge-language AI models aren’t immune to medical misinformation, but they can learn to discern
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Lees verderAI detects Alzheimer’s on brain perfusion SPECT scans
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Lees verderAI in Medical Devices: Safety Questions the Industry Can’t Afford to Ignore
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Lees verderUn ultrasonido portátil para vigilar el cáncer de mama con más frecuencia, dentro y fuera de la consulta
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Lees verderEfficacy and Safety of Mobile App–Based Metamemory Cognitive Training for Mild Cognitive Impairment: Multicenter Randomized Clinical Trial
Kang S, Lim J, Stenzel L, Kim K, Kim E, Jeon H, Park D, Lim H, Shim Y, Jang J, Kim Y, Lee S, Park K Efficacy and Safety of Mobile App–Based Metamemory Cognitive Training for Mild Cognitive Impairment: Multicenter Randomized Clinical Trial JMIR Mhealth Uhealth 2026;14:e73464 URL: mhealth.jmir.org/2026/1/e73464 DOI:
Lees verderMobile Apps to Improve Health Parameters in Healthy Adults: Systematic Review
Leuzzi G, Job M, Cosentino C, Testa R, Scafoglieri A, Testa M Mobile Apps to Improve Health Parameters in Healthy Adults: Systematic Review JMIR Mhealth Uhealth 2026;14:e66881 URL: mhealth.jmir.org/2026/1/e66881 DOI: 10.2196/66881
Lees verderUnos científicos han investigado qué le pasa a tu cerebro cuando juegas a videojuegos. Y tienen noticias sorprendentes
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Lees verderAbleMouse: DIY solution that helps even with complete paralysis
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Lees verderTailoring mHealth for Healthy Aging: Focus Group Study With Retirement-Age Adults
Collazo-Castiñeira P, Rodríguez-Rey R, Cruz-Jentoft A, Ben Allouch S, Eglseer D, Schoufour J, Topinková E, Weijs P, Boirie Y, Sánchez-Izquierdo M Tailoring mHealth for Healthy Aging: Focus Group Study With Retirement-Age Adults JMIR Mhealth Uhealth 2025;13:e70051 URL: mhealth.jmir.org/2025/1/e70051 DOI: 10.2196/70051
Lees verderObtaining Patient-Reported Outcome Data via a Home Patient Monitoring App: Development, Implementation, and Validation of Novel Interface Terminology
Sacchi L, Lanzola G, Quaglini S, Veggiotti N, Panzarasa S, Tibollo V, Terzaghi M, Fraterman I, Glaser S, Ottaviano M, Khadakou V, Hisko V, Peleg M, Wilgenhof S, Mallo H, Kogan A, Glasspool D, Medlock S, Del Campo L, Gabetta M, Rizzo M, Locati L, Gabanelli P, Demurtas S, Premoli
Lees verderPatients support AI in radiology, but not as a standalone reader
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Lees verderEstos impresionantes aparatos de ayuda auditiva fueron el secreto mejor guardado de las élites de Nueva York, hasta ahora
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