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

Informations projet

ChatMED

N° de convention de subvention: 101159214

DOI

10.3030/101159214

Date de signature de la CE 18 Avril 2024

Date de début 1 Septembre 2024

Date de fin 31 Août 2027

Financé au titre de

• Widening participation and spreading excellence

Coût total

Aucune donnée

Contribution de l’UE

€ 1 329 875,00

Coordonné par

Ss. CYRIL AND METHODIUS UNIVERSITY IN SKOPJE
North Macedonia

CORDIS fournit des liens vers les livrables publics et les publications des projets HORIZON.

Les liens vers les livrables et les publications des projets du 7e PC, ainsi que les liens vers certains types de résultats spécifiques tels que les jeux de données et les logiciels, sont récupérés dynamiquement sur OpenAIRE .

Livrables

Data Management Plan (1)

Data Management Plan

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.

Documents, reports (6)

Report of training, STSEs, and summer school activities in period 1.

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.

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.

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.

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.

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.

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.

Data sets, microdata, etc (1)

Datasets collected for the research.

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.

Websites, patent fillings, videos etc. (1)

Website establishment

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.

Publications

Conference proceedings (23)

Testing ChatGPT’s Performance on Medical Diagnostic Tasks

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

Leveraging Federated Learning for Secure Transfer and Deployment of ML Models in Healthcare

Auteurs: Zlate Dodevski, Tanja Pavleska, Vladimir Trajkovik
Publié dans: Information Society 2024 - ChatGPT in medicine, 2026
Éditeur: Jozef Stefan Institute
DOI: 10.70314/IS.2024.CHTM.5

Use and Limitations of ChatGPT in Mental Health Disorders

Auteurs: null null, Jovana Petrović†, Iva Binić, null null, Maša Vacev, null null, Stevo Lukić†, null null
Publié dans: IS 2024 ChatGPT in Medicine, 2025, ISSN 2630-371X
Éditeur: 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

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

HomeDOCtor App: Integrating Medical Knowledge into GPT for Personal Health Counseling

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

Evaluating Large Language Models for Privacy-Sensitive Healthcare Applications

Auteurs: Tadej Horvat; Žan Roštan; Jakob Jaš; Matjaž Gams
Publié dans: Information Society – IS 2025 Proceedings, Numéro K, 2025, ISSN 2630-371X
Éditeur: Jožef Stefan Institute
DOI: 10.70314/IS.GPTZDRAVJE.5

IQ Progression of Large Language Models

Publié dans: AIHELATHCARE 2025, 2025, ISSN 2630-371X
Éditeur: Jozef Stefan Institute
DOI: 10.70314/IS.2025.GPTZDRAVJE.6

Extraction of Knowledge Representations for Reasoning from Medical Questionnaires

Publié dans: AIHELATHCARE 2025, 2025, ISSN 2630-371X
Éditeur: Jozef Stefan Institute
DOI: 10.70314/IS.2025.GPTZDRAVJE.7

Using Combinatorial Testing for Prompt Engineering of Large Language Models in Medicine

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

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

Auteurs: Mihail Gjorgjiev, Kostadin Mishev, Monika Simjanoska Misheva
Publié dans: 2025
Éditeur: Faculty of Computer Science and Engineering, Skopje, N. Macedonia,

Use and Limitations of ChatGPT in Mental Health Disorders

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

Extraction of Knowledge Representations for Reasoning from Medical Questionnaires

Auteurs: Emir Mujić, Alexander Perko, Franz Wotava
Publié dans: Information Society 2025 - AI in Healthcare, 2026
Éditeur: 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

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

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

Auteurs: Djansel Bukovec, Blagojche Gjorgjioski, Kostadin Mishev, Monika Simjanoska Misheva
Publié dans: 2025
Éditeur: Faculty of Computer Science and Engineering, Skopje, N. Macedonia

Leveraging Federated Learning for Secure Transfer and Deployment of ML Models in Healthcare

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

IQ Progression of Large Language Models

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

Evaluating the Accuracy and Quality of ChatGPT-4o Respones to Patient questions on Reddit

Publié dans: AIHELATHCARE 2025, 2025
Éditeur: Jozef Stefan Institute
DOI: 10.70314/IS.2025.GPTZDRAVJE.4

HomeDOCtor App: Integrating Medical Knowledge into GPT for Personal Health Counseling

Auteurs: Matic Zadobovšek, Primož Kocuvan, Matjaž Gams
Publié dans: Information Society 2024 - ChatGPT in medicine, 2026
Éditeur: Jozef Stefan Institute
DOI: 10.70314/IS.2024.CHTM.8

Standards for the use of Large Language Models medical diagnosis

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

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

Publié dans: AIHELATHCARE 2025, 2025, ISSN 2630-371X
Éditeur: Jozef Stefan Institute
DOI: 10.70314/IS.2025.GPTZDRAVJE.2

Testing ChatGPT’s Performance on Medical Diagnostic Tasks

Auteurs: Alexander Perko, Franz Wotawa
Publié dans: Information Society 2024 - ChatGPT in medicine, 2026
Éditeur: Jozef Stefan Institute
DOI: 10.70314/IS.2024.CHTM.7

Using Combinatorial Testing for Prompt Engineering of LLMs in Medicine

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

Standards for Use of LLM in Medical Diagnosis

Auteurs: Mihailo Svetozarević, Isidora Janković, Sonja Janković
Publié dans: Information Society 2024 - ChatGPT in medicine, 2026
Éditeur: Jozef Stefan Institute
DOI: 10.70314/IS.2024.CHTM.9

Peer reviewed articles (10)

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

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

Data in Brief

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

Brain Sciences

Auteurs: Jovana Dobreva; Monika Simjanoska Misheva; Kostadin Mishev; Dimitar Trajanov; Igor Mishkovski
Publié dans: Brain Sciences, Numéro Vol. 15, no. 5 p. 523, 2025, ISSN 2076-3425
Éditeur: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/BRAINSCI15050523

Prompt-to-Pill: Multi-Agent Drug Discovery and Clinical Simulation Pipeline

Auteurs: Ivana Vichentijevikj, Kostadin Mishev, Monika Simjanoska Misheva
Publié dans: Bioinformatics Advances, 2025, ISSN 2635-0041
Éditeur: Oxford University Press (OUP)
DOI: 10.1093/BIOADV/VBAF323

RAGCare-QA: A benchmark dataset for evaluating retrieval-augmented generation pipelines in theoretical medical knowledge

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

Abstract

Publié dans: Epilepsia, Numéro 65, 2024, ISSN 0013-9580
Éditeur: Wiley
DOI: 10.1111/EPI.18151

Evaluating a Nationally Localized AI Chatbot for Personalized Primary Care Guidance: Insights from the HomeDOCtor Deployment in Slovenia

Auteurs: Matjaž Gams; Tadej Horvat; Žiga Kolar; Primož Kocuvan; Kostadin Mishev; Monika Simjanoska Misheva
Publié dans: Healthcare, Numéro 13(15), 1843, 2025, ISSN 2227-9032
Éditeur: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/HEALTHCARE13151843

Exploring the Potential of Topological Data Analysis for Explainable Large Language Models: A Scoping Review

Auteurs: Petar Sekuloski, Dimitar Kitanovski, Igor Goshev, Kostadin Mishev, Monika Simjanoska Misheva, Vesna Dimitrievska Ristovska
Publié dans: Mathematics, Numéro 14, 2026, ISSN 2227-7390
Éditeur: MDPI AG
DOI: 10.3390/MATH14020378

Proteomics

Auteurs: 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
Publié dans: PROTEOMICS, Numéro Volume25, Numéro11-12, 2025, ISSN 1615-9853
Éditeur: John Wiley & Sons Ltd.
DOI: 10.1002/PMIC.202400135

AI Act Compliance within the MyHealth@EU Framework: A Tutorial (Preprint)

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