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AI & The Future of Mobile
Health
BY SABA GUL
What is Mobile Health?
Mobile Health is enabling:
• Wider Reach
• Higher Efficiency
• Patients to be in control of their health
The surge in computing power + connectivity has fueled its
growth
• Access clinical information
• Collaborate with care teams
• Communicate with patients
• Offer real-time monitoring of patients
• Provide healthcare remotely
Mobile Health is being used to:
What is the role of AI in mHealth?
AI can enable:
• Smart Diagnostics
• Clinical Decision-making Support
• Disease Prevention & Management
• Make Relevant Clinical Information Available in Real-time
• Administer Treatment
Example 1: Alzheimer's Diagnosis
• 10M new cases of dementia diagnosed every year = 1 every 3 seconds
• Current Alzheimer’s diagnosis expensive, invasive & not timely
• Bill Gates’s $30M Diagnostics Accelerator for Alzheimer's.
AI can spot signs of Alzheimer’s
Before your family does!
Example 2: Your Personal
Physician
• Check symptoms
• Chronic care management
• Track activity & moods
• Track food & fitness
AI in Health: Not Without Big Challenges
• Who’s responsible for mistakes?
• Dearth of large clinical data sets + ethics of data sharing
• Common sense reasoning critical in medical settings
• Lack of regulations & framework
Not as easy as creating tools & launching them!
Tech+AI can play a massive role in
bridging the healthcare gap
Thank You

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How AI is transforming Mobile Health

  • 1. AI & The Future of Mobile Health BY SABA GUL
  • 2. What is Mobile Health?
  • 3. Mobile Health is enabling: • Wider Reach • Higher Efficiency • Patients to be in control of their health The surge in computing power + connectivity has fueled its growth
  • 4. • Access clinical information • Collaborate with care teams • Communicate with patients • Offer real-time monitoring of patients • Provide healthcare remotely Mobile Health is being used to:
  • 5. What is the role of AI in mHealth?
  • 6. AI can enable: • Smart Diagnostics • Clinical Decision-making Support • Disease Prevention & Management • Make Relevant Clinical Information Available in Real-time • Administer Treatment
  • 7. Example 1: Alzheimer's Diagnosis • 10M new cases of dementia diagnosed every year = 1 every 3 seconds • Current Alzheimer’s diagnosis expensive, invasive & not timely • Bill Gates’s $30M Diagnostics Accelerator for Alzheimer's.
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  • 9. AI can spot signs of Alzheimer’s Before your family does!
  • 10. Example 2: Your Personal Physician • Check symptoms • Chronic care management • Track activity & moods • Track food & fitness
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  • 15. AI in Health: Not Without Big Challenges • Who’s responsible for mistakes? • Dearth of large clinical data sets + ethics of data sharing • Common sense reasoning critical in medical settings • Lack of regulations & framework Not as easy as creating tools & launching them!
  • 16. Tech+AI can play a massive role in bridging the healthcare gap

Notes de l'éditeur

  1. With VenD logo