Johns Hopkins Medicine CEO: Predictive analytics, precision medicine and AI are the future of medicine

More posts on synthetic intelligence: Many medical algorithms hold racial predisposition, study suggestsGundersen carries out AI tech in the middle of pandemic, anticipates $10M returnWhy AI jobs fail: 5 things to understand

Paul Rothman, MD, CEO of Baltimore-based Johns Hopkins Medicine and dean of the medical faculty at Johns Hopkins University, talked about the health systems COVID-19 data platform and the capacity for expert system to make a distinction in how health systems approach treatment in the future in an interview with The Media Line.
Considering that the pandemic began, Johns Hopkins has actually collected COVID-19 data and reported it on a public dashboard for cases and deaths in the U.S. and throughout the world. Dr. Rothman stated the health system is using artificial intelligence and maker learning in its platform and aims to collaborate with others to incorporate data in the future.
One of the huge questions Johns Hopkins hopes to attend to with additional information is why the virus impacts people in a different way. I think working through that needs the analysis of huge data and AI, and these will assist much better anticipate who will get really ill and who might benefit from different therapeutic interventions.”
He likewise stated big data and accuracy medication will be game-changers in health care going forward. Johns Hopkins researchers are analyzing datasets to offer more individualized look after clients, including those who have COVID-19.
” I believe thats the future of medicine: the use of predictive analytics to sector clients that will react in an uniform method to a healing,” stated Dr. Rothman.

© Copyright ASC COMMUNICATIONS 2020. Interested in LINKING to or REPRINTING this material? View our policies by clicking here.

One of the huge concerns Johns Hopkins hopes to resolve with additional data is why the infection affects people in a different way. I think working through that requires the analysis of big data and AI, and these will assist much better forecast who will get extremely ill and who might benefit from various therapeutic interventions.”
© Copyright ASC COMMUNICATIONS 2020.