Telemedicine has become one of the most rapidly-expanding components of the health care system. Its adoption has afforded improved access to care, greater resource efficiency, and …
We have conducted a pragmatic clinical trial aimed to assess whether an electrocardiogram (ECG)-based, artificial intelligence (AI)-powered clinical decision support tool enables early …
Healthcare management and healthcare industry have been one of the popular and complex topics that many researchers and professionals have focused on. This paper …
Despite improved ancillary investigations in epilepsy care, patients' narratives remain indispensable for diagnosing and treatment monitoring. This wealth of information is …
A Wen, S Fu, S Moon, M El Wazir, A Rosenbaum… - NPJ digital …, 2019 - nature.com
Data is foundational to high-quality artificial intelligence (AI). Given that a substantial amount of clinically relevant information is embedded in unstructured data, natural language …
S Shafqat, S Kishwer, RU Rasool, J Qadir… - The Journal of …, 2020 - Springer
There is increased interest in deploying big data technology in the healthcare industry to manage massive collections of heterogeneous health datasets such as electronic health …
Electronic health records contain patient‐level data collected during and for clinical care. Data within the electronic health record include diagnostic billing codes, procedure codes …
A Pashazadeh, NJ Navimipour - Journal of biomedical informatics, 2018 - Elsevier
Healthcare provides many services such as diagnosing, treatment, prevention of diseases, illnesses, injuries, and other physical and mental disorders. Large-scale distributed data …
Optical character recognition (OCR) as a classic machine learning challenge has been a longstanding topic in a variety of applications in healthcare, education, insurance, and legal …