News healthcare <\/p>\n
The Ethereum blockchain will be used to power deep learning artificial intelligence bots that can answer patient inquiries. <\/p>\n
On August 24, 2017, artificial intelligence (AI) and blockchain startup doc.ai Incorporated released details of its language processing platform that timestamps datasets using an Ethereum blockchain-based system and AI tools. <\/p>\n
The project is the result of collaboration between developers from Stanford and Cambridge Universities. According to the announcement, doc.ai can improve patient care by \"creating the most advanced natural language dialog system that generates insights from combined medical data.\" The platform is built on the Ethereum blockchain, allowing for decentralized timestamping of datasets, and makes use of AI that is capable of deep learning on the edge of networks (a term for data processing near the data source on the network, thus reducing communication bandwidth between sensors and the datacenter) or on a mobile device. The AI can provide a 24-hour resource to patients by answering their questions specific to their personal health data and their physician's analysis. In addition, the AI uses the cumulative information gathered to learn about the patient's needs and to customize itself accordingly. <\/p>\n
doc.ai plans to introduce, over the next year, three natural language processing models called Robo-Genomics, Robo-Hematology, and Robo-Anatomics, which will be made available to the medical industry. As described on doc.ais website, Robo-Genomics will provide users with decision support. Robo-Hematology is designed to answer any question on 400+ blood biomarkers. Robo-Anatomics uses a patent-pending Selfie2BMI module that uses a Deep Neural Network to predict a number of anatomic features from a photo of a face. <\/p>\n
Walter De Brouwer, founder and chief executive officer of doc.ai, commented on the attributes of the platform: <\/p>\n
\"We are making it possible for lab tests to converse directly with patients by leveraging advanced artificial intelligence, medical data forensics, and the decentralized blockchain. We envision extensive possibilities for the use of this technology by doctors, patients, and medical institutions.\" <\/p>\n
De Brouwer explained to ETHNews doc.ais motivation for using blockchain technology: <\/p>\n
In an announcement on July 24, 2017, Deloitte Life Sciences and Healthcare and doc.ai will be working together to test the use of Robo-Hematology. Deloittes Rajeev Ronanki commented that \"Platforms like these open new possibilities for patients and medical organizations by providing more personalized, intelligent healthcare. We are excited to collaborate with doc.ai and to be at the forefront of this technology.\" <\/p>\n
The transition to AI and the Ethereum blockchain as a backbone for patient care is a significant step forward for the nascent technologies. We are very excited to bring these three worlds together in one: AI, blockchain and healthcare, said De Brouwer. <\/p>\n
Jeremy Nation is a writer living in Los Angeles with interests in technology, human rights, and cuisine. He is a full time staff writer for ETHNews and holds value in Ether. <\/p>\n
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Doc.ai's Ethereum Blockchain-Based Medical Solutions Bring Artificial Intelligence To Healthcare - ETHNews<\/a><\/p>\n","protected":false},"excerpt":{"rendered":" News healthcare The Ethereum blockchain will be used to power deep learning artificial intelligence bots that can answer patient inquiries. On August 24, 2017, artificial intelligence (AI) and blockchain startup doc.ai Incorporated released details of its language processing platform that timestamps datasets using an Ethereum blockchain-based system and AI tools. The project is the result of collaboration between developers from Stanford and Cambridge Universities Continue reading