Clinically Actionable Explainable AI in Pulmonary Arterial Hypertension: Endpoints, Calibration, and External Validation. Reply to Pagnoni et al. Toward Clinically Actionable Explainable AI in Pulmonary Arterial Hypertension: Endpoints, Calibration, and External Validation. Comment on “Ledziński et al. Personalized Medicine in Pulmonary Arterial Hypertension: Utilizing Artificial Intelligence for Death Prevention. J. Clin. Med. 2025, 14, 8325”
- DOI
- 10.3390/jcm15051838
- Published
- 2026-02-28
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- Journal of Clinical Medicine
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- MDPI AG
- Open access
- unknown
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BibTeX
@article{allodium:10.3390/jcm15051838,
title = {Clinically Actionable Explainable AI in Pulmonary Arterial Hypertension: Endpoints, Calibration, and External Validation. Reply to Pagnoni et al. Toward Clinically Actionable Explainable AI in Pulmonary Arterial Hypertension: Endpoints, Calibration, and External Validation. Comment on “Ledziński et al. Personalized Medicine in Pulmonary Arterial Hypertension: Utilizing Artificial Intelligence for Death Prevention. J. Clin. Med. 2025, 14, 8325”},
author = {Łukasz Ledziński and Grzegorz Grześk and Michał Ziołkowski and Marcin Waligóra and Marcin Kurzyna and Tatiana Mularek-Kubzdela and Anna Smukowska-Gorynia and Ilona Skoczylas and Łukasz Chrzanowski and Piotr Błaszczak and Miłosz Jaguszewski and Beata Kuśmierczyk-Droszcz and Katarzyna Ptaszyńska and Katarzyna Mizia-Stec and Ewa Malinowska and Małgorzata Peregud-Pogorzelska and Ewa Lewicka and Michał Tomaszewski and Wojciech Jacheć and Michał Florczyk and Ewa Mroczek and Zbigniew Gąsior and Agnieszka Pawlak and Katarzyna Betkier-Lipińska and Piotr Pruszczyk and Olga Dzikowska-Diduch and Katarzyna Widejko and Judyta Winowska-Józwa and Grzegorz Kopeć},
year = {2026},
journal = {Journal of Clinical Medicine},
doi = {10.3390/jcm15051838},
url = {https://doi.org/10.3390/jcm15051838}
}RIS
TY - JOUR TI - Clinically Actionable Explainable AI in Pulmonary Arterial Hypertension: Endpoints, Calibration, and External Validation. Reply to Pagnoni et al. Toward Clinically Actionable Explainable AI in Pulmonary Arterial Hypertension: Endpoints, Calibration, and External Validation. Comment on “Ledziński et al. Personalized Medicine in Pulmonary Arterial Hypertension: Utilizing Artificial Intelligence for Death Prevention. J. Clin. Med. 2025, 14, 8325” AU - Łukasz Ledziński AU - Grzegorz Grześk AU - Michał Ziołkowski AU - Marcin Waligóra AU - Marcin Kurzyna AU - Tatiana Mularek-Kubzdela AU - Anna Smukowska-Gorynia AU - Ilona Skoczylas AU - Łukasz Chrzanowski AU - Piotr Błaszczak AU - Miłosz Jaguszewski AU - Beata Kuśmierczyk-Droszcz AU - Katarzyna Ptaszyńska AU - Katarzyna Mizia-Stec AU - Ewa Malinowska AU - Małgorzata Peregud-Pogorzelska AU - Ewa Lewicka AU - Michał Tomaszewski AU - Wojciech Jacheć AU - Michał Florczyk AU - Ewa Mroczek AU - Zbigniew Gąsior AU - Agnieszka Pawlak AU - Katarzyna Betkier-Lipińska AU - Piotr Pruszczyk AU - Olga Dzikowska-Diduch AU - Katarzyna Widejko AU - Judyta Winowska-Józwa AU - Grzegorz Kopeć PY - 2026 JO - Journal of Clinical Medicine DO - 10.3390/jcm15051838 UR - https://doi.org/10.3390/jcm15051838 ER -
APA
Ledziński, Ł., Grześk, G., Ziołkowski, M., Waligóra, M., Kurzyna, M., Mularek-Kubzdela, T., Smukowska-Gorynia, A., Skoczylas, I., Chrzanowski, Ł., Błaszczak, P., Jaguszewski, M., Kuśmierczyk-Droszcz, B., Ptaszyńska, K., Mizia-Stec, K., Malinowska, E., Peregud-Pogorzelska, M., Lewicka, E., Tomaszewski, M., Jacheć, W., Florczyk, M., Mroczek, E., Gąsior, Z., Pawlak, A., Betkier-Lipińska, K., Pruszczyk, P., Dzikowska-Diduch, O., Widejko, K., Winowska-Józwa, J., & Kopeć, G. (2026). Clinically Actionable Explainable AI in Pulmonary Arterial Hypertension: Endpoints, Calibration, and External Validation. Reply to Pagnoni et al. Toward Clinically Actionable Explainable AI in Pulmonary Arterial Hypertension: Endpoints, Calibration, and External Validation. Comment on “Ledziński et al. Personalized Medicine in Pulmonary Arterial Hypertension: Utilizing Artificial Intelligence for Death Prevention. J. Clin. Med. 2025, 14, 8325”. Journal of Clinical Medicine. https://doi.org/10.3390/jcm15051838
Source records
- crossref · retrieved 2026-09-25T21:15:57.589Z