Researchers at the University of Cambridge have developed an artificial intelligence (AI) model named CytoDiffusion that can analyze blood cells in a patient sample with more accuracy and reliability than trained clinicians. Results published today in Nature Machine Intelligence show this technology has the potential to improve the diagnosis of a wide range of conditions affecting blood cells while reducing time doctors spent in routine tasks.

From anemia to cancer, a wide range of blood disorders can be diagnosed using a blood smear test, where a hematology specialist observes the size, shape and number of blood cells in a patient sample under the microscope. “Knowing what an unusual or diseased blood cell looks like under a microscope is an important part of diagnosing many dise

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