free download doctors in training step 2 2013

Though in recent years, plenty of medical AI algorithms/systems spring up in both the research and the industry communities, almost all of them are designed to merely solve some pre-specified medical problems, such as classifying skin cancer, detecting pneumonia, and producing treatments for a few pre-defined cancers or diseases. For example, a medical student usually spends more than 5 years of school study and then takes a few years of residency training. Qualified medical practitioners are in severe shortage in many countries of the world and medical training is typically a lengthy procedure. Med3R provides a potential possibility to alleviate the severe shortage of qualified doctors in countries and small cities of China by providing computer-aided medical care and health services for patients. Compared to human experts and competitive baselines, our system can provide more accurate and consistent clinical diagnosis results.

Med3R is further applied for providing aided clinical diagnosis service based on real electronic medical records.

Med3R becomes the first AI system that has successfully passed the written test of National Medical Licensing Examination in China 2017 with 456 scores, surpassing 96.3% human examinees. Here we demonstrate mastering clinical medical knowledge at certificated-doctor-level via a deep learning framework Med3R, which utilizes a human-like learning and reasoning process. Recently, deep learning algorithms have shown potential in solving medical problems.

Mastering of medical knowledge to human is a lengthy process that typically involves several years of school study and residency training.

Free download doctors in training step 2 2013