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The coronavirus disease 2019 pandemic accelerated the implementation of digital technologies, which have now become embedded as essential tools for the management of chronic disease, including cystic fibrosis (CF). Despite subsequent easing of restrictions and because of improved clinical stability resulting from the introduction of highly effective modulator therapy, digital technologies including video and telephone consultations and remote monitoring are likely to remain integral to the future delivery of CF health care. In this article, we explore some of the key developments in digital technologies, barriers to their adoption, and how the CF community is likely to embrace lessons learned from the recent pandemic to help modernize and reshape the future of CF care.
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http://dx.doi.org/10.1055/s-0042-1758730 | DOI Listing |
JMIR Res Protoc
September 2025
Department of Health Services Research & Administration, College of Public Health, University of Nebraska Medical Center, Omaha, NE, United States.
Background: With the availability of more advanced and effective treatments, life expectancy has improved among patients with metastatic breast cancer (MBC), but this makes communication with their medical oncologist more complex. Some patients struggle to learn about their therapeutic options and to understand and articulate their preferences. Mobile health (mHealth) apps can enhance patient-provider communication, playing a crucial role in the diagnosis, treatment, quality of life, and outcomes for patients living with MBC.
View Article and Find Full Text PDFClin Transl Sci
September 2025
Food and Drug Administration, Silver Spring, Maryland, USA.
Since the first decentralized clinical trial (DCT) was conducted in 2011, there has been an increased usage of DCT due to its benefits of patient-centricity and generalizability of findings. This trend was further expedited by the global COVID-19 pandemic. We identified 23 case studies across various therapeutic areas and grouped them into different categories according to their purposes-by necessity, for operational benefits, to address unique research questions, to validate innovative digital endpoints, or to validate decentralization as a clinical research platform.
View Article and Find Full Text PDFJ Ultrasound Med
September 2025
Department of Clinical Analysis, Federal University of Santa Catarina (UFSC), Florianópolis, Brazil.
Objectives: To evaluate the performance of artificial intelligence (AI)-based models in predicting elevated neonatal insulin levels through fetal hepatic echotexture analysis.
Methods: This diagnostic accuracy study analyzed ultrasound images of fetal livers from pregnancies between 37 and 42 weeks, including cases with and without gestational diabetes mellitus (GDM). Images were stored in Digital Imaging and Communications in Medicine (DICOM) format, annotated by experts, and converted to segmented masks after quality checks.
J Telemed Telecare
September 2025
Centre for Innovative Medical Technology, Odense University Hospital, Odense, Denmark.
IntroductionThe use of digital solutions including patient-reported outcomes is limited to follow-up of patients with established diagnoses but is rarely used as first step of the diagnostic process substituting a personal contact with a health professional. We report on the diagnostic validity and cost per patient implications based on a feasibility study of a new virtual diagnostic service (VDS) for common neurological sleep disorders that, as a first step, involves the collection and automated analysis of self-reported digital patient data.MethodsThe VDS was established at the Odense University Hospital, Denmark.
View Article and Find Full Text PDFJ Invest Dermatol
September 2025
Department of Dermatology, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA; Sibel Health, Chicago, Illinois, USA; Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, Illinois, USA. Electronic address:
The integration of wearable medical devices and digital health technologies (DHTs) in health care has grown significantly during the past 2 decades, particularly in dermatology, in which objective measurement of symptoms such as itch remains challenging. This review examines the evolution of DHTs in dermatology, focusing on the validation frameworks necessary for their implementation in clinical trials and research. We discuss the key stages of validation: hardware validation to ensure device reliability, analytical validation to transform raw sensor data into meaningful metrics, and clinical validation to demonstrate utility in specific patient populations.
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