Artificial intelligence (AI) utilization in health care has grown over the past few years. It also has demonstrated potential in improving the efficiency of diagnosis and treatment. Some types of AI, such as machine learning, allow for the efficient ...
Machine learning provides many powerful and effective techniques for analysing heterogeneous electronic health records (EHR). Administrative Health Records (AHR) are a subset of EHR collected for administrative purposes, and the use of machine learni...
The Urologic clinics of North America
Aug 25, 2023
Bladder cancer is a common and heterogeneous disease that poses a significant burden to the patient and health care system. Major unmet needs include effective early detection strategy, imprecision of risk stratification, and treatment-associated mor...
Journal of the American College of Radiology : JACR
Aug 19, 2023
One of the biggest hurdles to widespread adoption of new procedures and technology such as artificial intelligence (AI) algorithms is payment and coverage policy. Noninvasive assessment of coronary fractional flow reserve is one AI imaging algorithm ...
Clinica chimica acta; international journal of clinical chemistry
Aug 16, 2023
Artificial Intelligence (AI) and Machine Learning (ML) are powerful tools shaping the healthcare sector. This review considers twelve key aspects of AI in clinical practice: 1) Ethical AI; 2) Explainable AI; 3) Health Equity and Bias in AI; 4) Sponso...
BACKGROUND: Artificial intelligence (AI) in health care continues to expand at a rapid rate, impacting both nurses and communities we accompany in care.
Health policy (Amsterdam, Netherlands)
Aug 12, 2023
Despite the renewed interest in Artificial Intelligence-based clinical decision support systems (AI-CDS), there is still a lack of empirical evidence supporting their effectiveness. This underscores the need for rigorous and continuous evaluation and...
IEEE/ACM transactions on computational biology and bioinformatics
Aug 9, 2023
Modern Healthcare cyberphysical systems have begun to rely more and more on distributed AI leveraging the power of Federated Learning (FL). Its ability to train Machine Learning (ML) and Deep Learning (DL) models for the wide variety of medical field...
The application of artificial intelligence (AI) in the field of medicine has revolutionised various sectors of the health care system, including robotics surgery, biotechnology, pharmaceutical, evidence-based medicine and advanced research and transp...
In an age where technology is evolving at a sometimes incomprehensibly rapid pace, the liver community must adjust and learn to embrace breakthroughs with an open mind in order to benefit from potentially transformative influences on our science and ...
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