53% of Execs Say Healthcare Leads Artificial Intelligence Adoption
Fifty-three percent of healthcare executives say that the healthcare industry is ahead of most other industries in artificial intelligence adoption, according to a survey from KPMG. However, 37...Putting the Pieces Together for a Successful Predictive Analytics Strategy
If the evolution of the healthcare industry were a jigsaw puzzle, then predictive analytics would be the last pieces put into place. For years, experts have talked about the potential for artificial intelligence, machine learning,...Predictive Analytics Model Forecasts Hernia Surgery Outcomes
Researchers at the University of Tennessee, Knoxville, have developed a predictive analytics algorithm that can identify future at-risk patients who have undergone hernia surgery, helping providers to...One-Third of Orgs Use Artificial Intelligence in Medical Imaging
One-third of hospitals and imaging centers report using artificial intelligence, machine learning, or deep learning to aid tasks associated with patient care imaging or business operations, according...MIT, Takeda Partner to Develop Healthcare Artificial Intelligence
MIT School of Engineering and Takeda Pharmaceuticals Company Limited have partnered to use artificial intelligence tools to benefit health and drug development. The new MIT-Takeda Program will be...Google’s Verily Partners with Emory Healthcare to Drive Efficiency
Emory Healthcare and Verily, a healthcare entity owned by Google’s parent company Alphabet, are collaborating to develop new solutions that will help improve cost-effectiveness, operational...Data Mining Tool Could Help Train Machine Learning Models
Researchers at Purdue University have created a new framework for mining data to train machine learning models used in drug development. Using machine learning for drug development requires...Natural Language Processing Improves Care for Liver Failure Patients
Researchers at Johns Hopkins Medicine have developed natural language processing (NLP) tools that can diagnose the early and subtle signs of language-associated cognitive impairments in patients with...Deep Learning Could Improve Cohort Selection for Clinical Trials
Deep learning models showed promising results in learning key features for clinical trial cohort selection, which could significantly reduce time and costs, according to a study published in JAMIA. In...Artificial Intelligence in Radiology Will Require Ethics, Standards
Ethical use of artificial intelligence in radiology will require stakeholders to carefully consider how they use data, as well as how they develop and operate decision-making tools, according to a...U-M Leverages Artificial Intelligence to Speed Drug Discovery
Researchers from the University of Michigan (U-M) College of Pharmacy and U-M Life Sciences Institute, as well as Michigan Medicine, are partnering with Atomwise to use artificial intelligence tools to...Sponsored by Optum
