Summary
In a bid to harness cutting-edge AI advancements, Slovenia and Austria, AI research frontrunners, united with two Widening countries, North Macedonia and Serbia, to propose a transformative mission to bridge the knowledge gap, and to propagate Generative AI expertise with the goal to meld AI into pragmatic medical contexts. Together, they are laying a foundation for a cross-border collaboration methodology that through training missions, workshops, seminars, and collaborative deep dive research would enrich minds and redefine medical practices. The collective effort, wisdom, and adaptability as a guiding principle, will dive into the core of the Large Language Models to explore the capability of transforming complex medical knowledge into valuable medical diagnoses and treatment recommendations. Through simulated real-world medical challenges, the team will resonate in the practicality of Generative AI and the specific requirements that such AI-based software would require to be implemented practically in the hospitals. Through this project the partners from the Widening countries will master coordination skills, while the research on Generative AI will alter the medical landscapes.
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More information & hyperlinks
| Web resources: | https://cordis.europa.eu/project/id/101159214 |
| Start date: | 01-09-2024 |
| End date: | 31-08-2027 |
| Total budget - Public funding: | - 1 329 875,00 Euro |
Cordis data
Original description
In a bid to harness cutting-edge AI advancements, Slovenia and Austria, AI research frontrunners, united with two Widening countries, North Macedonia and Serbia, to propose a transformative mission to bridge the knowledge gap, and to propagate Generative AI expertise with the goal to meld AI into pragmatic medical contexts. Together, they are laying a foundation for a cross-border collaboration methodology that through training missions, workshops, seminars, and collaborative deep dive research would enrich minds and redefine medical practices. The collective effort, wisdom, and adaptability as a guiding principle, will dive into the core of the Large Language Models to explore the capability of transforming complex medical knowledge into valuable medical diagnoses and treatment recommendations. Through simulated real-world medical challenges, the team will resonate in the practicality of Generative AI and the specific requirements that such AI-based software would require to be implemented practically in the hospitals. Through this project the partners from the Widening countries will master coordination skills, while the research on Generative AI will alter the medical landscapes.Status
SIGNEDCall topic
HORIZON-WIDERA-2023-ACCESS-02-01Update Date
19-09-2024
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