How Machine Learning Can Support Clinical Decision-Making – and Leave the Doctor in Control

HealthTech Magazine

Bradley Merrill Thompson, a Member of the Firm in the Health Care and Life Sciences practice, in the firm’s Washington, DC, office, authored an article in HealthTech Magazine, titled “How Machine Learning Can Support Clinical Decision-Making — and Leave the Doctor in Control.”

Following is an excerpt:

Software built on machine learning algorithms can digest millions of images of benign moles and melanomas, and on its own extract the key features that differentiate the two. Based on this learning, in the future, the software can recognize what is benign and what is not. The problem is that even though the software knows why one image is benign and the other is not, it cannot verbalize the reason.

But new consensus guidelines for designing clinical decision support (CDS) software are emerging, and they aim to leave the healthcare professional in control of the decision-making.