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Rise of Intelligent Machines: The Potential of Artificial Intelligence in Cardiovascular Care
- 1. Jai Nahar, MD, MBA Associate Professor of Pediatrics George Washington University School of Medicine Attending Pediatric Cardiology Children’s National Medical Center, Washington DC Rise of Intelligent Machines: The Potential of Artificial Intelligence in Cardiovascular Care
- 3. Cardiovascular care in the age of Artificial Intelligence (AI) 1. Why should providers care about AI? 2. Why should your patients care about AI? 3. What are the challenges?
- 4. AI: General Concepts Artificial Intelligence AI Machine Learning ML Deep Learning DL AI: Engineering of making Intelligent machines and programs ML: Ability of machines to learn without being explicitly programmed DL: Learning based on Deep Neural Networks
- 5. What AI Technologies are available for Cardiovascular Care ? • Computer Vision • Natural Language Processing (NLP) • Conversational AI • Virtual Assistants • Hybrid Technologies: AR/VR+ AI, Robotics+AI • Robotic Process Automation (RPA)
- 6. AI: Provider’s Lens MD Work flow Augmentation Care Delivery Revenue Optimization Research Operational Speech recognition, NLP for: • EHR documentation • EHR Information Extraction • Compliance (Coding, Quality and Regulatory) ML, Computer vision, NLP for: • Clinical Decision support • Diagnosis • Prevention • Risk Stratification • Early warning system • Treatment NLP for: • Computer assisted coding • Automated preauthorization • No show prediction NLP for: • Clinical trial matching • Registry reporting RPA for: Process Automation
- 7. Patient’s lens: Can AI help me? • Reduce Friction in care delivery • Fill the gaps in care • Increase access • Disease Management at Home • Wellness promotion
- 8. Patient’s Lens: Conversational AI Smart Devices, Sensors, Humanized Robots Home Conversational AI (Virtual agents, Chatbots Smart Sensors Smart Devices Hospital Conversational AI (Chatbots, Humanized Robots) • Appointment Navigation • Patient Education • Patient Engagement • Chronic care management • Personal Health and Wellness coach • Early warning system • Ambulatory monitoring of chronic diseases • Patient Education • Inpatient care navigation • Discharge preparation
- 9. What are the Challenges in AI Adoption? • Privacy • Security • Accuracy • Reliability • Trust • Ethics • Design and development
- 10. Need for Balanced Outlook Avoid AI Phobia Avoid AI Hype Augmented Cardiologist
- 11. Closing Thoughts Man + Machine synergy = Strengthens the power of healing Team effort: Collaboration of all stakeholders with shared vision and aligned interests is key to excel.
- 12. Thank You
Editor's Notes
- With the rise of Machine Intelligence, it is opportune time to consider the impact from provider’s and patient’s perspectives. There are few important questions which need to be considered which will help in adoption of this important technology and scale it up. These 3 questions are: Why should providers care about AI? Why should your patients care about AI? What are the challenges?
- Per American cognitive scientist Marvin Minsky: “The science of making machines do things that would require intelligence if done by man”.
- Looking at AI from providers lens: Use of AI for providers can be divided amongst various functional groups, as illustrated in this figure.
- As a patient my important question is : Can AI help me. Yes, AI can help to :
- From patient’s perspective we can also look at possible uses of AI in setting of patients home and at Hospital. At home Conversational AI agents ca help in ---------- Additionally at home use of smart sensors and devices can facilitate EWS and ambulatory monitoring of chronic diseases. In hospital setting the Conversational AI agents such as Chatbots and Humanized robots can help in --------
- In current Era of Augmented Intelligence (Human + Machine intelligence) it is important to have a balance outlook by avoiding both AI phobia and AI hype.