Latest AI and machine learning research in fda general for healthcare professionals.
Regional morphological analysis represents a crucial step in most neuroimaging studies. Results from...
The article discusses an autonomous and flexible robotic system for radiation monitoring. The detect...
In July 2014, the roboticist Ronald Arkin suggested that child sex robots could be used to treat tho...
MicroRNAs are single-stranded noncoding RNAs known to down-regulate target genes at the protein or m...
To date, consumer health tools available over the web suffer from serious limitations that lead to l...
We developed machine learning methods to identify fibrolipidic and fibrocalcific A-lines in intravas...
Artificial intelligence, as the breakthrough of current information technology, is gaining importanc...
PURPOSE: Drug development in oncology currently is facing a conjunction of an increasing number of a...
The aim was to determine whether an artificial intelligence (AI)-based, computer-aided detection (CA...
Nowadays, electric-powered hand prostheses do not provide adequate sensory instrumentation and artif...
Our research team has developed two versions of an ankle robot for children with cerebral palsy. Bot...
One potential source of new antibacterials is through probing existing chemical libraries for copper...
BACKGROUND: This paper aims to move the debate forward regarding the potential for artificial intell...
Artificial intelligence is a blooming branch of medical device. Its development and quality control ...
BACKGROUND: MicroRNAs (miRNAs) are small, non-coding RNA that regulate gene expression through post-...
The positive regulation of artificial intelligence in healthcare represents a major stake to allow a...
MOTIVATION: During the last decade, improvements in high-throughput sequencing have generated a weal...
Abiotic stress exposure of plants induces metabolic reprogramming which is tightly regulated by sign...