Also called personalized medicine, this evolving field makes use of an individual’s genes, lifestyle, environment and other factors to identify unique disease risks and guide treatment decision-making.
Masimo's MightySat Medical is the first FDA-cleared pulse oximeter available to consumers without a prescription, which could disrupt the market for the notoriously inaccurate at-home devices.
MediView’s technologies utilize AR to provide clinicians with 3D “X-ray vision” guidance during minimally invasive procedures and surgeries, while also offering remote collaboration.
Scientists at the University of Surrey in Guildford, England, developed a tool that uses machine learning to identify and treat urinary tract infections at early stages in dementia patients, according to a study published in PLOS One.
The radiology department at the Antwerp University Hospital in Belgium has incorporated an Aidoc tool that uses AI to help radiologists make faster diagnoses from CT scans, the university announced Wednesday, Jan. 16.
IBM is planning to use AI and machine learning to better understand Parkinson’s disease after being awarded a grant from the Michael J. Fox Foundation for Parkinson’s Research.
Duke researchers have been awarded a grant worth more than $196,000 to address the need of explainability features in AI-based, clinical decision support software versus the need to protect trade secrets for the technology—an issue researchers say has become an emerging problem in AI-enabled healthcare delivery.
AI may be better at spotting cervical cancer and precancer after a study found a deep learning algorithm was more accurate at recognizing the disease than human doctors.
Seventy-seven percent of imaging professionals said machine learning is important, according to a recent report by Reaction Data. The findings signal an increase in use and understanding of machine learning among imaging professionals in the healthcare industry.
The National Science Foundation (NSF) has awarded a $652,820 grant to Florida Atlantic University’s (FAU) College of Engineering and Computer Science to establish the Artificial Intelligence and Deep Learning Training and Research Laboratory.
Researchers from the Massachusetts General Hospital (MGH) in Boston designed a deep-learning algorithm that provides the reasoning behind its decisions, which could help solve transparency issues associated with AI, according to a report by Health Imaging.
