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Svein Reidar Kjosavik

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Professor

University of Bergen

Norway

Research Interests

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Professors in Norway Professors in Medical Imaging Medical Imaging professors in Norway

About

Svein Reidar Kjosavik is an Associated Professor at Universitetet i Bergen, Norway. His research focuses on artificial intelligence in medical diagnostics, particularly in urology and oncology, with recent articles addressing prostate cancer assessments and diagnostic methodologies. Additionally, he explores the psychological aspects of cancer diagnosis and the implications of various biomarkers in mental health and Alzheimer’s disease.

Recent Grants

Grant: Close

LiverPRO: empower clinicians to tackle the global health challenge of fatty liver disease by introducing novel clinical decision support

Open Date: 2022-05-01

Close Date: 2024-04-01

Grant: Close

A single blinded randomized controlled trial on effects of feedback on prescribing of addictive drugs in general practice

Open Date: 2014-02-01

Close Date: 2018-02-01

Grant: Close

Prescribing and prescribers of psychotropic drugs in Norway

Open Date: 2008-01-01

Close Date: 2012-01-01

Articles (20)

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2021

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2021

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2020

Collaborators (15)

Damoun Nassehi

Associate Professor

University of Bergen

NORWAY

Svein Reidar Kjosavik

Research Interests

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About

Recent Grants

Articles (20)

Trends in First-Time Symptomatic Antidementia Drug Dispensations to Home-Dwelling People in Norway: A Nationwide Register-Based Study

Finding Holes: Pathologist-Level Performance Using AI for Cribriform Morphology Detection in Prostate Cancer.

Development and retrospective validation of an artificial intelligence system for diagnostic assessment of prostate biopsies

Transcription-Driven Repurposing of Cardiotonic Steroids for Lithium Treatment of Severe Depression

Physical Color Calibration of Digital Pathology Scanners for Robust Artificial Intelligence-Assisted Cancer Diagnosis.

Artificial intelligence-assisted prostate cancer diagnosis for reduced use of immunohistochemistry.

The association between patient characteristics, psychological distress, and coping in the diagnostic phase of prostate cancer - A cross-sectional multicenter study.

Preanalytical stability of plasma biomarkers for Alzheimer's disease pathology

3D Masked Modelling Advances Lesion Classification in Axial T2w Prostate MRI

Prostate Age Gap: An MRI Surrogate Marker of Aging for Prostate Cancer Detection.

Prostate Biopsies Can Be Omitted in Most Patients with a Positive Stockholm3 Test and Negative Prostate Magnetic Resonance Imaging.

Algorithms for early detection of silent liver fibrosis in the primary care setting – a scoping review

Men’s perception of information and psychological distress in the diagnostic phase of prostate cancer: a comparative mixed methods study

I would rather be vaguely right than precisely wrong.

General practitioners' reflections on using PSA for diagnosis of prostate cancer. A qualitative study.

Post-vaccination aluminium granulomas in children.

Supportive care needs of men with prostate cancer after hospital discharge: multi-stakeholder perspectives.

Men's perception of information and descriptions of emotional strain in the diagnostic phase of prostate cancer-a qualitative individual interview study.

Improving prostate whole gland segmentation in t2-weighted MRI with synthetically generated data

A Nordic initiative for a more personal and accurate diagnostic pathway for prostate cancer.

Collaborators (15)

Damoun Nassehi

Cathy Fernandes

Pedersen Bodil Ginnerup

Sissel Eikeland Husebø

Mattias Rantalainen

Christina Elliott

Ingvild Dalen

Gareth Williams

Karina Dalsgaard Sørensen

Kimmo Kartasalo

Alvaro Fernandez-Quilez

Kristina Hotakainen

Richard Killick

Dag Aarsland

Marcin Braun

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