Latest AI and machine learning research in medicare for healthcare professionals.
BACKGROUND AND OBJECTIVES: The uses of robotics in surgery were hypothesized as far back as 1967, bu...
A diverse universe of statistical models in the literature aim to help hospitals understand the risk...
We determined the pharmacokinetic properties of ceftiofur crystalline-free acid (CCFA), a long-actin...
The objective of the study was to investigate the relationships between vaginal temperature during t...
MOTIVATION: Residue-residue contacts are of great value for protein structure prediction, since cont...
OBJECTIVE: The goal of this study was to develop a practical framework for recognizing and disambigu...
Maintenance and use of a large ontology, consisting of thousands of knowledge assertions, are hamper...
Extracting concepts from medical texts is a key to support many advanced applications in medical inf...
*Machines that dream, the restless impulse for technical change that has marked radiology from its b...
Budget constrained optimal design of experiments is a well studied problem. Although the literature ...
While SCUBA diving, a 44-year-old Caucasian patient had an abnormal cardiac rhythm, presumably Torsa...
A 60-year-old man underwent total gastrectomy with Japanese D2 lymph node dissection for advanced ga...
The strength of cortical synapses distributes lognormally, with a long tail of strong synapses. Vari...
This paper proposes body posture recognition and turning recording system for assisting the care of ...
Different groups of audiences in health care: health professionals and health consumers, each have d...