Results 31 to 40 of about 390 (134)
Wireless Health Data Exchange for Home Healthcare Monitoring Systems
Ubiquitous home healthcare systems have been playing an increasingly significant role in the treatment and management of chronic diseases, such as diabetes and hypertension, but progress has been hampered by the lack of standardization in the exchange of
Malrey Lee, Thomas M. Gatton
doaj +1 more source
Practical considerations for pathologists when selecting digital pathology systems: an ESDIP guide
Abstract The implementation of digital pathology (DP) has been reported across academic, public, and private laboratory settings, providing valuable insights into workflow transformation. However, comparatively little guidance exists on how DP systems should be evaluated prior to acquisition and deployment.
Diana Montezuma +9 more
wiley +1 more source
BackgroundClinical trial registries increase transparency in medical research by making information and results of planned, ongoing, and completed studies publicly available.
Gulden, Christian +7 more
doaj +1 more source
Overview of multimodal artificial intelligence (AI) for precision therapeutics. Diverse biomedical data modalities, including multi‐omics, medical imaging, digital pathology, electronic health records, wearable‐device data, and molecular information, are integrated through multimodal AI frameworks incorporating fusion strategies, foundation models ...
Gedion Mengistu Dejen
wiley +1 more source
ABSTRACT The fifth industrial revolution (I5.0), which is based on the utilization of interconnected data for efficient resource usage in meeting human requirements, proposes efficient solutions to resource constraint situations. However, the transition to I5.0 in the health sector is not easy and has to face several obstacles.
Ajay Jha +5 more
wiley +1 more source
The exponential growth in the global population and significant advancements in healthcare broadened the scope of intervention for e-Healthcare through decentralized data access and information exchange, making complex clinical decisions.
R. Sreejith, S. Senthil
doaj +1 more source
Review on enhancing clinical decision support system using machine learning
Abstract Clinical decision‐making is a complex patient‐centred process. For an informed clinical decision, the input data is very thorough ranging from detailed family history, environmental history, social history, health‐risk assessments, and prior relevant medical cases.
Anum Masood +4 more
wiley +1 more source
BackgroundThe European Health Data Space Regulation (EHDS), published in the Official Journal since 5 March 2025, requires Electronic Health Record (EHR) systems across the European Union (EU) to adopt harmonized interoperability and logging components ...
Nathan da Silva Carvalho +7 more
doaj +1 more source
Background The Federal Ministry of Education and Research of Germany (BMBF) funds a network of university medicines (NUM) to support COVID-19 and pandemic research at national level.
Martin Bialke +15 more
doaj +1 more source
Literature Review: Clinical Data Interoperability Models
A medical entity (hospital, nursing home, rest home, revalidation center, etc.) usually includes a multitude of information systems that allow for quick decision-making close to the medical sensors. The Internet of Medical Things (IoMT) is an area of IoT
Rachida Ait Abdelouahid +3 more
doaj +1 more source

