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CORDIS - Forschungsergebnisse der EU
CORDIS

Bridging Research Institutions to Catalyze Generative AI Adoption by the Health Sector in the Widening Countries

CORDIS bietet Links zu öffentlichen Ergebnissen und Veröffentlichungen von HORIZONT-Projekten.

Links zu Ergebnissen und Veröffentlichungen von RP7-Projekten sowie Links zu einigen Typen spezifischer Ergebnisse wie Datensätzen und Software werden dynamisch von OpenAIRE abgerufen.

Leistungen

Data Management Plan (öffnet in neuem Fenster)

D2.1. Data Management Plan delivered by FCSE at M6 and regularly updated at mid of the project and at the end of the project.

Report of training, STSEs, and summer school activities in period 1. (öffnet in neuem Fenster)

D4.1: Report of training, STSEs, and summer school activities in period 1 will be delivered by JSI at M12. It will include the results from the training/workshop activities in year 1, as well as the STSEs and the summer school realized in the first year. The report will contain information about the actual topics covered, the organization assessment, the number of participants and the lessons learned.

Plan for dissemination, communication and exploitation activities. (öffnet in neuem Fenster)

D2.2 Plan for dissemination, communication and exploitation activities will be delivered by FCSE at M6 and will be updated at least once before the end of the project. The last version of the plan before the end of the project must include the dissemination and exploitation activities that the consortium plan to implement in a period up to 4 years after the end the project. The European Commission offers various free-of-charge services which we will use to support our dissemination and exploitation activities, along the project website and the knowledge management system that will be publicly available.

Report on human evaluation framework created for benchmarking. (öffnet in neuem Fenster)

D2.5 Report on human evaluation framework created for benchmarking will be delivered by FMN at M6 and it represents a benchmark through which the human evaluators will ensure contextual relevance and appropriateness of the information provided by the LLMs. This deliverable will be under direct supervision of the external independent Ethics Advisor.

Report on the neurology-driven scenarios created. (öffnet in neuem Fenster)

D7.1: Report on the neurology-driven scenarios created will be delivered by FMN and will represent a significant achievement towards establishing data base for fine-tuning LLMs as part of the research component in the project.

Detailed training curriculum and talent mobility programs. (öffnet in neuem Fenster)

D2.4: Detailed training curriculum and talent mobility programs will be delivered by JSI in M6 and will include the programs for the training/workshop missions, the programs for the STSEs exchange, and the programs for the summer schools that will be realised in WP4, WP5, and WP6. Given the duration of the project, those programs will be updated at least once and will remain publicly available at the project website.

Report on the upgraded infrastructure and knowledge management repository establishment. (öffnet in neuem Fenster)

D3.1: Report on the upgraded infrastructure and knowledge management repository establishment will be delivered by TU GRAZ at M12. This report will contain the results of the infrastructure assessment against state-of-the-art done by our EU partners and will provide the outcome of the eventual upgrade. Also as part of our Open Science practises, this report will include the establishment of the knowledge management system as additional module to the project website.

Datasets collected for the research. (öffnet in neuem Fenster)

D7.2: Datasets collected for the research will be delivered by FMN at M17 and will represent organized and structured sources for neurology-specific tasks given the existing databases in Part B of the proposal and beyond - collected during the project activities.

Website establishment (öffnet in neuem Fenster)

D2.3: Website establishment will be delivered by FCSE at M6. It will be regularly maintained and updated until the end of the project and will remain publicly available for at least 4 years after finishing the project. All the public deliverables and research produced within the project will be visible at the website.

Veröffentlichungen

Testing ChatGPT’s Performance on Medical Diagnostic Tasks (öffnet in neuem Fenster)

Veröffentlicht in: Proceedings of Chat Gpt in Medicine 2024, 2024, ISSN 2630-371X
Herausgeber: Jožef Stefan Instutute
DOI: 10.70314/IS.2024.CHTM.7

Leveraging Federated Learning for Secure Transfer and Deployment of ML Models in Healthcare (öffnet in neuem Fenster)

Autoren: Zlate Dodevski, Tanja Pavleska, Vladimir Trajkovik
Veröffentlicht in: Information Society 2024 - ChatGPT in medicine, 2026
Herausgeber: Jozef Stefan Institute
DOI: 10.70314/IS.2024.CHTM.5

Use and Limitations of ChatGPT in Mental Health Disorders (öffnet in neuem Fenster)

Autoren: null null, Jovana Petrović†, Iva Binić, null null, Maša Vacev, null null, Stevo Lukić†, null null
Veröffentlicht in: IS 2024 ChatGPT in Medicine, 2025, ISSN 2630-371X
Herausgeber: Jozef Stefan Institute
DOI: 10.70314/IS.2024.CHTM.6

Meeting Cultural and Linguistic Demands to Accommodate Fine-Tuned LLMs to Local Medical Customs and Patient Communication (öffnet in neuem Fenster)

Veröffentlicht in: Proceedings of Chat Gpt in Medicine 2024, 2024, ISSN 2630-371X
Herausgeber: Jožef Stefan Instutute
DOI: 10.70314/IS.2024.CHTM.11

HomeDOCtor App: Integrating Medical Knowledge into GPT for Personal Health Counseling (öffnet in neuem Fenster)

Veröffentlicht in: Proceedings of Chat Gpt in Medicine 2024, 2024, ISSN 2630-371X
Herausgeber: Jožef Stefan Instutute
DOI: 10.70314/IS.2024.CHTM.8

Evaluating Large Language Models for Privacy-Sensitive Healthcare Applications (öffnet in neuem Fenster)

Autoren: Tadej Horvat; Žan Roštan; Jakob Jaš; Matjaž Gams
Veröffentlicht in: Information Society – IS 2025 Proceedings, Ausgabe K, 2025, ISSN 2630-371X
Herausgeber: Jožef Stefan Institute
DOI: 10.70314/IS.GPTZDRAVJE.5

IQ Progression of Large Language Models (öffnet in neuem Fenster)

Veröffentlicht in: AIHELATHCARE 2025, 2025, ISSN 2630-371X
Herausgeber: Jozef Stefan Institute
DOI: 10.70314/IS.2025.GPTZDRAVJE.6

Extraction of Knowledge Representations for Reasoning from Medical Questionnaires (öffnet in neuem Fenster)

Veröffentlicht in: AIHELATHCARE 2025, 2025, ISSN 2630-371X
Herausgeber: Jozef Stefan Institute
DOI: 10.70314/IS.2025.GPTZDRAVJE.7

Using Combinatorial Testing for Prompt Engineering of Large Language Models in Medicine (öffnet in neuem Fenster)

Veröffentlicht in: Proceedings of Chat Gpt in Medicine 2024, 2024, ISSN 2630-371X
Herausgeber: Jožef Stefan Instutute
DOI: 10.70314/IS.2024.CHTM.10

Exploring Transformer Models for EMG Signal Classification: A Case Study in ALS Detection

Autoren: Mihail Gjorgjiev, Kostadin Mishev, Monika Simjanoska Misheva
Veröffentlicht in: 2025
Herausgeber: Faculty of Computer Science and Engineering, Skopje, N. Macedonia,

Use and Limitations of ChatGPT in Mental Health Disorders (öffnet in neuem Fenster)

Autoren: Jovana Petrović, Iva Binić, Maša Vacev, Stevo Lukić
Veröffentlicht in: Information Society 2024 - ChatGPT in medicine, 2026
Herausgeber: Jozef Stefan Institute
DOI: 10.70314/IS.2024.CHTM.6

Extraction of Knowledge Representations for Reasoning from Medical Questionnaires (öffnet in neuem Fenster)

Autoren: Emir Mujić, Alexander Perko, Franz Wotava
Veröffentlicht in: Information Society 2025 - AI in Healthcare, 2026
Herausgeber: Jozef Stefan Institute
DOI: 10.70314/IS.2025.GPTZDRAVJE.7

Meeting Cultural and Linguistic Demands to Accommodate Fine-Tuned LLMs to Local Medical Customs and Patient Communication (öffnet in neuem Fenster)

Autoren: Gordana Petrovska Dojchinovska, Monika Simjanovska Misheva, Kostadin Mishev
Veröffentlicht in: Information Society 2024 - ChatGPT in medicine, 2026
Herausgeber: Jozef Stefan Institute
DOI: 10.70314/IS.2024.CHTM.11

Large Language Models for Predictive Neurology: A Neurogenomic and Neurogenetic Perspective

Autoren: Djansel Bukovec, Blagojche Gjorgjioski, Kostadin Mishev, Monika Simjanoska Misheva
Veröffentlicht in: 2025
Herausgeber: Faculty of Computer Science and Engineering, Skopje, N. Macedonia

Leveraging Federated Learning for Secure Transfer and Deployment of ML Models in Healthcare (öffnet in neuem Fenster)

Veröffentlicht in: Proceedings of Chat Gpt in Medicine 2024, 2024, ISSN 2630-371X
Herausgeber: Jožef Stefan Instutute
DOI: 10.70314/IS.2024.CHTM.5

IQ Progression of Large Language Models (öffnet in neuem Fenster)

Veröffentlicht in: Information Society 2025 - AI in Healthcare, 2026
Herausgeber: Jozef Stefan Institute
DOI: 10.70314/IS.2025.GPTZDRAVJE.6

Evaluating the Accuracy and Quality of ChatGPT-4o Respones to Patient questions on Reddit (öffnet in neuem Fenster)

Veröffentlicht in: AIHELATHCARE 2025, 2025
Herausgeber: Jozef Stefan Institute
DOI: 10.70314/IS.2025.GPTZDRAVJE.4

HomeDOCtor App: Integrating Medical Knowledge into GPT for Personal Health Counseling (öffnet in neuem Fenster)

Autoren: Matic Zadobovšek, Primož Kocuvan, Matjaž Gams
Veröffentlicht in: Information Society 2024 - ChatGPT in medicine, 2026
Herausgeber: Jozef Stefan Institute
DOI: 10.70314/IS.2024.CHTM.8

Standards for the use of Large Language Models medical diagnosis (öffnet in neuem Fenster)

Veröffentlicht in: Proceedings of Chat Gpt in Medicine 2024, 2024, ISSN 2630-371X
Herausgeber: Jožef Stefan Instutute
DOI: 10.70314/IS.2024.CHTM.9

Beyond Accuracy: A Multi-Dimensional Evaluation Framework for Medical LLM Applications (M-LEAF) (öffnet in neuem Fenster)

Veröffentlicht in: AIHELATHCARE 2025, 2025, ISSN 2630-371X
Herausgeber: Jozef Stefan Institute
DOI: 10.70314/IS.2025.GPTZDRAVJE.2

Testing ChatGPT’s Performance on Medical Diagnostic Tasks (öffnet in neuem Fenster)

Autoren: Alexander Perko, Franz Wotawa
Veröffentlicht in: Information Society 2024 - ChatGPT in medicine, 2026
Herausgeber: Jozef Stefan Institute
DOI: 10.70314/IS.2024.CHTM.7

Using Combinatorial Testing for Prompt Engineering of LLMs in Medicine (öffnet in neuem Fenster)

Autoren: Perko, Alexander; Nica, Iulia; Wotawa, Franz
Veröffentlicht in: Proceedings of Chat Gpt in Medicine 2024, 2024, ISSN 2630-371X
Herausgeber: Jožef Stefan Instutute
DOI: 10.70314/IS.2024.CHTM.10

Standards for Use of LLM in Medical Diagnosis (öffnet in neuem Fenster)

Autoren: Mihailo Svetozarević, Isidora Janković, Sonja Janković
Veröffentlicht in: Information Society 2024 - ChatGPT in medicine, 2026
Herausgeber: Jozef Stefan Institute
DOI: 10.70314/IS.2024.CHTM.9

Unraveling genetic predisposition and oxidative stress in vitiligo development and the role of artificial intelligence (AI) in diagnosis and management (öffnet in neuem Fenster)

Autoren: Hristina Kocić; Torello Lotti; Tatjana Jevtović-Stoimenov; Uwe Wollina; Yan Valle; Stevo Lukić; Aleksandra Klisić
Veröffentlicht in: Journal of Medical Biochemistry, Ausgabe Vol. 44, no. 4, 2025, ISSN 1452-8266
Herausgeber: Society of Medical Biochemists of Serbia, Belgrade
DOI: 10.5937/JOMB0-56661

Data in Brief (öffnet in neuem Fenster)

Autoren: Dobreva, Jovana; Karasmanakis, Ivana; Ivanisevic, Filip; Horvat, Tadej; Kitanovski, Dimitar; Gams, Matjaz; Mishev, Kostadin; Simjanoska Misheva, Monika
Veröffentlicht in: Data in Brief, Ausgabe Volume 63, 2025, ISSN 2352-3409
Herausgeber: Elsevier
DOI: 10.1016/J.DIB.2025.112146

Brain Sciences (öffnet in neuem Fenster)

Autoren: Jovana Dobreva; Monika Simjanoska Misheva; Kostadin Mishev; Dimitar Trajanov; Igor Mishkovski
Veröffentlicht in: Brain Sciences, Ausgabe Vol. 15, no. 5 p. 523, 2025, ISSN 2076-3425
Herausgeber: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/BRAINSCI15050523

Prompt-to-Pill: Multi-Agent Drug Discovery and Clinical Simulation Pipeline (öffnet in neuem Fenster)

Autoren: Ivana Vichentijevikj, Kostadin Mishev, Monika Simjanoska Misheva
Veröffentlicht in: Bioinformatics Advances, 2025, ISSN 2635-0041
Herausgeber: Oxford University Press (OUP)
DOI: 10.1093/BIOADV/VBAF323

RAGCare-QA: A benchmark dataset for evaluating retrieval-augmented generation pipelines in theoretical medical knowledge (öffnet in neuem Fenster)

Autoren: Jovana Dobreva, Ivana Karasmanakis, Filip Ivanisevic, Tadej Horvat, Dimitar Kitanovski, Matjaz Gams, Kostadin Mishev, Monika Simjanoska Misheva
Veröffentlicht in: Data in Brief, Ausgabe 63, 2025, ISSN 2352-3409
Herausgeber: Elsevier BV
DOI: 10.1016/J.DIB.2025.112146

Abstract (öffnet in neuem Fenster)

Veröffentlicht in: Epilepsia, Ausgabe 65, 2024, ISSN 0013-9580
Herausgeber: Wiley
DOI: 10.1111/EPI.18151

Evaluating a Nationally Localized AI Chatbot for Personalized Primary Care Guidance: Insights from the HomeDOCtor Deployment in Slovenia (öffnet in neuem Fenster)

Autoren: Matjaž Gams; Tadej Horvat; Žiga Kolar; Primož Kocuvan; Kostadin Mishev; Monika Simjanoska Misheva
Veröffentlicht in: Healthcare, Ausgabe 13(15), 1843, 2025, ISSN 2227-9032
Herausgeber: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/HEALTHCARE13151843

Exploring the Potential of Topological Data Analysis for Explainable Large Language Models: A Scoping Review (öffnet in neuem Fenster)

Autoren: Petar Sekuloski, Dimitar Kitanovski, Igor Goshev, Kostadin Mishev, Monika Simjanoska Misheva, Vesna Dimitrievska Ristovska
Veröffentlicht in: Mathematics, Ausgabe 14, 2026, ISSN 2227-7390
Herausgeber: MDPI AG
DOI: 10.3390/MATH14020378

Proteomics (öffnet in neuem Fenster)

Autoren: Riste Stojanov; Milos Jovanovik; Sasho Gramatikov; Igor Mishkovski; Eftim Zdravevski; Darko Sasanski; Zorica Karapancheva; Goce Spasovski; Ivona Vasileska; Tome Eftimov; Wu Zhuojun; Joachim Jankowski; Dimitar Trajanov
Veröffentlicht in: PROTEOMICS, Ausgabe Volume25, Ausgabe11-12, 2025, ISSN 1615-9853
Herausgeber: John Wiley & Sons Ltd.
DOI: 10.1002/PMIC.202400135

AI Act Compliance within the MyHealth@EU Framework: A Tutorial (Preprint) (öffnet in neuem Fenster)

Autoren: Monika Simjanoska Misheva, Dragan Shahpaski, Jovana Dobreva, Djansel Bukovec, Blagojche Gjorgjioski, Marjan Nikolov, Dalibor Frtunikj, Petre Lameski, Azir Aliu, Kostadin Mishev, Matjaž Gams
Veröffentlicht in: Journal of Medical Internet Research, 2025, ISSN 1438-8871
Herausgeber: JMIR Publications Inc.
DOI: 10.2196/81184

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