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of 2 371
pro vyhledávání: '"Krones, A"'
This work presents our team's (SignalSavants) winning contribution to the 2024 George B. Moody PhysioNet Challenge. The Challenge had two goals: reconstruct ECG signals from printouts and classify them for cardiac diseases. Our focus was the first ta
Externí odkaz:
http://arxiv.org/abs/2410.14185
Multimodal deep learning approach to predicting neurological recovery from coma after cardiac arrest
This work showcases our team's (The BEEGees) contributions to the 2023 George B. Moody PhysioNet Challenge. The aim was to predict neurological recovery from coma following cardiac arrest using clinical data and time-series such as multi-channel EEG
Externí odkaz:
http://arxiv.org/abs/2403.06027
Machine learning methods in healthcare have traditionally focused on using data from a single modality, limiting their ability to effectively replicate the clinical practice of integrating multiple sources of information for improved decision making.
Externí odkaz:
http://arxiv.org/abs/2402.02460
Large language models (LLMs) have made rapid improvement on medical benchmarks, but their unreliability remains a persistent challenge for safe real-world uses. To design for the use LLMs as a category, rather than for specific models, requires devel
Externí odkaz:
http://arxiv.org/abs/2310.07225
Publikováno v:
Computing in Cardiology, vol. 49, 2022
This study presents our team PathToMyHeart's contribution to the George B. Moody PhysioNet Challenge 2022. Two models are implemented. The first model is a Dual Bayesian ResNet (DBRes), where each patient's recording is segmented into overlapping log
Externí odkaz:
http://arxiv.org/abs/2305.16691
Autor:
Felix Krones, Benjamin Walker
Publikováno v:
PLOS Digital Health, Vol 3, Iss 12, p e0000437 (2024)
This article includes a literature review and a case study of artificial intelligence (AI) heart murmur detection models to analyse the opportunities and challenges in deploying AI in cardiovascular healthcare in low- or medium-income countries (LMIC
Externí odkaz:
https://doaj.org/article/d2f154e57bec4a3682e80ba2897b74e6
Publikováno v:
In Information Fusion February 2025 114
Autor:
Barocas, Solon, Guo, Anhong, Kamar, Ece, Krones, Jacquelyn, Morris, Meredith Ringel, Vaughan, Jennifer Wortman, Wadsworth, Duncan, Wallach, Hanna
Disaggregated evaluations of AI systems, in which system performance is assessed and reported separately for different groups of people, are conceptually simple. However, their design involves a variety of choices. Some of these choices influence the
Externí odkaz:
http://arxiv.org/abs/2103.06076
Autor:
Ana Rosca, Isabelle Karzig-Roduner, Jürgen Kasper, Niek Rogger, Daniel Drewniak, Tanja Krones
Publikováno v:
BMC Medical Ethics, Vol 24, Iss 1, Pp 1-11 (2023)
Abstract Background and Aims Shared decision making (SDM) and advance care planning (ACP) are important evidence and ethics based concepts that can be translated in communication tools to aid the treatment decision-making process. Although both have
Externí odkaz:
https://doaj.org/article/8cd129cd0dbc4887931d16426693e6fb
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