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Camera Culture
Ramesh Raskar
Ramesh Raskar
Assoc. Professor
MIT
Augmenting Surgeons
Patient to Population Scale
AI and Sensors
Capture:
Millions of Surgery Videos
Library of Complications
Analyze:
AI (CV/ML/NLP)
Tips, Anomalies
Interact:
Guide with AR/
Haptics/ Screens
Head-mounted Display Projectors
© Andrei State
Augmented Surgeons: Beyond X-ray vision
Multi-Mode AR
Raskar PhD Thesis ~2000
Raskar | MIT Media Lab
Augmented Reality (AR)
World Input Process Output World
Sense beyond
human ability Abstract
Present within
human ability
Raskar | MIT Media Lab
Augmented Reality (AR)
World Input Process Output World
Camera,
Location
Sensors
Identify,
Track,
Abstract
Display,
Overlay
Interaction
Resolution,
FoV, FPS,
Optics
Bounds of
Physics + Perception
Raskar | MIT Media Lab
South Park - Jurassic Park
Raskar | MIT Media Lab
Realism
Functional
Photoreal
Physical
Non-visual
Ferwerda 2003
Raskar | MIT Media Lab
Realism
Functional
Photoreal
Physical
Non-visual
Archaic neurosc +
perception
Few open datasets
Raskar | MIT Media Lab
Multi-ModeMulti-Format
IoT
Perception
Ergo,
Hygiene
Gestural Language
Raskar | MIT Media Lab
Augmented Reality (AR)
World Input Process Output World
Camera,
Location
Sensors
Identify,
Track,
Abstract
Display,
3D Overlay
Interaction
MultiModal MultiFormat
IoT
Training
DataSets
Perception
Ergo, Hygiene
Ethics
Gestural Language
EyeGlasses
Authoring
IoT
Raskar | MIT Media Lab
hand-held
display
spatial
see-through
display
head-
mounted
display
retinal
display
Head-attached Body-attached spatial
projector
Spatial Augmented Reality
1998
Multi-Mode AR
Real
Object
Raskar | MIT Media Lab
Virtual Reflectance Virtual Illumination
InteractionVirtual Motion
ShaderLamps
Raskar PhD Thesis 1997 - 2000
Machines will not replace talented hands of surgeons
Worldwide scarcity of Surgeons
1. Augmenting Surgeons
‘Waze’
2. Precision Health + Population Health for Surgery
‘Anatome’, Omics for Anatomy
Patient to Population Scale
Raskar PhD Thesis 2002
Waze for Surgeons
Decision making, Share Tips, Training, Find Anomalies
Capture:
Millions of Surgery Videos
Library of Complications
Analyze:
AI (CV/ML/NLP)
Tips, Anomalies
Interact:
Guide with AR/
Haptics/ Screens
Capture Analyze Interact
Improve
Video, Haptics
Speech Interface
TransformDisrupt
Handle co-morbiditiesLibrary of
Complications
Rapid Training,
Create Olympians
Sharing tips and tricks
On site
diagnostic tests
Avoid Waiting
Manage teams
Find anomalies early
Display and Haptics
Precision+PopulationHealth
Waze
Post-operative Predictions
Anatome
Lee Sanders, Raskar 2018
Bard et al 2006
Hashimoto, Rus et al 2016
Gillies, 2014
structure,
function,
development,
evolution,
network
Capture Analyze Interact
Improve
Video, Haptics
Speech Interface
TransformDisrupt
Handle co-morbiditiesLibrary of
Complications
Rapid Training,
Create Olympians
Sharing tips and tricks
Novel Surgeries without
special training
Cellular Level,
Multispectral
On site
diagnostic tests
Avoid Waiting
Manage teams
Find anomalies early
Display and Haptics
Remote /
Distant Capture
‘Anatome’: Anatomic
structure Library
Precision Health:
Guided Options
Population Health across
surgical patientsPrecision+PopulationHealth
Waze + Anatome
Post-operative Predictions
Challenges
•Capture:
•How to get labelled millions of surgery videos
•Analyze:
•Bias in data, close viewpoint of procedures
•Interact:
•Avoid cartoonish VR, Will UX get in the way
Capture Analyze Interact
ImproveTransformDisrupt
InstrumentScaleWorldScale
Machine Learning
Computer Vision
IoT
Motion Tracking
Raskar Team’s Prior Work
Auto-ML
Camera to see
around corners
Brush Endoscope
Cell-resolution Imaging
Tricorder Diagnostics
8D Telehealth
Haptics
Retinal Predictions
Book on AR
Leader @Oculus VR
90 Patents
250 Pubs, Many startups
Acknowledgements
• Camera Culture Group, MIT Media Lab
• Lee Sanders, Carla Pugh, Raj Gupta, Daniel Kraft
• John Werner, Marco Jacobs, Mark Billinghurst, Sameer Rawal, Tim Smith,
Alvaro Cassinelli, Benjamin Lok, Rob Lindenman, Brett Jones, Mk Haley,
Chris Sanders
• MERL
• Amit Agrawal, Ashok Veeraraghavan, Ankit Mohan, Jack Tumblin, Jeroen van Baar, Paul
Beardsley, Remo Ziegler, Thomas Willwacher, Srinivas Rao, Cliff Forlines, Paul Dietz, Joe Marks,
Darren Leigh
• UNC Chapel Hill, Office of the Future group
• Greg Welch, Kok-lim Low, Deepak B’padhyay, Aditi Majumder, Michael Brown, Ruigang Yang
• Henry Fuchs, Herman Towles
• Wei-chao Chen
Machines will not replace talented hands of surgeons
Worldwide scarcity of Surgeons
AI, Sensors, Interactive Tech
1. Augmenting Surgeons
‘Waze’ for Surgeons
Sharing tips, Rapid education, Anomalies
Tech to get you in and out of OR
2. Precision Health and Population Health for Surgery
‘Anatome’: structure, function, development, evolution
Predict complications, handle co-morbidities
Novel surgeries without special training
AR for IA
Patient to Population Scale for Surgery
Ramesh Raskar, MIT Media Lab

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Augmented Surgeons: AI AR for Anatome, Raskar Aria 2019

  • 1. Camera Culture Ramesh Raskar Ramesh Raskar Assoc. Professor MIT Augmenting Surgeons Patient to Population Scale AI and Sensors
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  • 4. Capture: Millions of Surgery Videos Library of Complications Analyze: AI (CV/ML/NLP) Tips, Anomalies Interact: Guide with AR/ Haptics/ Screens
  • 5. Head-mounted Display Projectors © Andrei State Augmented Surgeons: Beyond X-ray vision Multi-Mode AR Raskar PhD Thesis ~2000
  • 6. Raskar | MIT Media Lab Augmented Reality (AR) World Input Process Output World Sense beyond human ability Abstract Present within human ability
  • 7. Raskar | MIT Media Lab Augmented Reality (AR) World Input Process Output World Camera, Location Sensors Identify, Track, Abstract Display, Overlay Interaction Resolution, FoV, FPS, Optics Bounds of Physics + Perception
  • 8. Raskar | MIT Media Lab South Park - Jurassic Park
  • 9. Raskar | MIT Media Lab Realism Functional Photoreal Physical Non-visual Ferwerda 2003
  • 10. Raskar | MIT Media Lab Realism Functional Photoreal Physical Non-visual Archaic neurosc + perception Few open datasets
  • 11. Raskar | MIT Media Lab Multi-ModeMulti-Format IoT Perception Ergo, Hygiene Gestural Language
  • 12. Raskar | MIT Media Lab Augmented Reality (AR) World Input Process Output World Camera, Location Sensors Identify, Track, Abstract Display, 3D Overlay Interaction MultiModal MultiFormat IoT Training DataSets Perception Ergo, Hygiene Ethics Gestural Language EyeGlasses Authoring IoT
  • 13. Raskar | MIT Media Lab hand-held display spatial see-through display head- mounted display retinal display Head-attached Body-attached spatial projector Spatial Augmented Reality 1998 Multi-Mode AR Real Object
  • 14. Raskar | MIT Media Lab Virtual Reflectance Virtual Illumination InteractionVirtual Motion ShaderLamps Raskar PhD Thesis 1997 - 2000
  • 15. Machines will not replace talented hands of surgeons Worldwide scarcity of Surgeons 1. Augmenting Surgeons ‘Waze’ 2. Precision Health + Population Health for Surgery ‘Anatome’, Omics for Anatomy Patient to Population Scale Raskar PhD Thesis 2002
  • 16. Waze for Surgeons Decision making, Share Tips, Training, Find Anomalies
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  • 18. Capture: Millions of Surgery Videos Library of Complications Analyze: AI (CV/ML/NLP) Tips, Anomalies Interact: Guide with AR/ Haptics/ Screens
  • 19. Capture Analyze Interact Improve Video, Haptics Speech Interface TransformDisrupt Handle co-morbiditiesLibrary of Complications Rapid Training, Create Olympians Sharing tips and tricks On site diagnostic tests Avoid Waiting Manage teams Find anomalies early Display and Haptics Precision+PopulationHealth Waze Post-operative Predictions
  • 20. Anatome Lee Sanders, Raskar 2018 Bard et al 2006 Hashimoto, Rus et al 2016 Gillies, 2014 structure, function, development, evolution, network
  • 21. Capture Analyze Interact Improve Video, Haptics Speech Interface TransformDisrupt Handle co-morbiditiesLibrary of Complications Rapid Training, Create Olympians Sharing tips and tricks Novel Surgeries without special training Cellular Level, Multispectral On site diagnostic tests Avoid Waiting Manage teams Find anomalies early Display and Haptics Remote / Distant Capture ‘Anatome’: Anatomic structure Library Precision Health: Guided Options Population Health across surgical patientsPrecision+PopulationHealth Waze + Anatome Post-operative Predictions
  • 22. Challenges •Capture: •How to get labelled millions of surgery videos •Analyze: •Bias in data, close viewpoint of procedures •Interact: •Avoid cartoonish VR, Will UX get in the way
  • 23. Capture Analyze Interact ImproveTransformDisrupt InstrumentScaleWorldScale Machine Learning Computer Vision IoT Motion Tracking Raskar Team’s Prior Work Auto-ML Camera to see around corners Brush Endoscope Cell-resolution Imaging Tricorder Diagnostics 8D Telehealth Haptics Retinal Predictions Book on AR Leader @Oculus VR 90 Patents 250 Pubs, Many startups
  • 24. Acknowledgements • Camera Culture Group, MIT Media Lab • Lee Sanders, Carla Pugh, Raj Gupta, Daniel Kraft • John Werner, Marco Jacobs, Mark Billinghurst, Sameer Rawal, Tim Smith, Alvaro Cassinelli, Benjamin Lok, Rob Lindenman, Brett Jones, Mk Haley, Chris Sanders • MERL • Amit Agrawal, Ashok Veeraraghavan, Ankit Mohan, Jack Tumblin, Jeroen van Baar, Paul Beardsley, Remo Ziegler, Thomas Willwacher, Srinivas Rao, Cliff Forlines, Paul Dietz, Joe Marks, Darren Leigh • UNC Chapel Hill, Office of the Future group • Greg Welch, Kok-lim Low, Deepak B’padhyay, Aditi Majumder, Michael Brown, Ruigang Yang • Henry Fuchs, Herman Towles • Wei-chao Chen
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  • 26. Machines will not replace talented hands of surgeons Worldwide scarcity of Surgeons AI, Sensors, Interactive Tech 1. Augmenting Surgeons ‘Waze’ for Surgeons Sharing tips, Rapid education, Anomalies Tech to get you in and out of OR 2. Precision Health and Population Health for Surgery ‘Anatome’: structure, function, development, evolution Predict complications, handle co-morbidities Novel surgeries without special training AR for IA Patient to Population Scale for Surgery Ramesh Raskar, MIT Media Lab