Google DeepMind has reported promising clinical trial results for an AI system designed to spot early signs of several cancers using data from consumer wearable devices. According to the company, the tool reached 94% accuracy in identifying multiple cancer types, raising the possibility of earlier diagnosis through remote care and telemedicine.

The findings point to a growing role for everyday health tech in medical screening. By analyzing signals gathered outside the clinic, the system could help flag patients who may need follow-up testing sooner, potentially improving outcomes when cancers are caught at an earlier stage.

DeepMind’s announcement adds to broader efforts to use artificial intelligence in healthcare, where researchers are testing whether machine learning can support doctors without replacing them. The company has not said the tool is ready for public deployment, and further validation will be needed before it can be used widely.

If confirmed in larger studies, the approach could expand access to screening in communities that face barriers to in-person care. It also underscores the need for careful oversight, privacy protections, and transparent testing as AI moves deeper into medical decision-making.

Cancer detection

DeepMind says wearable AI tool detects early cancers with 94% accuracy