5 recent studies exploring AI in healthcare

Machine learning of patient characteristics to predict admission outcomes in the undiagnosed diseases network: Researchers developed a machine learning algorithm to determine whether to accept patients to the Undiagnosed Diseases Network for extensive genome-scale evaluation. They found that the admission process could be accelerated by up to 68 percent using the algorithm, which would allow for more applications processed in a given time frame. Use of machine learning models to predict death after acute myocardial infarction: The research team developed machine learning methods to improve the prediction of in-hospital death after hospitalization for acute myocardial infarction. They found their models were not associated with significantly better prediction of risk of death after acute myocardial infarction, but they could improve the resolution of risk, which can better clarify individuals' risk for adverse outcomes. A survey of clinicians on the use of artificial intelligence in ophthalmology, dermatology, radiology and radiation oncology: A survey about personal use of clinical AI tools was conducted among fellows and trainees of three specialty colleges in Australia and New Zealand.