A recent report by the Government Accountability Office (GAO) is encouraging those in the medical field to leverage machine learning (ML) to detect diseases earlier, broaden healthcare access, and improve the consistency and accuracy of patients’ diagnoses.
Diagnostic errors, the report says, are the “most common, catastrophic, and costly” of medical errors – annually affecting more than 12 million Americans and resulting in over $100 billion in additional costs. ML, GAO found, can help…
GAO also found that ML can detect diseases earlier. The technology’s advantage in computer power allows it to conduct analysis more quickly than human medical professionals, which could reduce wait times and lessen the burden on clinics.
Automation of certain tasks could reduce clinical workloads and empower non-specialists to perform more complicated work – like cardiac imaging and analysis. According to the report, this could allow medical professionals to reach larger portions of the population and broaden healthcare access… Read the full article here.
