Algorithms are increasingly being put to work alongside radiologists and pathologists to help detect and diagnose cancers. Why it matters: AI developers say these tools can help relieve a stressed health care system and improve critical medical decision-making, but experts caution about the risk of overdiagnosis that could drive up health spending and bring the possibility of unnecessary, risky biopsies. Where it stands: Since the FDA began regulating algorithms as medical devices a few years ago, there's been a surge in computer models developed to help detect and diagnose cancer and to assist in prioritizing the workflow of radiologists. The next frontier for AI in cancer pathology is to use biological markers "to predict a clinical outcome that we don't easily predict today," says David Klimstra, the chief medical officer and co-founder of PaigeAI. Keep in mind: FDA clearance is a lower bar than FDA approval when it comes to medical devices, including AI. Yes, but: There is a risk of false positives and unnecessary treatment.