Medecine and AI

PROGRESS IN MEDECINE AND ARTIFICIAL INTELLIGENCE

Antao Leonor, Gognet Claire, Laureau Eglantine, Vernon Louise, Plisson Octave

1. Positive aspects 2. Negative aspects 3. Limits

III. A questionnable progress

1. Improvements 2. New innovations

II. How did AI improve medecine ?

1. History of AI 2. How it works

I. What's AI ?

Table of contents

How has AI contributed in upgrading medecine ?

Timeline

1950

Turing's test

Alan Turing tried to create a bot able to imitate human's conversation

1956

First use of the term "AI"

John McCarthy used for the first time the term "artificial intelligence"

1979

Foundation of the AAAI

Association for the Advancement of Artificial Intelligence

1997

Deep Blue

Beat the world chess champion Garry Kasparov

· Automating Repetitive Tasks · Solving Complex Problems · Manufacturing · Finance and marketing · The transportation sector · Agriculture sector · Military · Healthcare and Medicine.

· Machine Learning for mathematics ·Neural Networks for translations and image recognition · Computer Vision for facial recognition · And Deep Learning which allows advanced AI thanks to AI

What is artificial intelligence? And how does it work?

"a branch of computer science that aims to creating machines capable of performing tasks that typically require human intelligence, through the use of algorithms, data, and computational power."

Scientist use AI to mimic cancer patient trialsProteins breakthrough thanks to AI

- Improve capacities- Reduce mistakes - Create new cures - Mimic real trials - Make experiments

Positive aspects

• increase efficiency and productivity in many sectors
• AI can work continuously without being tired
• can perform tasks that are too dangerous or difficults for humans

Negative aspects

• could lead to an increase in unemployment by eliminating jobs
• can be used for harmful activities (hacking, cyber-attacks, surveillance)
• can lead to a dependency on technology

Limits

• · A lack of understanding,
• An Absence of creativity and originality
• A data dependency and quality
• A lack of common sense
• A lack of transparency
• And low emotional intelligence.

Conclusion

• No longer a futuristic vision
• Collaborations between doctors, AI researchers
• Personalized, preventive and accessible healthcare for all
• Profound advancements

• https://medium.com/
• https://www.bew-web-agency.fr/
• https://vision-ia.tech/
• https://meng.uic.edu/
• https://www.coursera.org/
• https://www.escadrille.org/
• https://www.iso.org/fr/intelligence-artificielle/
• https://builtin.com/artificial-intelligence
• https://www.lundimatin.fr/les-limites-de-lia-pour-la-productivite
• https://blog.appines.fr/
• online.maryville.com
• tableau.com
• AAAI.org