The National Institutes of Health funding for clinical research applying machine learning techniques in 2017
Amarnath Annapureddy, Suveen Angraal, César Caraballo, Alyssa Grimshaw, Chenxi Huang, Bobak J. Mortazavi, Harlan M. Krumholz
Abstract
Machine learning (ML) techniques have become ubiquitous and indispensable for solving intricate problems in most disciplines. To determine the extent of funding for clinical research projects applying ML techniques by the National Institutes of Health (NIH) in 2017, we searched the NIH Research Portfolio Online Reporting Tools Expenditures and Results (RePORTER) system using relevant keywords. We identified 535 projects, which together received a total of $264 million, accounting for 2% of the NIH extramural budget for clinical research.
Topics & Concepts
PortfolioEngineering managementMedical educationComputer sciencePolitical scienceMedical physicsBusinessMedicineEngineeringFinanceArtificial Intelligence in Healthcare and EducationMeta-analysis and systematic reviewsHealth and Medical Research Impacts