The University Diploma in Artificial Intelligence in Health

The digital revolution is multiplying the capacity for analysis and exploitation of data available to healthcare establishments.

For the past few years, it has resulted in the creation of health data warehouses (EDS) capable of securely and anonymously collecting the data produced during the care of patients for care and research.

Given the strategic importance and the challenges for the patient, the Lille University Hospital installed its own EDS with the ambition of allowing access to quality data in order to answer research questions in an optimized manner.

The data deposited in this EDS is used for several purposes such as research, improvement of the quality of care and medical-economic analysis. Ultimately, the EDS will constitute a data source made available to the regional ecosystem and experts in the field of artificial intelligence.

include - Le projet

In addition, the creation of an EDS constitutes a founding milestone in the commitment of the Lille University Hospital for the creation of the 21st century university hospital connected with its patients as well as health professionals in the city or other establishments. health.

This is for the Lille University Hospital, in partnership with the University of Lille and INRIA, to position Lille as a French center of excellence for the exploitation of big data in health.

Dr Grégoire Ficheur

Dr Vincent Sobanski

  • Understand the principle of the algorithms underlying the technologies embedding artificial intelligence tools
  • Know the methods of these new diagnostic or decision-making tools
  • Allow the researcher to know the right contacts for research projects using artificial intelligence methods

Health actors who can demonstrate a master’s level or equivalent:

  • Health professionals
  • Teachers and teacher-researchers
  • Internal medicine, pharmacy or odontology
  • Employees of the private sector or self-employed in the health industry

Calendar :

  • Seminar 1 (big data in health: introduction, data and tools): November 14 and 15, 2019
  • Seminar 2 (automatic natural language processing): December 19 and 20, 2019
  • Seminar 3 (doctor / RN relationship): February 6 and 7, 2020
  • Seminar 4 (deep learning for image processing): March 5 and 6, 2020
  • Seminar 5 (bioinformatics and omic data analysis): April 2 and 3, 2020
  • Seminar 6 (datathon / project seminar): June 5 and 6, 2020

Hours: Thursday: 9:00 a.m. to 12:30 p.m. / 1:30 p.m. to 5:30 p.m. then conference from 6:30 p.m. to 8:30 p.m. Friday: 9:00 a.m. to 12:30 p.m. / 1:30 to 5:30 p.m.
See the posters of the conferences

Location: Faculty of Medicine / Training center (classroom) INCLUDED: 1st floor Institut Coeur-Poumon – CHU de Lille

Student: 400 euros

Individual: 1200 euros

Employer support : 1200 euros

CV and cover letter to be sent to the Directors of the diploma.

Organization: Six 2-day seminars (17 hours per seminar) taking place on Thursday and Friday (with the exception of seminar 6) for a total of 102 hours.

Validation:

1) Realization of a project during seminar 6 (datathon) noted out of 10.

2) Final exam in the form of multiple choice questions noted on 10. The sum of the notes 1) and 2) must be greater than or equal to 10 to validate the training.

3) Regular attendance at lessons. The remedial session in September will only relate to the MCQ part (it is added to the grade obtained in June during seminar 6)

promotion 2019-2020

class 2019-2020