Continuously learning AI pathologist: An AI powered smart microscope - - PowerPoint PPT Presentation
Continuously learning AI pathologist: An AI powered smart microscope - - PowerPoint PPT Presentation
Continuously learning AI pathologist: An AI powered smart microscope that can automatically scan different biological samples Tathagato Rai Dastidar, Co-founder & Chief Scientific Officer, SigTuple The Wonder Tool! The clinical microscope
The Wonder Tool!
The clinical microscope
Still a gold standard for detecting various types of abnormalities in clinical laboratories
… and the Wonder Person!
The clinical pathologist
But there aren’t enough ...
HOW MANY OF YOU ARE THERE? NOT ENOUGH
Some numbers: In India,
- 1.2 Billion people
- 20,000 pathologists!
The continuously learning AI pathologist
Introducing ...
Transformation over a year ...
How it works
Seeing is believing!
Enabling remote review and collaboration
Multi purpose ...
Blood Urine Semen
… and many more in the pipeline
Continuous learning
Unidentified cells
New data Re-training Extensive validation Deployment
Continuous learning
- Predictions model become better, without any
changes in the hardware
- Predictors for new disease conditions made
available
Where we are ...
- Several clinical studies with leading
laboratories
- High correlation of statistical indices
with existing state-of-the-art
- Adept at finding rarer cells which a
pathologist or existing machines typically miss ○ Proven across multiple studies
Where all does AI play a role?
Scanning
0.5mm diameter
- Impossible to capture entire slide (75mm X
25mm) ○ Location and size of “analyzable area” uncertain ○ Use case dependent definition of “good area”
- Intelligent way to figure out “promising” areas
- Machine learned models to identify “good
images” and “good movement directions”
Classification
- Images are 4k X 3k, with thousands of objects
○ Cannot be classified as a whole
- General approach: Localization followed by classification
- Performance a major bottleneck for CNN based localization
RBC WBC Platelet Normal, elliptical, fragmented ... Neutrophil, lymphocyte, monocyte ... Normal, large ...
Volume estimation
Red blood cells under a microscope What they actually look like
3D characteristic estimation from 2D images
Preventive maintenance
Machine
- peration logs
AI/ML based analysis Dear customer, your device is likely to develop motor problems in the next 48 hours ...