| 2024 | Exploring the Role of Transformer-Based Language Models in Medical Transcript Summarization. | Mariia Zimokha, Kyrylo Yemets |
| 2024 | A Self-Supervised Learning Approach for Detecting Brca Mutations in Breast Cancer Histopathological Images. | Fayal Touazi, Djamel Gaceb, Chaima Belkadi, Besma Loubar |
| 2024 | Intelligent Advisory Innovative Framework of Enhanced Doctor-Patient Interaction for Healthcare Providers. | Oles Telikhovskyi, Roman Komarnytsky, Vasyl Koval, Khrystyna Lipianina-Honcharenko, Vitaliy Dorosh, Mykola Telka |
| 2024 | Detection of Stress Using Photoplethysmography. | Yaroslav Strelchuk, Alina S. Nechyporenko, Marcus Frohme, Vitaliy Gargin, Andrii Lupyr, Victoriia Alekseeva |
| 2024 | Modeling and Numerical Analysis of the Effects of Chemotherapy on the State of a Cancerous Tumour Based on Fractional-Order Derivatives. | Yaroslav Sokolovskyy, Olesia-Oksana Vilchynska, Andrii Mokrytskyi |
| 2024 | Research of Algorithms Based on Fractional Differential Derivatives for Improving Medical Images. | Yaroslav Sokolovskyy, Volodymyr Bereziuk, Maryana Levkovych, Mykhailo Paslavskyi |
| 2024 | Resource-Efficient Solutions for Data Security at the Network Level of the Medical Internet of Things. | Inna Rozlomii, Andrii Yarmilko, Serhii Naumenko |
| 2024 | Improving Unsupervised Graph-Based Skull Stripping: Enhancements and Comparative Analysis With State-Of-The-Art Methods. | Maria Popa, Anca Andreica |
| 2024 | Artificial Intelligence-Based Method for Face Skin Diagnostic. | Olga Pavlova, Vitalii Alekseiko, Vladyslav Karabaieva, Andrii Kuzmin |
| 2024 | Software for Anomaly Detection in MRI Images. | Yurii Oliinyk, Mariia Kapshuk, Leonid Oliinyk |
| 2024 | Development and Analysis of a Parallel Method for Detecting Chromosomal Translocations and Inversions in DNA Sequences. | Lesia I. Mochurad, Renata Vladyka |
| 2024 | Development and Modeling of Parameter Areas of an Information System for Rehabilitation. | Solomiia Liaskovska, Yevgen Martyn, Andy T. Augousti, Svytoslav Kytsara |
| 2024 | Ensemble Deep Learning of CNN vs Vision Transformers for Brain Lesion Classification on MRI Images. | Norelhouda Laribi, Djamel Gaceb, Fayal Touazi, Abdellah Rezoug, Abdelmoumen Sahad, Massine Omar Reggai |
| 2024 | Artificial Intelligence in Medicine: Small Data Approach. | Ivan Izonin, Roman Tkachenko, Iryna Pliss, Yaroslav Tolstyak, Kyrylo Yemets, Olha Chala, Myroslav Havryliuk, Stphane Chrtien |
| 2024 | MentSDet: Concept of Mobile-Oriented Multimodal Information System for Determining the Patient's Mental State. | Tetiana Hovorushchenko, Olha Hovorushchenko, Anatolii Korol, Valentyna Hnenna, Artem Boyarchuk |
| 2024 | Cloud-Based Approach on Genetic Data Imputation Parameters Optimization. | Pavlo Horun, Chirstine Strauss |
| 2024 | Internet of Robotic Things (IoRT) Approach to Lifelong Learning and Medical Education With Internet of Medical Things (IoMT). | Roman Hasko, Oleksandra Hasko, Hakan Kutucu |
| 2024 | Web-Based Melanoma Detection System Using Convolutional Neural Networks and Advanced Image Processing. | Sebastian Grecki, Wiktoria Duszczyk, Zuzanna Huda, Andrzej Faryna, Aleksandra Tatka |
| 2024 | The Method of Intelligent Classification Based on Deep Associative Neural Networks. | Eugene Fedorov, Tetyana Utkina, Olga Nechyporenko, Maryna M. Leshchenko, Kostiantyn Rudakov, Ihor Zubko |
| 2024 | Application of Explainable AI to Healthcare: A Review. | Samuel Gbenga Faluyi, Yousra Chabchoub, Maurras Togbe, Jrmie Sublime |
| 2024 | Graph-Based Approaches for Multimodal Medical Data Processing. | Iryna Dymun, Oleh Basystiuk, Andriy Dumyn |
| 2024 | Learning With Small Data: What Can Be Inferred From Small Samples? | Serge Dolgikh, Oksana Mulesa, Volodymyr Sabadosh |
| 2024 | Optimization of Medical Logistics With Bee Colony Algorithms in Emergency, Military Conflict and Post-war Remediation Settings. | Tetiana Cherniavska, Bohdan Cherniavskyi, Tamar Sanikidze, Alexander Sharashenidze, Magda Tortladze, Maka Buleishvili |
| 2024 | Architecture-Oriented Agent-Based Model (AOAM) for Optimizing Transport Evacuation Management and Emergency Medical Assistance in the Context of the War in Ukraine: Challenges and Prospects. | Tetiana Cherniavska, Bohdan Cherniavskyi |
| 2024 | Simulation of Influenza Dynamics With Lstm Deep Learning Model. | Mykola Butkevych, Ievgen Meniailov, Kseniia Bazilevych, Yurii Parfeniuk, Dmytro Chumachenko |