- Their paper titled "Siamese Bayesian Networks for AI Based Differential Diagnosis," proposed a new method to improve the accuracy of artificial intelligence based diagnosis.
- The symposium paper didn't make waves like a recent study from China published in Nature Medicine that used nearly 101 million data points from electronic health records of over 1.3 million patients and showed that artificial intelligence systems can diagnose common childhood diseases better than some doctors.
- "Now we have close to 1200 diseases trained in the system to take to a conclusion in excess of 85% accuracy diagnosis," says Ajit Narayanan, the third author of the paper and the chief technology officer of mFine, a Bengaluru headquartered healthcare startup.
- A discussion paper floated by Indian government's Niti Aayog places healthcare among one of the focus areas for AI intervention.
- For instance, by listening to someone cough, experienced doctors can tell if the patient has an upper respiratory tract infection or not.
- As we had written earlier , notable AI-driven healthcare startups from India include Qure.ai, which is exploring the medical imaging space; Sigtuple in pathology; CureSkin in dermatology solutions; Niramai for breast cancer detection; and Tricog Health whose cloud-connected ECG devices are used to detect heart complications.
India’s bid to harness AI for healthcare | FactorDaily
3 April 2019 9:02 PM GMT