AI Screening for DR and Chronic Diseases 2018-03-29 Emma Xu, Dr. - - PowerPoint PPT Presentation

2018-03-29 Emma Xu, Dr. You Li

AI Screening for DR and Chronic Diseases

Impact of Blindness in Elderly

Impact of Visual Impairment and Eye diseases on Mortality: the Singapore Malay Eye Study (SiMES) Scientific Reports volume 5, Article number: 16304 (2015)

Survival Curve for All-cause Mortality in Singapore Malay

Outline

• Why are there high rate for blindness in China
• How AI can be used for the early detection of

eye diseases

• How AI DR screening is used in hospital

Patients of Blinding Diseases in China

• No. of Patients
• Age-related

Diabetic Retinopathy:

12 million

Cataract:

60 million

Glaucoma:

30 million

• Chronic-diseases-related

Retinal Vessel Occlusion:

7 million

Age-related Macula Degeneration:

10 million

• Blindness or Low Vision: 1 / 20

Example: Diabetic Retinopathy (DR)

Healthy Fundus Fundus with DR Lesions Taking fundus image

Deficiency of Ophthalmologists in the Rural China

1/5 County Hospitals have Ophthalmology Department 40% - 200% Higher prevalence of blindness than cities

AI Fundus Screening Algorithm

8.37M

Fundus Photos

100+ professors/3yrs

Cross labelling

30+

Diseases Recognized

2 million fundus photos

Uploaded in 2017

Architecture

UI Data Flow Storage

Web Server

Web Server Client Annotation Storage Training System Service GPU Server

DR Grading Lesion Detection General Classification Macula detection Cataract Classification Glaucoma ……

AI services: Recognition/detection/inference.

GPU Server Front-end

Computer or smart device

Nvidia

Community Screening for Elderly in 4rd-tier Cities

Disease found in 60+ yrs 2/3 Positive 15% have whole-body chronic diseases 80% did not know the disease before 90% will go to hospital

Cataract:

28%

Age-Related Macular Degeneration: Retinal Arteriosclerosis:

14% 10%

Diabetic Retinopathy:

2.1%

Screening for Working Population

Age-related Macula Degeneration: :

5%

Pathological Myopia: Probable Glaucoma:

21% Positive 10% Need to see a doctor 85% Did not know the disease before

4% 2.6%

Retinal Arteriosclerosis:

2.3%

• Prof. Li: Airdoc AI in DR screening
• Li You M.D.
• Dr. of Ophthalmology
• Professor of Medicine
• Chief Physician
• Department of Ophthalmology,

Changzheng Hospital Shanghai, China

• Prof. Li: Airdoc AI the screening of DR(Diabetic Retinopathy)

Probably the Most Famous DR Patient

What exactly is DR?

No apparent symptom in early stage Irreversible lesion Lower the risk of blindness by controlling on time Early Intervention to lower risk of glaucoma

DR Prevalence

Patients of Diabetes 110 million Prevalence of DR in Patients of Diabetes 25%－40%

• No. of Ophthalmologists 35,000
• No. of Doctors/No. of DR Patients

1/3250

DR Prevalence in Patients of Diabetes

NDR: 62.5%-75.3% NPDR: 21.4%-30.1% PDR: 3.3%-7.4% DME: 5.2% CDME: 3.5%

Romote Regions of China Need Medicine and Doctors

Cataract Operation in Village

Later Period

• f Glaucoma

TAO

Deep Learning in DR

Automatic Detection on lesions

Features of Airdoc DR

• Accuracy in DR grading
• Lesion Detection
• Seamless integration with fundus cameras

DR Patient found by Airdoc AI :Mr. Sheng

The Future of Fundus Screening

More chronic diseases are found to be related to lesions in fundus

• Senile Dementia
• Parkinson
• AIDS
• Cerebral Stroke
• Coronary Heart Disease
• Nephropathy
• Cerebral Small Vessel Disease(CSVD)

Thank You!

emma@airdoc.com