Latest AI and machine learning research in menopause for healthcare professionals.
Recent advances in non-linear computational and dynamical modelling have opened up the possibility t...
The functional complexity of native and replacement aortic heart valves (AVs) is well known, incorpo...
Cerebral blood flow (CBF) can be measured with dynamic positron emission tomography (PET) of O-label...
BACKGROUND: Osteoporosis is an asymptomatic disease of high prevalence and incidence, leading to bon...
PURPOSE: Convolutional neural networks (CNNs) show potential for delineating cancers on contrast-enh...
Human motion prediction, which aims at predicting future human skeletons given the past ones, is a t...
PURPOSE: With few treatment options available for non-ambulatory children with cerebral palsy (CP), ...
Pain is an undesirable sensory experience that can induce depression and limit individuals' activiti...
BACKGROUND: Articular cartilage degeneration is the hallmark change of osteoarthritis, a severely di...
BACKGROUND: Accurate prognostication is crucial in treatment decisions made for men diagnosed with n...
BACKGROUND: COVID-19 pandemic has currently no vaccines. Thus, the only feasible solution for preven...
Predicting and interpreting the spatial location and causes of traffic accidents is one of the curre...
PURPOSE: Novel actuarial deep learning neural network (ADNN) architectures are proposed for joint pr...
The quality of reconstructed dynamic PET images, as well as the statistical reliability of the estim...
In the electronic health record, the majority of clinically relevant information is stored within cl...
We show how complexity theory can be introduced in machine learning to help bring together apparentl...
Diabetes mellitus, commonly measured through an invasive process which although is accurate, has man...
BACKGROUND: Surface-guided radiation therapy can be used to continuously monitor a patient's surface...
The design of an energy-efficient tracking framework is a well-investigated issue and a prominent se...
Protein-DNA interactions exist ubiquitously and play important roles in the life cycles of living ce...
OBJECTIVES: To train a deep learning model to differentiate between pathologically proven hepatocell...