Advances in experimental medicine and biology
Jan 1, 2019
The advances in the Internet and related technologies may lead to changes in professional roles of psychiatrists and psychotherapists. The application of artificial intelligence (AI) and electronic measurement-based care (eMBC) in the treatment of de...
Although decision-making algorithms are not new to medicine, the availability of vast stores of medical data, gains in computing power, and breakthroughs in machine learning are accelerating the pace of their development, expanding the range of quest...
Osteoarthritis (OA) is an extremely common musculoskeletal disease. However, current guidelines are not well suited for diagnosing patients in the early stages of disease and do not discriminate patients for whom the disease might progress rapidly. T...
British journal of hospital medicine (London, England : 2005)
Dec 2, 2018
Despite significant advances in orthopaedic surgery, variability still exists between providers and practice locations, and process inefficiencies are found throughout the health care continuum. Evolving technologies, namely artificial intelligence, ...
PURPOSE: With rapidly evolving treatment options in cancer, the complexity in the clinical decision-making process for oncologists represents a growing challenge magnified by oncologists' disposition of intuition-based assessment of treatment risks a...
We investigate the viability of statistical relational machine learning algorithms for the task of identifying malignancy of renal masses using radiomics-based imaging features. Features characterizing the texture, signal intensity, and other relevan...
Artificial intelligence and machine learning have the potential to revolutionize the delivery of health care. But designing machine learning-based decision support systems is not a merely technical challenge. It also requires attention to bioethical ...
BACKGROUND: It is unclear whether radiomic phenotypes of brain metastases (BM) are related to radiation therapy prognosis. This study assessed whether a convolutional neural network (CNN)-based radiomics model which learned computer tomography (CT) i...