Technology and health care : official journal of the European Society for Engineering and Medicine
Jan 1, 2024
BACKGROUND: The need for personalised care in the long-term management of patient health is paramount due to the variability in individual features and responses to specific medication. With the availability of large quantities of electronic patient ...
Wound age estimation is the core content in the practice of forensic medicine. Accurate estimation of wound age is a scientific question that needs to be urgently solved by forensic scientists at home and abroad. Metabolomics techniques can effective...
Big data, AI and machine learning aren't phrases normally associated with vet practice, but Taran Rai, applied AI lead and data scientist at the University of Surrey, reveals how his career joins the dots.
MOTIVATION: Living a Big Data era in Biomedicine, there is an unmet need to systematically assess experimental observations in the context of available information. This assessment would offer a means for a comprehensive and robust validation of biom...
Journal of the American Medical Informatics Association : JAMIA
Jun 20, 2023
OBJECTIVES: As the real-world electronic health record (EHR) data continue to grow exponentially, novel methodologies involving artificial intelligence (AI) are becoming increasingly applied to enable efficient data-driven learning and, ultimately, t...
For some years now, the term big data has become common in many fields, even outside of the computer science community, primary thanks to the informative contribution that data - if properly processed - can provide to organizations and companies to s...
Studies in health technology and informatics
May 18, 2023
Over the last decade, the explosion of "Big Data" and its fusion with AI has led many to believe that the development and integration of AI systems in healthcare will usher in a transformative revolution that democratises access to high quality healt...
Mathematical biosciences and engineering : MBE
Apr 7, 2023
We discuss the new paradigm of predictive health intelligence, based on the use of modern deep learning algorithms and big biomedical data, along the various dimensions of: a) its potential, b) the limitations it encounters, and c) the sense it makes...