Machine Learning and AI to Improve Health WHS 2019 - Reginal - PowerPoint PPT Presentation

In The Name of God, The Compassionate, The Merciful Machine Learning and AI to Improve Health WHS 2019 - Reginal Meetings - Kish Island Hamid R. Rabiee ICT Innovation Center Bioinformatics & Computational Biology Lab (BCB) Department of Computer Engineering Sharif University of Technology

Machine Learning & AI to Improve Health 2 Basic ic Facts Computing Power Big Data As of November 2018, the fastest supercomputer Our current output of data is 2.5 quintillion with a LINPACK benchmark scores 143.5 PFLOPS. (10 18 ) Bytes a day. 90% of the data in the Moreover, cloud computing has emerged as an on- world has been created in the last two demand platform for delivery of computing power. years! Health Economy Health Data Enormous amount of data is generated via According to Deloitte the global annual medical health records, test results, genomics, health spending will reach to $8.734 trillion diagnostics and wearables, coupled with dollars by 2020, increasing at an annual rate demographic data from multiple sources. of 5.4 percent. AI Machine Learning Machine learning is a branch of artificial AI is the theory and development of intelligence in which algorithms learn from computer systems able to perform tasks data, with or without explicit guidance, to normally requiring human intelligence, such improve predictions or classifications of as visual perception, speech recognition, data. and decision-making. Capitalist Slides

Applications of AI and Machine Learning in Healthcare 3 Art rtificial in intelligence, , machine le learning, g, and advances in in data scie ience are described as tr transformative technologies for th the health care sector. . They could potentially affect many aspects of f health care. Identifying Diseases and Diagnosis Medical Imaging Diagnosis AI, Machine learning and deep learning One of the main AI & ML applications in are both responsible for the healthcare is the identification and breakthrough technologies for imaging diagnosis of diseases and ailments which Diagnosis (e.g. InnerEye by Microsoft). are otherwise considered hard-to- diagnose (e.g. PReDicT by BERG). Big Data Machine Learning Data Analytics Artificial Intelligence Behavioral Modification Drug Discovery and Manufacturing One of the primary clinical applications of It is an important part of preventive AI & machine learning lies in early-stage medicine, and after the proliferation of AI drug discovery process (e.g. Project & machine learning in healthcare, many Hanover for cancer treatment by startups have grown in this field (e.g. Microsoft). Somatics B2B2C ML-Based startup).

Applications of AI and Machine Learning in Healthcare 4 Art rtificial in intelligence, , machine le learning, g, and advances in in data scie ience are described as tr transformative technologies for th the health care sector. . They could potentially affect many aspects of f health care. Outbreak Prediction Crowdsourced Data Collection AI-based technologies are being put to Crowdsourcing allowing researchers and use in monitoring and predicting practitioners to access a vast amount of epidemics around the world (e.g. information uploaded by people based on ProMED-mail a real-time Reporting their own consent (e.g. ResearchKit by Platform). Apple to treat Asperger and Parkinson). Bidg Data Machine Learning Data Analytics Artificial Intelligence Personalized Medicine Smart Health Records Maintaining up-to-date health records is Personalized treatments pairs individual an exhaustive process. MIT is at the health with predictive analytics for better cutting edge of developing the next disease assessment, is extensively relying generation of intelligent, smart health on AI and ML technologies (e.g. IBM records, by using ML and AI technologies. Watson Oncology).

AI-Based Health Care Startups are Growing Globally 5 Capitalist Slides

BCB HealthCloud PHR System Focus 6 Sharif University of Technology AI, Machine Learning, and Big Data AI, ML Analytics enhances the quality of Big Data Analytics health services in the HealthCloud eco-system. HealthCloud has all the required modules to become the 1st Health Backend as a Service in the Iranian market. IoT plays a critical role in mass data Internet Backend acquisition, and creating a of Things comprehensive smart monitoring as a Service and management of health services. Capitalist Slides

BCB AI-Based HealthCloud PHR System 7 Medical Social Network Location Based Services Online Medical Consultation Online Medical Tests Online Personal Health Records History - HealthCloud is an spin-off from the Value Added Service Laboratory at Sharif University of Technology. - During the first six months of operation, Healt lthCloud attracted more than 8 million users on 2.XG text-based services, who receive daily health tips on their favorite topics. - Following this successful experience we decided to develop a comprehensive AI-Based PHR system, called Healt lthCloud, , as an OTT over the 3G and 4G Networks. Capitalist Slides

BCB HealthCloud PHR System Features 8 Health Measurement Exams Continuous Health monitoring Health-related Document Online Consultation with a System Management Network of Certified Practitioners Systematic analysis of multiple Users can participate in different Users can manage their health Users can ask questions and seek health factors and providing measurement exams created by documents such as prescriptions consultation on more than 75 branches of tailored information help users to practitioners to check their and test reports in their account, medical science, while protecting their keep track of their major health overall health Status. securely. privacy. HealthCloud guarantees measures. providing a reliable answer within 24 hours. Family Health Management Location-Based Services Health Newsletter Smart Content Delivery System Using crowdsourcing technics, The users will receive content The users will receive high quality The entire family can have a HealthCloud has built the most based on their profiles and newsletters with contents from the single account for efficient comprehensive geo-location database of health record histories or based credited experts in various health management of their health health-related centers in Iran which users on their favorites. fields. services while receiving services can access through a Mobile app. according to their own profile. Capitalist Slides

Some Key Ideas to Promote Use of AI & ML in Healthcare 9 Develop Standards Dedicated On-Line WHS Social Media To make the data shareable across different To train, share knowledge platforms and best practices, globally. Promote Develop Open Platforms Startups To promote global Foster Innovative cooperation on deployment of Ideas to Improve AI-Based e-health services Healthcare with AI Capitalist Slides

Thank you for your Time and consideration. Hamid R. Rabiee ICT Innovation Center Department of Computer Engineering Sharif University of Technology BCB Lab. http://sharif.edu/~rabiee Department of Computer rabiee@sharif.edu +989128335069 https://www.linkedin.com/in Engineering /hrabiee Sharif University of Technology