Presentació "Real-Life VR Integration for Mild Cognitive Impairment Rehabilit...
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?
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.
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.