Latest AI and machine learning research in clinical trials for healthcare professionals.
Much of precision medicine is driven by big health data research-the analysis of massive datasets representing the complex web of genetic, behavioral, environmental, and other factors that impact human well-being. There are some who point to the Common Rule, the regulation governing federally funded human subjects research, as a regulatory panacea for all types of big health data research. But how...
Natural control of assistive devices requires continuous positional encoding and decoding of the user's volition. Human movement is encoded by recruitment and rate coding of spinal motor units. Surface electromyography provides some information on the neural code of movement and is usually decoded into finger joint angles. However, the current approaches to mapping the electrical signal into joint...
Neurological impairment from stroke or cerebral palsy often presents with diminished ankle plantar flexor function during the propulsive phase of gait...
Autism is a neurodevelopmental disorder in which the available therapies target the improvement of social skills, in order to ensure a high quality of...
IMPORTANCE: Robot-assisted radical cystectomy is being performed with increasing frequency, but it is unclear whether total intracorporeal surgery imp...
Complex interventions are ubiquitous in healthcare. A lack of computational representations and information extraction solutions for complex intervent...
Clinical informatics can support quality improvement and patient safety in the pediatric intensive care unit (PICU) in several ways including data ext...
BACKGROUND: Few clinical studies on robot-assisted surgery (RAS) for mandibular contouring have been reported.
In many developing countries like India, there is a widespread lack of general awareness about the importance of good oral health, which causes dental...
This article analyzes whether Canada's present approach to regulating health-related artificial intelligence (AI) can address relevant safety-related ...
OBJECTIVE: To compare perioperative and long-term outcomes of robot-assisted minimally invasive esophagectomy (RAMIE) and conventional minimally invas...
To perform a systematic review (SR) and meta-analysis (MA) of outcomes of robot-assisted laparoscopic pyeloplasty (RALP) for ureteropelvic junction (...
The aim of this pilot study was to investigate whether a movement therapy robot can improve skills in using a myoelectric prosthesis by patients with ...
BACKGROUND: Artificial Intelligence (AI) has seen an increased application within digital healthcare interventions (DHIs). DHIs use entails challenges...
The recent emergence of machine-manipulated media raises an important societal question: How can we know whether a video that we watch is real or fake...
OBJECTIVE: We describe our approach to surveillance of reportable safety events captured in hospital data including free-text clinical notes. We hypot...
BACKGROUND: Trunk control ability is an important component of functional independence after the onset of stroke. Recently, it has been reported that ...
ADMET (absorption, distribution, metabolism, excretion, and toxicity) describes a drug molecule's pharmacokinetics and pharmacodynamics properties. AD...
The use of artificial intelligence methods in drug safety began in the early 2000s with applications such as predicting bacterial mutagenicity and hER...