Doctor's New Stethoscope Name is AI!

"As a doctor, it is my duty to evaluate the situation with as much data as I can gather and as much expertise as I have and as much experience as I have to determine whether or not the wish of the patient is medically justified" This quote would be so great and remarquable today in the time of big data and digital health revolution if it would not have be written by Dr Jack Kevorkian, better known as "Dr. But in my opinion he was more than right regarding the data he would be able to gather alongside his expertise and experience but it should have be used to cure and save lives, not to do euthanasia. Today too many people and quite often doctors themselves are feeding a competition or even a fight between Big Data and especially Artificial Intelligence and Healthcare Practitioners. What should end up into a major and seamless collaboration between today's fast moving health technologies including AI in particular and doctors, is unfortunately starting with such unnecessary egocentric time consuming and time wasting discussions and fights. In Beijing on 30th of June 2018, an artificial intelligence (AI) system scored 2:0 against elite human physicians in two rounds of competitions in diagnosing brain tumors and predicting hematoma expansion in Beijing. The BioMind AI system, developed by the Artificial Intelligence Research Centre for Neurological Disorders at the Beijing Tiantan Hospital and a research team from the Capital Medical University, made correct diagnoses in 87 percent of 225 cases in about 15 minutes, while a team of 15 senior doctors only achieved 66-percent accuracy in 30 minutes. The AI also gave correct predictions in 83 percent of brain hematoma expansion cases in 3 minutes, outperforming the 63-percent accuracy in 20 minutes among a group of physicians from renowned hospitals across the country. The outcomes for human physicians were quite normal and even better than the average accuracy in ordinary hospitals, said Gao Peiyi, head of the radiology department at Tiantan Hospital, a leading institution on neurology and neurosurgery. To train the AI, developers fed it with tens of thousands of images of nervous system-related diseases that the Tiantan Hospital has archived over the past 10 years, making it capable of diagnosing common neurological diseases such as meningioma and glioma with an accuracy rate of over 90 percent, comparable to that of a senior doctor. All the cases were real and contributed by the hospital, but never used as training material for the AI, according to the organizer. Wang Yongjun, executive vice president of the Tiantan Hospital, said that he personally did not care very much about who won, because the contest was never intended to pit humans against technology but to help doctors learn and improve through interactions with technology. "I hope through this competition, doctors can experience the power of artificial intelligence.