Latest AI and machine learning research in medicolegal for healthcare professionals.
Sediment deposition in sewers and urban drainage systems has great effect on the hydraulic capacity ...
BACKGROUND: This paper aims to move the debate forward regarding the potential for artificial intell...
Information Quality (IQ) is a core tenant of contemporary data management practices. Across many dis...
BACKGROUND: Public health nurses (PHNs) engage in home visiting services and documentation of care s...
PURPOSE: Entering all information from narrative documentation for clinical research into databases ...
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...
OBJECTIVE: Universal HIV screening programs are costly, labor intensive, and often fail to identify ...
Radiology and Enterprise Medical Imaging Extensions (REMIX) is a platform originally designed to bot...
The robotization of the human implies a more or less intimate hybridization with the machine. When i...
Digitalisation of health care for the purpose of medical documentation lead to huge amounts of data,...
Data scientists and physicians are starting to use artificial intelligence (AI) even in the medical ...
Deep semen deposition, avoiding retrograde flow, lesions and stress, has proved to be very important...
The availability of user-friendly software to annotate biological datasets and experimental details ...
Semantic relations have been studied for decades without yet reaching consensus on the set of these ...
Automated identification provides an efficient way to categorize patient safety incidents. Previous ...
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-...
Radiological reporting has generated large quantities of digital content within the electronic healt...
In this study, an expert system with a radial basis function neural network (RBF-NN) based on decisi...