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Innovation

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A deep learning algorithm developed by members of Google's artificial intelligence team achieved "state-of-the-art performance" in detecting easily overlooked indicators of lung cancer in CT scans, according to a study published this week in Nature Medicine.

Though it may seem counterintuitive, automating tasks and outsourcing responsibilities to algorithms and other forms of artificial intelligence will actually humanize medicine, according to Eric Topol, MD, director of the Scripps Research Translational Institute in La Jolla, Calif.

Health[at]Scale, a San Jose, Calif.-based startup developing machine learning solutions for precision medicine, has raised $16 million in a Series A funding round, with UnitedHealth Group's Optum as the sole investor, TechCrunch reports.

An artificial intelligence-powered diagnosis system was able to identify tears in the anterior cruciate ligament from MRI scans with sensitivity and specificity comparable to that of a team of clinical radiologists, according to a new study in Radiology: Artificial Intelligence.

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