The twenty-first century has proven that data are the new gold. Artificial intelligence (AI) driven technologies might potentially change the clinical practice in all medical specialities, including orthopedic surgery. AI has a broad spectrum of subc...
Robotic-assisted breast surgery (RABS) is controversial. We systematically reviewed the evidence about RABS, comparing it to open conventional breast surgery (CBS). Following prospective registration (osf.io/97ewt), a search was performed in January ...
At ultrahigh field strengths images of the body are hampered by B -field inhomogeneities. These present themselves as inhomogeneous signal intensity and contrast, which is regarded as a "bias field" to the ideal image. Current bias field correction m...
BACKGROUND: The aim of this study was to evaluate the relationship between risk factors causing cardiovascular diseases and their importance with explainable machine learning models.
Journal of applied clinical medical physics
Aug 25, 2023
PURPOSE: Radiation Oncology Learning Health System (RO-LHS) is a promising approach to improve the quality of care by integrating clinical, dosimetry, treatment delivery, research data in real-time. This paper describes a novel set of tools to suppor...
Opioid use disorder (OUD) has emerged as a significant global public health issue, necessitating the discovery of new medications. In this study, we propose a deep generative model that combines a stochastic differential equation (SDE)-based diffusio...
PURPOSE OF REVIEW: This examines significant trends and developments in the utilization of virtual reality (VR) and augmented reality (AR) simulations in the field of mental health and education. The objective is to gain insights into the emerging ap...
[Formula: see text] Advances in neuroimaging, combined with developments in artificial intelligence software, have allowed researchers to noninvasively decode the brain and 'read the mind'.
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