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Oskar Wysocki

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Travel Medicine and Infectious Disease|September 17, 2023
Epidemiological and clinical analysis of polish short-term and long-term travelers returning from tropical countriesMartyna Bykowska-Tumasz, Oskar Wysocki, Katarzyna Sikorska
BMC Bioinformatics|May 15, 2023
A systematic review of biologically-informed deep learning models for cancer: fundamental trends for encoding and interpreting oncology dataMagdalena Wysocka, Oskar Wysocki, Marie Zufferey, et al.
Journal of Biomedical Informatics|September 14, 2024
Large Language Models, scientific knowledge and factuality: A framework to streamline human expert evaluationMagdalena Wysocka, Oskar Wysocki, Maxime Delmas, et al.
International Journal of Medical Informatics|May 11, 2025
Translating the machine; An assessment of clinician understanding of ophthalmological artificial intelligence outputsOskar Wysocki, Sammie Mak, Hannah Frost, et al.
Artificial Intelligence|January 19, 2026
Assessing the communication gap between AI models and healthcare professionals: Explainability, utility and trust in AI-driven clinical decision-makingOskar Wysocki, Jessica Katharine Davies, Markel Vigo, et al.
Journal of Biomedical Informatics|April 27, 2023
Meta-analysis informed machine learning: Supporting cytokine storm detection during CAR-T cell TherapyAlex Bogatu, Magdalena Wysocka, Oskar Wysocki, et al.
Journal of Clinical Virology : the Official Publication of the Pan American Society for Clinical Virology|November 29, 2021
Wave comparisons of clinical characteristics and outcomes of COVID-19 admissions - Exploring the impact of treatment and strain dynamicsAnna Freeman, Alastair Watson, Paul O'Regan, et al.
BMJ Open|February 16, 2022
Biomarker identification using dynamic time warping analysis: a longitudinal cohort study of patients with COVID-19 in a UK tertiary hospitalHannah Burke, Anna Freeman, Paul O'Regan, et al.
Cancers|August 26, 2022
An International Comparison of Presentation, Outcomes and CORONET Predictive Score Performance in Patients with Cancer Presenting with COVID-19 across Different Pandemic WavesOskar Wysocki, Cong Zhou, Jacobo Rogado, et al.
JCO Clinical Cancer Informatics|May 24, 2022
Establishment of CORONET, COVID-19 Risk in Oncology Evaluation Tool, to Identify Patients With Cancer at Low Versus High Risk of Severe Complications of COVID-19 Disease On Presentation to HospitalRebecca J Lee, Oskar Wysocki, Cong Zhou, et al.
Pageof 1

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

Sort By:
Pageof 1
Travel Medicine and Infectious Disease|September 17, 2023
Epidemiological and clinical analysis of polish short-term and long-term travelers returning from tropical countriesMartyna Bykowska-Tumasz, Oskar Wysocki, Katarzyna Sikorska
BMC Bioinformatics|May 15, 2023
A systematic review of biologically-informed deep learning models for cancer: fundamental trends for encoding and interpreting oncology dataMagdalena Wysocka, Oskar Wysocki, Marie Zufferey, et al.
Journal of Biomedical Informatics|September 14, 2024
Large Language Models, scientific knowledge and factuality: A framework to streamline human expert evaluationMagdalena Wysocka, Oskar Wysocki, Maxime Delmas, et al.
International Journal of Medical Informatics|May 11, 2025
Translating the machine; An assessment of clinician understanding of ophthalmological artificial intelligence outputsOskar Wysocki, Sammie Mak, Hannah Frost, et al.
Artificial Intelligence|January 19, 2026
Assessing the communication gap between AI models and healthcare professionals: Explainability, utility and trust in AI-driven clinical decision-makingOskar Wysocki, Jessica Katharine Davies, Markel Vigo, et al.
Journal of Biomedical Informatics|April 27, 2023
Meta-analysis informed machine learning: Supporting cytokine storm detection during CAR-T cell TherapyAlex Bogatu, Magdalena Wysocka, Oskar Wysocki, et al.
Journal of Clinical Virology : the Official Publication of the Pan American Society for Clinical Virology|November 29, 2021
Wave comparisons of clinical characteristics and outcomes of COVID-19 admissions - Exploring the impact of treatment and strain dynamicsAnna Freeman, Alastair Watson, Paul O'Regan, et al.
BMJ Open|February 16, 2022
Biomarker identification using dynamic time warping analysis: a longitudinal cohort study of patients with COVID-19 in a UK tertiary hospitalHannah Burke, Anna Freeman, Paul O'Regan, et al.
Cancers|August 26, 2022
An International Comparison of Presentation, Outcomes and CORONET Predictive Score Performance in Patients with Cancer Presenting with COVID-19 across Different Pandemic WavesOskar Wysocki, Cong Zhou, Jacobo Rogado, et al.
JCO Clinical Cancer Informatics|May 24, 2022
Establishment of CORONET, COVID-19 Risk in Oncology Evaluation Tool, to Identify Patients With Cancer at Low Versus High Risk of Severe Complications of COVID-19 Disease On Presentation to HospitalRebecca J Lee, Oskar Wysocki, Cong Zhou, et al.
Pageof 1