The DaT-Parkinson’s Challenge is an international data science competition that brought together teams from around the world for nearly two months to develop the most effective AI model for classifying brain scans to diagnose Parkinson’s disease (and related syndromes).

Come discover the results of this year’s competition at an event organized jointly by the French Society of Nuclear Medicine and the Health Data Platform. 

On the agenda: 

• 5:30
  p.m. Welcome reception
• 5:40 PM – 5:50
  PM Opening of the ceremony – Remarks by the President of the SFMN – Prof. Frédéric Courbon (President of the SFMN)
• 5:50 PM – 6:05
  PM From a Medical Issue to an International Challenge: the DaT Parkinson’s Challenge – Prof. Eric Guedj (APHM), Imad Bousaid, Lauriane Armand (Health Data Platform)
• 6:05 PM – 6:25
  PM Challenge Results: Key Takeaways and Announcement of Winners – Prof. Eric Guedj (APHM)
• 6:25 PM – 6:50
  PM Honoring the winning teams: presentation of the winning models
• 6:50
  PM Closing Remarks - Prof. Eric Guedj (APHM), Prof. Florent Cachin (CLCC Jean Perrin) 

These models were developed through the analysis of a previously unpublished database of more than 2,000 scintigraphic examinations—both normal and pathological—exploring the activity of the dopamine transporter (DaT), a key factor in the diagnosis of Parkinson’s syndromes. The Data Challenges are an initiative carried out as part of the France 2030 plan in partnership with the Ministerial Delegation for Digital Health, the General Secretariat for Investment, Bpifrance, and the Health Data Platform.