With the newly designed model using Artificial Intelligence by scientist’s prediction of the risk of death in patients with coronary heart disease (CHD) is better compared to that of an expert-constructed model. The machine learning model nowadays is using 600 variables according to the patient’s data compared to that of human-constructed models according to researchers.
According to a new study by PLOS One, Francis Crick Institute is working with University College London Hospitals NHS Foundation Trust and the Farr Institute of Health Informatics Research, to develop the AI model using the data of 80,000 patients. This model that is now in the talks conceptualizes AI compared to predictions based on 27 variables chosen by medical experts with the Crick team getting their AI algorithms themselves, looking for patterns to select the most relevant variables from a set of 600 algorithms.
The trending topics of the year machine learning and AI are hot steaming in healthcare, with the hospitals testing or deploying technology for various uses from treating patients with pancreatic cancer to reducing surgical site infections .according to the experts advice the next generation of clinical decision support tools that includes AI in improving diagnostics, imaging, radiology and pathology are the key aspects amongst As that happens, scientists believe similar models could be used in the future to predict risk the rest and this the booming signal for techno based laboratory practices in the country.
Suggesting treatments according to the diagnosis helps doctors with a deeper scope of aspects in their practice and understanding different diseases and their conditions.