Latest AI and machine learning research in medicolegal for healthcare professionals.
Objective To investigate the effects of β2 glycoprotein I/anti-β2 glycoprotein I antibody complex (β...
We designed the CMOS analog integrate and fire (I&F) neuron circuit can drive resistive synaptic dev...
The purpose of this study was to use natural language processing of physician documentation to predi...
Radiology and Enterprise Medical Imaging Extensions (REMIX) is a platform originally designed to bot...
OBJECTIVE: Universal HIV screening programs are costly, labor intensive, and often fail to identify ...
The robotization of the human implies a more or less intimate hybridization with the machine. When i...
Deep semen deposition, avoiding retrograde flow, lesions and stress, has proved to be very important...
Data scientists and physicians are starting to use artificial intelligence (AI) even in the medical ...
RATIONALE: Transitions to outpatient care are crucial after critical illness, but the documentation ...
Intravitreal therapy is the most common treatment for many chronic ophthalmic diseases, such as age-...
In this study, an expert system with a radial basis function neural network (RBF-NN) based on decisi...
We have designed and developed an in-vacuum dust deposition system specifically conceived to simulat...
A great deal of recent work has been devoted to the topic of biomarkers as aids to diagnosis, progno...