{"id":3662,"date":"2024-04-18T16:15:54","date_gmt":"2024-04-18T14:15:54","guid":{"rendered":"https:\/\/ai4healthcro.eu\/?post_type=ht_kb&p=3662"},"modified":"2024-04-19T11:15:31","modified_gmt":"2024-04-19T09:15:31","slug":"team-mediboost-wins-ai4health-cro-innovation-contest","status":"publish","type":"ht_kb","link":"https:\/\/ai4healthcro.eu\/?ht_kb=team-mediboost-wins-ai4health-cro-innovation-contest","title":{"rendered":"Team MediBoost Wins AI4Health.Cro Innovation Competition"},"content":{"rendered":"\t\t
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16 April 2024 – Team MediBoost clinched the top prize at this year’s AI4Health.Cro innovation competition, winning \u20ac5,000 for their groundbreaking application designed to predict early hospital readmissions. Showcasing a unique integration of medical expertise and computing prowess, MediBoost outperformed 27 other contenders. The competition highlights the role of artificial intelligence in tackling healthcare challenges, focusing on the issue of premature re-hospitalization, with the final round featuring the top 10 teams.<\/strong><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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At the AI4Health.Cro Annual Conference, the top three teams unveiled their AI-driven solutions to a gathering of 100 experts in AI, healthcare, and entrepreneurship.<\/p>

These teams tackled the daunting challenge of using AI to predict the risk of hospital readmissions within 30 days post-discharge\u2014a significant issue that annually costs over $25 billion in the US alone. Their tasks included developing predictive models, analyzing data qualitatively, and creating user interfaces that would allow healthcare professionals to understand and manage patient risks effectively.<\/p>

Top Teams Recognized for Innovations<\/strong><\/h2>

The awards were presented by members of the AI4Health.Cro expert team. The MediBoost<\/strong> team took first place and received prize of \u20ac5,000. The team consists of Jan Koli\u0107, Karlo Pintari\u0107 and Andrija \u0160tajduhar. Second place and \u20ac3,000 went to team Sira\u0107HC<\/strong>, consisting of Lovro Trgovec-Greif, Martin Trgovec-Greif, Roko \u0160ango, Iva Buljan and Filip Mio\u010dinovi\u0107, while third place and \u20ac1,000 were awarded to team ZMF<\/strong>, consisting of Filip \u0110erke, Zoran Antolovi\u0107 and Milan Pavlovi\u0107.<\/p>

Dr Anja Bare\u0161i\u0107, the project coordinator from the Ru\u0111er Bo\u0161kovi\u0107 Institute, expressed satisfaction with the competition’s turnout and the quality of solutions, which combined AI applications with business models.<\/p>

“Today, we witnessed pitches from some of our finest teams. I am optimistic that at least one\u00a0 startup will emerge from this talented pool, one that is dedicated to innovatively addressing a specific challenge in Croatian healthcare.”<\/p>

In a field of 28 teams, 10 of which made it to the final round, team MediBoost stood out by effectively combining their medical and computing backgrounds to develop a solution that addresses the significant financial and quality of life impact of early re-hospitalisations. The different skills and knowledge of the individual members enabled them to delegate tasks according to their strengths.<\/p>

\u201cMany thanks to Jan Koli\u0107 and Karlo Pintari\u0107 for the great teamwork, to all the other teams for their contributions and to the organisers for the challenging task that focused on the problem of predicting early hospital readmissions. The task included the creation of a predictive ML model, technical and medical interpretation as well as practical implementation and a business model,” explained Dr Andrija \u0160tajduhar from the MediBoost team.<\/p>

The team plans to further refine its predictive model, conduct additional tests and, most importantly, validate the model in a clinical setting. This collaboration aims to expand partnerships and formalise the business structure around their solution to pave the way for potential new healthcare startups.<\/p>

Ongoing Commitment and Support from AI4Health.Cro<\/strong><\/h2>

Dr Anja Bare\u0161i\u0107 explained the complexity of judging such a challenging competition and highlighted the consortium\u2019s top-class experts who have extensive experience and know-how in this field.<\/p>

Frane \u0160esni\u0107, Director of ZICER, expressed his satisfaction with the success of the competition: “The teams presented today show that with dedicated effort and the application of relevant knowledge, it is possible to achieve excellent results that improve the quality of life through improved patient care and bring economic benefits at the same time. This competition is also a valuable experience for our AI4Health.Cro consortium, as we have gained insights that will benefit us when organising future competitions.”<\/p>

As the AI4Health.Cro Centre continues to attract start-ups through such innovation competitions and support numerous others who use its services, Dr Bare\u0161i\u0107 concluded: “Our first year was very successful. To date, around fifteen start-ups have used AI4Health.Cro services and received individual programmes tailored to their specific needs, such as education, networking, access to funding or test-before-invest service. Thanks to a consortium of 16 different sectoral partners, the centre is well equipped to support these start-ups throughout their development from concept to commercial product.”<\/p>

Congratulations to all participating teams for their outstanding efforts and innovations! The AI4Health.Cro team eagerly anticipates seeing how these projects develop and contribute to more efficient healthcare solutions for patients.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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