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Kelvin Szolnoky

Showing results (1-10 of 11) with videos related to

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Nature Reviews. Urology|November 20, 2024
Tomorrow's patient management: LLMs empowered by external toolsKelvin Szolnoky, Tobias Nordström, Martin Eklund
Trauma Surgery & Acute Care Open|February 12, 2026
Audit filters: beyond linear assumptionJosef Al-Khalili, Johanna Berg, Kelvin Szolnoky, et al.
Trauma Surgery & Acute Care Open|December 3, 2025
Performance of individual audit filters in predicting opportunities for improvement in adult trauma patientsJosef Al-Khalili, Jonatan Attergrim, Johanna Berg, et al.
Journal of Critical Care|July 4, 2025
Opportunities for improvement in adult trauma patients admitted to the intensive care unit: A registry-based cohort studyElin Sun Cao, Jonatan Attergrim, Kelvin Szolnoky, et al.
BMJ Open|June 6, 2025
Predicting opportunities for improvement in trauma care using machine learning: a retrospective registry-based study at a major trauma centreJonatan Attergrim, Kelvin Szolnoky, Lovisa Strömmer, et al.
Trauma Surgery & Acute Care Open|May 23, 2025
Incidence of opportunities for improvement in trauma patient care: a retrospective registry-based studyKelvin Szolnoky, Elias Joneborg, Jonatan Attergrim, et al.
BMJ Open|December 25, 2025
Retrospective validation of an artificial intelligence system for diagnostic assessment of prostate biopsies on the ProMort cohort: study protocolXiaoyi Ji, Renata Zelic, Oskar Aspegren, et al.
Communications Medicine|October 15, 2025
Artificial intelligence-assisted prostate cancer diagnosis for reduced use of immunohistochemistryAnders Blilie, Nita Mulliqi, Xiaoyi Ji, et al.
Scientific Reports|May 13, 2026
The impact of tissue detection on diagnostic artificial intelligence algorithms in prostate digital pathologySol Erika Boman, Nita Mulliqi, Anders Blilie, et al.
European Urology Open Science|April 20, 2026
Finding Holes: Pathologist-Level Performance Using AI for Cribriform Morphology Detection in Prostate CancerKelvin Szolnoky, Anders Blilie, Nita Mulliqi, et al.
Pageof 2

Showing results (1-10 of 11) with videos related to

Sort By:
Pageof 2
Nature Reviews. Urology|November 20, 2024
Tomorrow's patient management: LLMs empowered by external toolsKelvin Szolnoky, Tobias Nordström, Martin Eklund
Trauma Surgery & Acute Care Open|February 12, 2026
Audit filters: beyond linear assumptionJosef Al-Khalili, Johanna Berg, Kelvin Szolnoky, et al.
Trauma Surgery & Acute Care Open|December 3, 2025
Performance of individual audit filters in predicting opportunities for improvement in adult trauma patientsJosef Al-Khalili, Jonatan Attergrim, Johanna Berg, et al.
Journal of Critical Care|July 4, 2025
Opportunities for improvement in adult trauma patients admitted to the intensive care unit: A registry-based cohort studyElin Sun Cao, Jonatan Attergrim, Kelvin Szolnoky, et al.
BMJ Open|June 6, 2025
Predicting opportunities for improvement in trauma care using machine learning: a retrospective registry-based study at a major trauma centreJonatan Attergrim, Kelvin Szolnoky, Lovisa Strömmer, et al.
Trauma Surgery & Acute Care Open|May 23, 2025
Incidence of opportunities for improvement in trauma patient care: a retrospective registry-based studyKelvin Szolnoky, Elias Joneborg, Jonatan Attergrim, et al.
BMJ Open|December 25, 2025
Retrospective validation of an artificial intelligence system for diagnostic assessment of prostate biopsies on the ProMort cohort: study protocolXiaoyi Ji, Renata Zelic, Oskar Aspegren, et al.
Communications Medicine|October 15, 2025
Artificial intelligence-assisted prostate cancer diagnosis for reduced use of immunohistochemistryAnders Blilie, Nita Mulliqi, Xiaoyi Ji, et al.
Scientific Reports|May 13, 2026
The impact of tissue detection on diagnostic artificial intelligence algorithms in prostate digital pathologySol Erika Boman, Nita Mulliqi, Anders Blilie, et al.
European Urology Open Science|April 20, 2026
Finding Holes: Pathologist-Level Performance Using AI for Cribriform Morphology Detection in Prostate CancerKelvin Szolnoky, Anders Blilie, Nita Mulliqi, et al.
Pageof 2