A new technology developed at Tel Aviv University will make it possible, using artificial intelligence, to identify patients who are at risk of serious illness as a result of blood infections. The researchers trained the AI program to study the electronic medical records of about 8,000 patients at Tel Aviv's Ichilov Hospital who were found to be positive for blood infections. These records included demographic data, blood test results, medical history and diagnoses. After studying each patient's data and medical history, the program was able to automatically identify medical files' risk factors with an accuracy of 82%. According to the researchers, in the future this model could even serve as an early warning system for doctors, by enabling them to rank patients based on their risk of serious disease.

A new technology developed at Tel Aviv University will make it possible, using artificial intelligence, to identify patients who are at risk of serious illness as a result of blood infections. The researchers trained the AI program to study the electronic medical records of about 8,000 patients at Tel Aviv's Ichilov Hospital who were found to be positive for blood infections. These records included demographic data, blood test results, medical history and diagnosis. After studying each patient's data and medical history, the program was able to automatically identify medical files' risk factors with an accuracy of 82 percent. According to the researchers, in the future this model could even serve as an early warning system for doctors, by enabling them to rank patients based on their risk of serious disease.

Amazon's next big step in health care is with voice transcription technology that's designed to allow doctors to spend more time with patients and less time at the computer. At Amazon Web Services' re:Invent conference on Tuesday, the company is launching a service called Amazon Transcribe Medical, which transcribes doctor-patient interactions and plugs the text straight into the medical record. "Our overarching goal is to free up the doctor, so they have more attention going to where it should be directed," said Matt Wood, vice president of artificial intelligence at AWS. "And that's to the patient." At last year's re:Invent, AWS introduced a related service called Amazon Comprehend Medical, which "allows developers to process unstructured medical text and identify information such as patient diagnosis, treatments, dosages, symptoms and signs, and more," according to a blog post. Wood said the two services are linked and can be used together.