A leading U.S. computer scientist and medical statistician warned that artificial intelligence is being applied with undue haste to analyze data in some areas of biomedical research, leading to inaccurate findings. Artificial intelligence is being applied with undue haste to analyze data in some areas of biomedical research, leading to inaccurate findings, a leading US computer scientist and medical statistician warned on Friday. "I would not trust a very large fraction of the discoveries that are currently being made using machine learning techniques applied to large data sets," Genevera Allen of Baylor College of Medicine and Rice University warned at the American Association for the Advancement of Science annual meeting. Machine learning is a form of AI being applied widely to find patterns and associations within scientific and medical data, for example between genes and diseases. In precision medicine, researchers look for groups of patients with similar DNA profiles so that treatments can be targeted at their particular genetic form of disease.