Artificial intelligence Supporting CAncer Patients across Europe

Rezultaty

Communication, dissemination, impact creation, exploitation & standardisation report

This deliverable reports on workplan tasks T5.1 and T5.2.

Positioning ASCAPE’s open AI infrastructure in the after cancer-care Iron Triangle of Health

This deliverable reports on workplan task T1.1.

Report on the Involvement, Awareness and Participation of ASCAPE

This deliverable reports on workplan task T53

Final business model, long-term sustainability and stakeholder engagement report

This deliverable reports on workplan tasks T51 and T52

ASCAPE Data Determinants and piloting validations

This deliverable reports on workplan tasks T1.2 and T1.3.

ML/DL Training and Evaluation Report-V2(Final)

This deliverable V2Final reports on workplan task T23

ML/DL Training and Evaluation Report-V1

This deliverable (V1) reports on workplan task T2.3.

ML/DL algorithms and Model Analysis and Report

This deliverable reports on workplan task T22

Open Research Data Pilot Contribution

Report on the ASCAPE contribution towards the Open Research Data Pilot, documenting, on the one hand, the demonstrators' data that will be generated and published, and, on the other hand, the ASCAPE's scientific results (e.g. open access scientific publications).

Cancer-care predictive analytics and decision-making services: proof of concept demonstration

This deliverable reports on workplan tasks T3.1, T3.2, T3.3 and T3.4.

Personalized interventions and user-centric visualizations

This deliverable reports on workplan task T4.1.

Project website and visual identity

This deliverable reports on workplan task T5.1

Publikacje

Quality medical data management within an open AI architecture – cancer patients case

Autorzy: Mirjana Ivanovic; Serge Autexier; Miltiadis Kokkonidis; Johannes Rust
Opublikowane w: CONNECTION SCIENCE, Numer 9, 2023, ISSN 1360-0494
Wydawca: Taylor & Francis
DOI: 10.1080/09540091.2023.2194581

MP50-01 ARTIFICIAL INTELLIGENCE SUPPORTING CANCER PATIENTS ACROSS EUROPE- THE ASCAPE PROJECT

Autorzy: Lazaros Tzelves; Ioannis M. Varkarakis; Athanasios Anastasiou; Andreas Skolarikos; Ioannis Manolitsis; Antonios Valachis; Serge Autexier; Lucian Mihai Itu; Mirjana Ivanović; Thanos Kosmidis; Konstantinos Perakis; Johannes Rust; Paris Kosmidis
Opublikowane w: Journal of Urology, Numer 16, 2021, ISSN 0022-5347
Wydawca: Elsevier BV
DOI: 10.1097/ju.0000000000002076.01

Privacy Preserving Classification of EEG Data Using Machine Learning and Homomorphic Encryption

Autorzy: Andreea Bianca Popescu; Ioana Antonia Taca; Cosmin Nita; Anamaria Vizitiu; Robert Demeter; Constantin Suciu; Lucian Mihai Itu
Opublikowane w: Applied Sciences, volume 11, issue 16, Numer 6, 2021, ISSN 2076-3417
Wydawca: MPDI
DOI: 10.3390/app11167360

Framework for Privacy-Preserving Wearable Health Data Analysis: Proof-of-Concept Study for Atrial Fibrillation Detection

Autorzy: Anamaria Vizitiu; Cosmin-Ioan Nita; Radu Miron Toev; Tudor Suditu; Constantin Suciu; Lucian Mihai Itu
Opublikowane w: Applied Sciences, Vol 11, Iss 9049, p 9049 (2021), Numer 15, 2021, ISSN 2076-3417
Wydawca: MDPI
DOI: 10.3390/app11199049

Successful Integration of EN/ISO 13606–Standardized Extracts From a Patient Mobile App Into an Electronic Health Record: Description of a Methodology

Autorzy: Frid S, Fuentes Expósito MA, Grau-Corral I, Amat-Fernandez C, Muñoz Mateu M, Pastor Duran X, Lozano-Rubí R
Opublikowane w: JMIR Medical Informatics, Numer Vol 10 , No 10 (2022) :October, 2022, ISSN 2291-9694
Wydawca: JMIR Publications
DOI: 10.2196/40344

Artificial intelligence supporting cancer patients across Europe-The ASCAPE project.

Autorzy: Lazaros Tzelves; Ioannis Manolitsis; Ioannis Varkarakis; Mirjana Ivanovic; Miltiadis Kokkonidis; Cristina Sabater Useros; Thanos Kosmidis; Montserrat Muñoz; Imma Grau; Manos Athanatos; Anamaria Vizitiu; Konstantinos Lampropoulos; Tzortzia Koutsouri; Dimitra Stefanatou; Konstantinos Perrakis; Christina Stratigaki; Serge Autexier; Paris Kosmidis; Antonis Valachis
Opublikowane w: PLOS ONE, Numer 9, 2022, ISSN 1932-6203
Wydawca: Public Library of Science
DOI: 10.1371/journal.pone.0265127

The Application of Machine Learning Techniques in Prediction of Quality of Life Features for Cancer Patients

Autorzy: Savić Miloš, Kurbalija Vladimir, Ilić Mihailo, Ivanović Mirjana, Jakovetić Dušan, Valachis Antonios, Autexier Serge, Rust Johannes, Kosmidis Thanos
Opublikowane w: Computer Science and Information Systems, Numer Vol. 20, 2023, Strona(/y) p. 381-404, ISSN 1820-0214
Wydawca: ComSIS Consortium
DOI: 10.2298/csis220227061s

Outcome Prediction in Critically-Ill Patients with Venous Thromboembolism and/or Cancer Using Machine Learning Algorithms: External Validation and Comparison with Scoring Systems.

Autorzy: Vasiliki Danilatou; Stylianos Nikolakakis; Despoina Antonakaki; Christos Tzagkarakis; Dimitrios Mavroidis; Theodoros Kostoulas; Sotirios Ioannidis
Opublikowane w: International Journal of Molecular Sciences, Numer 8, 2023, ISSN 1422-0067
Wydawca: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/ijms23137132

mHealth Technology as a Help Tool during Breast Cancer Treatment: A Content Focus Group

Autorzy: Fuentes A, Amat C, Lozano-Rubí R, Frid S, Muñoz M, Escarrabill J, Grau-Corral I.
Opublikowane w: International Journal of Environmental Research and Public Health, Numer 20(5), 4584, 2023, ISSN 1661-7827
Wydawca: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/ijerph20054584

Obfuscation Algorithm for Privacy-Preserving Deep Learning-Based Medical Image Analysis

Autorzy: Andreea Bianca Popescu; Ioana Antonia Taca; Anamaria Vizitiu; Cosmin Ioan Nita; Constantin Suciu; Lucian Mihai Itu; Alexandru Scafa-Udriste
Opublikowane w: Applied Sciences; Volume 12; Numer 8; Pages: 3997, Numer 7, 2022, ISSN 2076-3417
Wydawca: MPDI
DOI: 10.3390/app12083997

Artificial Intelligence assisting patients with prostate cancer: The ASCAPE project

Autorzy: Manolitsis I, Tzelves L,Zogkza-Frantzeskaki F, Katsimperis S, Anastasiou T, Kosmidis T, Kosmidis P, Valachis A, Berdempes M, Varkarakis.
Opublikowane w: 25th Congress of the Hellenic Urological Association, 2022, Strona(/y) p28
Wydawca: Hellenic Urological Association

Non-bijectivity-based image obfuscation method for deep learning based medical applications

Autorzy: Popescu, Andreea Bianca; Nita, Cosmin Ioan; Taca, Ioana Antonia; Vizitiu, Anamaria; Itu, Lucian Mihai
Opublikowane w: 2022 International Conference on Development and Application Systems (DAS), Numer 8, 2022
Wydawca: IEEE
DOI: 10.1109/das54948.2022.9786187

Privacy-Preserving Medical Image Classification through Deep Learning and Matrix Decomposition

Autorzy: A. B. Popescu, C. I. Nita, I. A. Taca, A. Vizitiu and L. M. Itu
Opublikowane w: 2023 31st Mediterranean Conference on Control and Automation (MED), 2023, Strona(/y) pp. 305-310
Wydawca: IEEE
DOI: 10.1109/med59994.2023.10185748

An Artificial Intelligence Outlook for Colorectal Cancer Screening

Autorzy: Panagiotis Katrakazas; Aristotelis Ballas; Marco Anisetti; Ilias Spais.
Opublikowane w: 2022 IEEE Eighth International Conference on Big Data Computing Service and Applications (BigDataService), 2022
Wydawca: IEEE
DOI: 10.1109/bigdataservice55688.2022.00018

Abstract P4-11-28: Collecting quality of life information in a cohort of breast cancer survivors- Integrating electronic data collection into clinical practice

Autorzy: Clara Amat; Ángeles Fuentes; Imma Grau; Raimundo Lozano-Rubí; Olga Martinez-Sáez; Nuria Chic; Barbara Adamo; Maria Vidal; Irene Fernandez; Antonis Valachis; Thanos Kosmidis; Miltiadis Kokkonidis; Montserrat Muñoz
Opublikowane w: Cancer Res (2022) 82 (4_Supplement): P4-11-28., 2021
Wydawca: SABCS-San Antonio Breast Cancer Simposyum
DOI: 10.1158/1538-7445.sabcs21-p4-11-28

Analysis of Machine Learning Models Predicting Quality of Life for Cancer Patients

Autorzy: Miloš Savić; Vladimir Kurbalija; Mihailo Ilić; Mirjana Ivanović; Dusan Jakovetic; Antonios Valachis; Serge Autexier; Johannes Rust; Thanos Kosmidis
Opublikowane w: MEDES '21: Proceedings of the 13th International Conference on Management of Digital EcoSystemsNovember 2021, Numer 4, 2021, Strona(/y) Pages 35–42, ISSN 2834-5533
Wydawca: Association for Computing Machinery
DOI: 10.1145/3444757.3485103

ASCAPE: An open AI ecosystem to support the quality of life of cancer patients

Autorzy: Konstantinos Lampropoulos; Miriam Quintero Padron; Thanos Kosmidis; Serge Autexier; Milos Savic; Manos Athanatos; Miltiadis Kokkonidis; Tzortzia Koutsouri; Anamaria Vizitiu; Antonios Valachis
Opublikowane w: 2021 IEEE 9th International Conference on Healthcare Informatics (ICHI), Numer 8, 2021, Strona(/y) pp. 301-310
Wydawca: IEEE
DOI: 10.1109/ichi52183.2021.00054

AI Approaches in Processing and Using Data in Personalized Medicine

Autorzy: Ivanovic, Mirjana; Autexier, Serge; Kokkonidis, Miltiadis
Opublikowane w: ADBIS 2022: Advances in Databases and Information Systems, Numer 17, 2022, Strona(/y) pp 11–24, ISBN 978-3-031-15740-0
Wydawca: Springer, Cham
DOI: 10.48550/arxiv.2208.04698

ASCAPE: An open AI ecosystem to support the quality of life of cancer patients.

Autorzy: Konstantinos Lampropoulos, Thanos Kosmidis, Serge Autexier, Miloš Savić, Manos Athanatos, Miltiadis Kokkonidis, Tzortzia Koutsouri, Anamaria Vizitiu, Antonios Valachis and Miriam Quintero Padron
Opublikowane w: International Conference on Healthcare Informatics, 2021
Wydawca: IEEE

Training ChatGPT Models in Assisting Urologists in Daily Practice

Autorzy: Manolitsis I, Feretzakis G, Tzelves L, Kalles D, Katsimperis S, Angelopoulos P, Anastasiou A, Koutsouris D, Kosmidis T, Verykios VS, Skolarikos A, Varkarakis I.
Opublikowane w: ICIMTH 2023, the 21st International Conference on Informatics, Management, and Technology in Healthcare, Numer 305, 2023, Strona(/y) 576-579, ISBN 978-1-64368-401-7
Wydawca: IOS Press
DOI: 10.3233/shti230562

Abstract OT-39-01: Artificial intelligence supporting cancer patients across Europe - the ASCAPE project for breast cancer patients

Autorzy: Antonios Valachis, Serge Autexier, Imma Grau, Lucian Itu, Dusan Jakotevic, Thanos Kosmidis, Montserrat Muñoz, Konstantinos Perakis, Johannes Rust, Milos Savic, Paris Kosmidis
Opublikowane w: Ongoing Clinical Trials Abstracts, 2021, Strona(/y) OT-39-01-OT-39-01
Wydawca: American Association for Cancer Research
DOI: 10.1158/1538-7445.sabcs20-ot-39-01

Big-data and Machine Learning Prediction of Early and Late Mortality in ICU Patients with Venous Thromboembolism and Comparison with Classic Scoring Systems

Autorzy: V. Danilatou, D. Mavroidis, D. Antonakaki, A. Kanterakis, C. Tzagkarakis, T. Kostoulas and S. Ioannidis
Opublikowane w: Research and Practice in Thrombosis and Haemostasis (RPTH), 2021
Wydawca: Wiley

Acceptance of Artificial Intelligence in Supporting Cancer Patients.

Autorzy: Manolitsis I, Tzelves L, Feretzakis G, Kalles D, Verykios VS, Katsimperis S, Anastasiou A, Koutsouris D, Kosmidis T, Deliveliotis C, Papatsoris A, Varkarakis I.
Opublikowane w: ICIMTH 2023, the 21st International Conference on Informatics, Management, and Technology in Healthcare, Numer 305, 2023, Strona(/y) 572 - 575, ISSN 0926-9630
Wydawca: IOS Press
DOI: 10.3233/shti230561

Incident Handling for Healthcare Organizations and Supply-Chains

Autorzy: Lakka, E., Hatzivasilis, G., Karagiannis, S., Alexopoulos, A., Athanatos, M., Ioannidis, S., Chatzimpyrros, M., Kalogiannis, G. and Spanoudakis, G.
Opublikowane w: 2022 IEEE Symposium on Computers and Communications (ISCC), Rhodes, Greece, 2022, 2022, Strona(/y) pp. 1-7
Wydawca: IEEE
DOI: 10.1109/iscc55528.2022.9912965

Causal Inference for Personalized Treatment Effect Estimation for given Machine Learning Models

Autorzy: Johannes Rust, Serge Autexier.
Opublikowane w: 2022 21st IEEE International Conference on Machine Learning and Applications (ICMLA), 2023, Strona(/y) pp. 1289-1295
Wydawca: IEEE
DOI: 10.1109/icmla55696.2022.00206

Profile of toxicities and quality of life in long-term survivors treated with immunotherapy: A prospective cross sectional trial.

Autorzy: Bossi, P., Baronchelli, M., Lorini, L., Paduano, C., Smussi, D., Stucchi, E., Manfredi, F., Kalogerini, M., Giotis, G., Kalligeris, T. and Papafragkos, S.
Opublikowane w: 2023 ASCO Annual Meeting I, 2023, Strona(/y) 6569-6569
Wydawca: American Society of Clinical Oncology
DOI: 10.1200/jco.2023.41.16_suppl.6569

Using Association Rules in Antimicrobial Resistance in Stone Disease Patients

Autorzy: Ioannis Manolitsis; Georgios Feretzakis; Lazaros Tzelves; Dimitris Kalles; Evangelos Loupelis; Stamatis Katsimperis; Thanos Kosmidis; Athanasios Anastasiou; Dimitrios Koutsouris; Stavroula Kofopoulou; Vassilios S. Verykios; Andreas Skolarikos; Ioannis Varkarakis
Opublikowane w: Advances in Informatics, Management and Technology in Healthcare, Numer 7, 2022, ISSN 1879-8365
Wydawca: IOS Press
DOI: 10.3233/shti220765

Cluster Analysis Assessment in Proposing a Surgical Technique for Benign Prostatic Enlargement

Autorzy: Lazaros Tzelves; Georgios Feretzakis; Dimitris Kalles; Ioannis Manolitsis; Stamatis Katsimperis; Themistoklis Bellos; Marinos Berdempes; Athanasios Anastasiou; Dimitrios Koutsouris; Stavroula Kofopoulou; Vassilios S. Verykios; Andreas Skolarikos; Ioannis Varkarakis
Opublikowane w: Advances in Informatics, Management and Technology in Healthcare, Numer 6, 2022
Wydawca: IOS Press
DOI: 10.3233/shti220766

AI Approaches in Processing and Using Data in Personalized Medicine.

Autorzy: Ivanovic, M., Autexier, S., & Kokkonidis, M.
Opublikowane w: AI approaches in processing and using data in personalized medicine. In European Conference on Advances in Databases and Information Systems, Part of the Lecture Notes in Computer Science, Numer volume 13389, 2022, Strona(/y) pp. 11-24, ISBN 978-3-031-15740-0
Wydawca: Birkhäuser Verlag
DOI: 10.1007/978-3-031-15740-0_2

Cancer Survivorship and AI for Well-being White Paper: A European research projects collaborative perspective

Autorzy: Callejas Carrión, Zoraida; Flynn, Tom
Opublikowane w: Numer 10, 2023
Wydawca: Cancer Survivorship - AI for Well-being cluster

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