Medecine and AI

PROGRESS IN MEDECINE AND ARTIFICIAL INTELLIGENCE

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

Table of contents

I. What's AI ?

1. History of AI 2. How it works

II. How did AI improve medecine ?

1. Improvements 2. New innovations

III. A questionnable progress

1. Positive aspects 2. Negative aspects 3. Limits

How has AI contributed in upgrading medecine ?

Timeline

1979

1997

1956

1950

Deep Blue

Foundation of the AAAI

First use of the term "AI"

Turing's test

Beat the world chess champion Garry Kasparov

Association for the Advancement of Artificial Intelligence

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

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

What is artificial intelligence? And how does it work?

· 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

"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."

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

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

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

Negative aspects

Positive 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

• 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

• · 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.

Limits

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

Conclusion

• 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