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researcher

Oskar Wysocki

University of Manchester

7 papers hereh-index 7359 citations33 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author3
  • middle author3

Across the 6 of 7 papers where every author was matched, so the position is known.

fields
  • cs.CL3
  • q-bio.QM2
  • cs.AI1
  • cs.HC1
affiliations
  • University of Manchester

identity via Semantic Scholar / OpenAlex

activity
20202023
most citedAssessing the communication gap between AI models and healthcare professionals: explainability, utility and trust in AI-driven clinical decision-making

153 citations · 175 across the 7 of their papers we have counts for

collaborators
Showing q-bio.QMShow all

2 papers · 1 filter

q-bio.QM2022

A systematic review of biologically-informed deep learning models for cancer: fundamental trends for encoding and interpreting oncology data

Magdalena Wysocka, Oskar Wysocki, Marie Zufferey +2

There is an increasing interest in the use of Deep Learning (DL) based methods as a supporting analytical framework in oncology. However, most direct applications of DL will delive…

q-bio.QM2022

Metareview-informed Explainable Cytokine Storm Detection during CAR-T cell Therapy

Alex Bogatu, Magdalena Wysocka, Oskar Wysocki +4

Cytokine release syndrome (CRS), also known as cytokine storm, is one of the most consequential adverse effects of chimeric antigen receptor therapies that have shown promising res…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.