Results 91 to 100 of about 10,164 (240)
Застосування методiв нечiткої логiки для телемедичних систем [PDF]
Розглянуто систему телемоніторингу життєво важливих показників пацієнтів для первинної діагностики та виявлення аномальних значень біофізичних показників.
Хорозов, О.А.
core +1 more source
ABSTRACT Artificial intelligence (AI) is transforming a multitude of medical fields, including orthopaedic surgery. AI‐driven approaches such as machine learning, deep learning, natural language processing and large language models are being increasingly employed across various aspects of orthopaedic practice, offering innovative solutions for ...
Umile Giuseppe Longo +11 more
wiley +1 more source
ABSTRACT Introduction Vancomycin is a critical antibiotic for treating methicillin‐resistant Staphylococcus aureus and other gram‐positive bacterial infections, but achieving and maintaining therapeutic trough concentrations is challenging. Objectives We hypothesized that a deep learning model could accurately predict vancomycin trough concentrations 2
Ghodsieh Ghanbari +5 more
wiley +1 more source
Management of personalised guideline-driven care plans addressing the needs of multi-morbidity via clinical decision support services [PDF]
Introduction: The clinical management of patients suffering from multiple chronic conditions is very complex, disconnected and time-consuming with the traditional care settings.
Arvanitis, Theodoros +14 more
core +2 more sources
Mapping the SPHN Dataset to FHIR
Several European health data research initiatives aim to make health data FAIR for research and healthcare, and supply their national communities with coordinated data models, infrastructures, and tools. We present a first map of the Swiss Personalized Healthcare Network dataset to Fast Healthcare Interoperability Resources (FHIR®).
Klopfenstein, Sophie Anne Inès +3 more
openaire +2 more sources
FHIR Tools for Healthcare Interoperability [PDF]
Electronic Health Records (EHR) is an essential element in human healthcare monitoring systems these days. As a large amount of data continues being archived and uploaded to healthcare repositories, virtually every second across the globe, vast amount of data mining tasks continue being modelled and modified to extract valuable decision support ...
Walinjkar, Amit, Woods, John
openaire +2 more sources
Applications and Challenges of Digital Health in Rheumatology
iNew Medicine, EarlyView.
Xiao‐Xiao Li +4 more
wiley +1 more source
Artificial intelligence (AI) has reached a critical juncture in its integration with healthcare and pharmaceutical developments. Regulatory agencies worldwide are developing frameworks to guide the responsible implementation of AI‐driven drug development and approval processes. The United States Food and Drug Administration (FDA) released its inaugural
Sarfaraz K. Niazi, Sohini Basu Roy
wiley +1 more source
ROMOP: a light-weight R package for interfacing with OMOP-formatted electronic health record data. [PDF]
Objectives:Electronic health record (EHR) data are increasingly used for biomedical discoveries. The nature of the data, however, requires expertise in both data science and EHR structure.
Butte, Atul J +10 more
core
FHIR Based Interoperability of Medical Devices
Although FHIR has been designed to be easy to implement, it requires knowledge that is still hard to find. We aim to evaluate the use of FHIR in Portuguese projects for the integration of medical devices. Two projects were selected, including easyHealth4Covid (EH4C) and Chronic Diseases Management Platform (CDMP).
Sara Caçador, Monteiro +1 more
openaire +2 more sources

