28 citations
- Adam Mickiewicz University in PoznańPL3 papers
- Kazimierz Wielki University in BydgoszczPL1 paper
- Maria Curie-Skłodowska UniversityPL1 paper
- Medical University of WarsawPL1 paper
- Postgraduate School of Molecular MedicinePL1 paper
- University of AmsterdamNL1 paper
- University of WarsawPL1 paper
- Warsaw University of TechnologyPL1 paper
6 papers
Optimizing Retrieval-Augmented Generation of Medical Content for Spaced Repetition Learning
Jeremi I. Kaczmarek, Jakub Pokrywka, Krzysztof Biedalak +2
Advances in Large Language Models revolutionized medical education by enabling scalable and efficient learning solutions. This paper presents a pipeline employing Retrieval-Augment…
Polish-English medical knowledge transfer: A new benchmark and results
Łukasz Grzybowski, Jakub Pokrywka, Michał Ciesiółka +2
Large Language Models (LLMs) have demonstrated significant potential in handling specialized tasks, including medical problem-solving. However, most studies predominantly focus on…
Evaluating Transformer Models for Suicide Risk Detection on Social Media
Jakub Pokrywka, Jeremi I. Kaczmarek, Edward J. Gorzelańczyk
The detection of suicide risk in social media is a critical task with potential life-saving implications. This paper presents a study on leveraging state-of-the-art natural languag…
The Efficacy of Conversational Artificial Intelligence in Rectifying the Theory of Mind and Autonomy Biases: Comparative Analysis
Marcin Rządeczka, Anna Sterna, Julia Stolińska +2
Background: The increasing deployment of Conversational Artificial Intelligence (CAI) in mental health interventions necessitates an evaluation of their efficacy in rectifying cogn…
BabyNet: Residual Transformer Module for Birth Weight Prediction on Fetal Ultrasound Video
Szymon Płotka, Michal K. Grzeszczyk, Robert Brawura-Biskupski-Samaha +4
Predicting fetal weight at birth is an important aspect of perinatal care, particularly in the context of antenatal management, which includes the planned timing and the mode of de…
Parameterization of Sequence of MFCCs for DNN-based voice disorder detection
Tomasz Grzywalski, Adam Maciaszek, Adam Biniakowski +8
In this article a DNN-based system for detection of three common voice disorders (vocal nodules, polyps and cysts; laryngeal neoplasm; unilateral vocal paralysis) is presented. The…