[Ludovica Durst]

Collaborative session notes: https://docs.google.com/document/d/1_bZycbthDmATn24iKaV-atMTiBW0rIxiFceIxfyMvc8/edit?usp=sharing
 

Brief introduction to the HDIG
Guests Presentation on Hospitals’experiences on AI applications in Health and data sharing
Q&A and discussion of topics presented
Next steps

Additional links to informative material
• Group page: https://rd-alliance.org/groups/health-data.html
• Case statement: https://www.rd-alliance.org/group/health-data/case-statement/health-data.html  
• HDIG Sessions Presentations @RDA Plenaries (HDIG File Repository): https://www.rd-alliance.org/node/50708/repository
 
REMOTE ACCESS INSTRUCTION
 
Please join my meeting from your computer, tablet or smartphone. 
https://global.gotomeeting.com/join/634210829 
 
You can also dial in using your phone. 
United States: +1 (224) 501-3216 
 
Access Code: 634-210-829 
 
More phone numbers 

Australia: +61 2 9087 3604 
Austria: +43 7 2081 5427 
Belgium: +32 28 93 7018 
Canada: +1 (647) 497-9410 
Denmark: +45 32 72 03 82 
Finland: +358 923 17 0568 
France: +33 170 950 594 
Germany: +49 692 5736 7317 
Ireland: +353 15 360 728 
Italy: +39 0 230 57 81 42 
Netherlands: +31 207 941 377 
New Zealand: +64 9 280 6302 
Norway: +47 21 93 37 51 
Spain: +34 932 75 2004 
Sweden: +46 853 527 836 
Switzerland: +41 225 4599 78 
United Kingdom: +44 330 221 0088 
 

New to GoToMeeting? Get the app now and be ready when your first meeting starts: 
https://global.gotomeeting.com/install/634210829 

Avoid conflict with the following group (1)
Blockchain Applications in Health WG

Avoid conflict with the following group (3)
Life Science Data Infrastructures IG

Group chair serving as contact person
Ludovica Durst

Meeting objectives
The landscape of Artificial Intelligence (AI) future applications in Health appears very promising, providing useful and time-saving tools for practitioners and clinicians in their daily medical activities. AI can in fact work as a “second pair of eyes” and an “additional brain” in a myriad of activities ranging from medical image interpretation to decision support; it can represent a knowledge resource to face the exponentially increasing amount of biomedical knowledge; it can help organize and facilitate the care coordination of chronic and complex diseases in many of the patients especially as they have more relevant data from disparate sources such as genomic sequencing and wearable technology; and AI can be used to verify the publication of biomedical research.
Moreover, AI applications can be combined with high-level security measures for generating new, privacy-preserving data, such in the case of the so-called “synthetic data”.
Following the discussion inaugurated at P13 on “Data sharing challenges in biomedical Artificial Intelligence (AI)” this session aims at presenting AI opportunities and challenges.
The first presentation will discuss AI in medicine by presenting specific use cases coming from some selected experiences in famous Hospitals and Clinical Centres, such as Ospedale Pediatrico Bambino Gesù (OPBG), Queen Mary University of London (QMUL), Artificial Intelligence in Medicine and Healthcare (AIMed). A second use case will present using AI as a pre-peer reviewer of biomedical publications. The session also aims at moving a step forward by discussing the future possibilities of applying innovative solutions, such as synthetic data, in these realities.

Privacy Policy
1

Discussion