AI Medical Compendium Topic

Explore the latest research on artificial intelligence and machine learning in medicine.

Intuition

Showing 11 to 16 of 16 articles

Clear Filters

Time-of-flight-assisted Kinect camera-based people detection for intuitive human robot cooperation in the surgical operating room.

International journal of computer assisted radiology and surgery
BACKGROUND: Scene supervision is a major tool to make medical robots safer and more intuitive. The paper shows an approach to efficiently use 3D cameras within the surgical operating room to enable for safe human robot interaction and action percepti...

Some Muirhead Mean Operators for Intuitionistic Fuzzy Numbers and Their Applications to Group Decision Making.

PloS one
Muirhead mean (MM) is a well-known aggregation operator which can consider interrelationships among any number of arguments assigned by a variable vector. Besides, it is a universal operator since it can contain other general operators by assigning s...

Intuitive Assessment of Mortality Based on Facial Characteristics: Behavioral, Electrocortical, and Machine Learning Analyses.

Explore (New York, N.Y.)
Studies of various characteristics of the human face indicate that it contains a wealth of information about health status. Most studies involve objective measurement of facial features as correlated with historical health information. But some indiv...

Ethics of socially assistive robots in aged-care settings: a socio-historical contextualisation.

Journal of medical ethics
Different embodiments of technology permeate all layers of public and private domains in society. In the public domain of aged care, attention is increasingly focused on the use of socially assistive robots (SARs) supporting caregivers and older adul...

Artificial Intelligence and Surgical Decision-making.

JAMA surgery
IMPORTANCE: Surgeons make complex, high-stakes decisions under time constraints and uncertainty, with significant effect on patient outcomes. This review describes the weaknesses of traditional clinical decision-support systems and proposes that arti...