" The Artificial Intelligence revolution in Medicine: technology, risks, applications and implications | Université d'Orléans

Université d'Orléans

The Artificial Intelligence revolution in Medicine: technology, risks, applications and implications

25/09/2018 - 17:30 - 25/09/2018 - 18:30

Organisateurs: RTR image

Nom du contact: Rachid Jennane

Courriel du contact: Rachid.Jennane@univ-orleans.fr

Lieu: Amphi Turing, Polytech Galilée, Université d'Orléans

par

Dr. Oge Marques

Professor of Computer Science and Engineering at the College of Engineering and Computer Science and, by courtesy, Professor of Information Technology and Operations Management at the College of Business, at Florida Atlantic University (FAU) (Boca Raton, Florida, USA).

ABSTRACT:

The field of artificial intelligence (AI) has experienced a revival in recent years, thanks to advancements in software and hardware and the emergence of a set of techniques collectively known as deep learning, which have enabled better-than-human performance in many challenging tasks, including visual object recognition and speech understanding.

One of the richest fields for AI applications is healthcare, where hundreds of companies, from startups to technology behemoths, are working on AI-powered solutions to multiple problems, such as: drug discovery, in-patient care and hospital management, patient data and risk analytics, lifestyle management and monitoring (using wearable devices), mental health, nutrition, and – last, but not least – medical imaging and diagnostics.

In the field of medical image analysis, many recent works by world-renowned research teams have performed at a level comparable to highly trained human experts, prompting questions as to whether (or how soon) such systems could replace the human radiologist. Similar concerns exist in other fields of medicine and healthcare, due to the disruptive potential of AI technologies.

In this seminar I provide an overview of the current state of AI in medicine, with emphasis on the recent impact of increasingly popular deep learning techniques on outstanding problems in medical image analysis.

Outline:

Intended audience and expected background knowledge: students, researchers, and practitioners interested in (medical) image analysis, artificial intelligence and/or machine learning.

BIOGRAPHICAL INFORMATION:

Oge Marques, PhD is Professor of Computer Science and Engineering at the College of Engineering and Computer Science and, by courtesy, Professor of Information Technology and Operations Management at the College of Business, at Florida Atlantic University (FAU) (Boca Raton, Florida, USA). He is Tau Beta Pi Eminent Engineer, ACM Distinguished Speaker, and the author of more than 100 publications in the area of intelligent processing of visual information – which combines the fields of image processing, computer vision, image retrieval, machine learning, serious games, and human visual perception –, including the textbook “Practical Image and Video Processing Using MATLAB” (Wiley-IEEE Press). Professor Marques is Senior Member of both the IEEE (Institute of Electrical and Electronics Engineers) and the ACM (Association for Computing Machinery) and member of the honor societies of Sigma Xi, Phi Kappa Phi and Upsilon Pi Epsilon. He has more than 30 years of teaching and research experience in different countries (USA, Austria, Brazil, India, Spain, Serbia, France, and the Netherlands).

View profile and additional information at: http://ogemarques.com/

Plan d'accès

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Amphi Turing, Polytech Galilée, Université d'Orléans
12 rue de Blois
45067 Orléans cedex 2