Canada Global (Web News) Research by UK institutions has proven that artificial intelligence (AI) can be used to predict future health conditions for patients. According to a media report, researchers from King’s College London (KCL), University College London (UCL), King’s College Hospital NHS Foundation Trust and Guy’s and St Thomas NHS Foundation Trust called Forsyte.
According to the report, the tool is an AI model similar to ChatGPT but trained using information from NHS electronic records. The researchers said the technology could be used to monitor patients or help doctors diagnose disease. can be done. They trained three different Forsyte models using more than 811,000 patients from an NHS trust in London and publicly available data in the US. According to the report, based on patient records, a patient Given 10 possible diseases and using material from NH hospitals, Forsyte was 68% accurate by condition and time. 76 percent of eligible and 88 percent of Americans were accurate about the time they used the content.
Zeljko Kraljevic, a research fellow in health informatics, biostatistics at KCL, said in a research paper published in The Lancet Digital Health that the results show that the tool is good at predicting the nature of a patient’s disease. Results can be obtained and used. A useful tool to support decision-making and informed clinical research. Richard Dobson, Senior Informatics Officer at KCL and UCL, Senior Informatics Officer at the National Institute for Health and Care Research (NIHR), Professor at the Mowdlesey Biomedical Research Center (BRC). Said: It’s an exciting time for AI and to build effective tools, we must ensure we use relevant data to train models and patient outcomes to drive innovation in healthcare systems. Collaborate. The team of researchers is now looking to involve other hospitals in the development of Forsyte Two, which Professor Dobson said would lead to a more accurate model of language.
