AI in healthcare
about the health care industry
Facts
(in Million)
AI market for healthcare applications, World
The COVID 19 pandemic caused the deaths of 15000 healthcare workers who were working on the front lines.
Distribution of the global revenue of medical technology industry in 2021, by region
WHO reports that approximately 57 countries worldwide are experiencing a deficit of 2.3 billion doctors and nurses. There is a high demand for improving healthcare accessibility.
Share of clinicians who believe in ten years' time the widespread use of digital health technologies will enable a positive transformation of healthcare, by region
AI in healthcare industry was worth around USD 1.4 billion in 2018, and is predicted to reach nearly 188 billion U.S. dollars by 2030
Application of AI in healthcare
Automatic disease diagnosis
Virtual Doctors
Epidemic Outbreak predictor
Drug Discovery
Health Tracker
Automated routine task: X-rays, data entry etc.
Targeted and personalized treatment
Medical Imaging Analysis
Challenges of implemation of AI
TRANSPARENCY
BIAS
Black-box algorithms
Discriminatorydataset
EMPATHY
PRIVACY
lack of 'heartificial' empathy
Unprotectedpatient data
Digital Transformation Infographic
林尊飞
Created on March 17, 2023
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Transcript
AI in healthcare
about the health care industry
Facts
(in Million)
AI market for healthcare applications, World
The COVID 19 pandemic caused the deaths of 15000 healthcare workers who were working on the front lines.
Distribution of the global revenue of medical technology industry in 2021, by region
WHO reports that approximately 57 countries worldwide are experiencing a deficit of 2.3 billion doctors and nurses. There is a high demand for improving healthcare accessibility.
Share of clinicians who believe in ten years' time the widespread use of digital health technologies will enable a positive transformation of healthcare, by region
AI in healthcare industry was worth around USD 1.4 billion in 2018, and is predicted to reach nearly 188 billion U.S. dollars by 2030
Application of AI in healthcare
Automatic disease diagnosis
Virtual Doctors
Epidemic Outbreak predictor
Drug Discovery
Health Tracker
Automated routine task: X-rays, data entry etc.
Targeted and personalized treatment
Medical Imaging Analysis
Challenges of implemation of AI
TRANSPARENCY
BIAS
Black-box algorithms
Discriminatorydataset
EMPATHY
PRIVACY
lack of 'heartificial' empathy
Unprotectedpatient data