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Sökning: id:"swepub:oai:DiVA.org:kth-337027" > Integrating Artific...

Integrating Artificial Intelligence Tools in the Clinical Research Setting : The Ovarian Cancer Use Case

Sanchez, Lorena Escudero (författare)
Univ Cambridge, Dept Radiol, Cambridge CB2 0QQ, England.;Li Ka Shing Ctr, Canc Res UK Cambridge Ctr, Cambridge CB2 0RE, England.;Natl Canc Imaging Translat Accelerator NCITA Conso, London, England.
Buddenkotte, Thomas (författare)
Univ Cambridge, Dept Radiol, Cambridge CB2 0QQ, England.;Univ Cambridge, Dept Appl Math & Theoret Phys, Wilberforce Rd, Cambridge CB3 0WA, England.;Univ Hosp Hamburg Eppendorf, Dept Diagnost & Intervent Radiol & Nucl Med, D-20246 Hamburg, Germany.;Jung Diagnost GmbH, D-22335 Hamburg, Germany.
Al Sa'd, Mohammad (författare)
Natl Canc Imaging Translat Accelerator NCITA Conso, London, England.;Imperial Coll, Canc Imaging Ctr, Dept Surg & Canc, London SW7 2AZ, England.
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McCague, Cathal (författare)
Univ Cambridge, Dept Radiol, Cambridge CB2 0QQ, England.;Li Ka Shing Ctr, Canc Res UK Cambridge Ctr, Cambridge CB2 0RE, England.;Cambridge Univ Hosp NHS Fdn Trust, Cambridge CB2 0QQ, England.
Darcy, James (författare)
Natl Canc Imaging Translat Accelerator NCITA Conso, London, England.;Inst Canc Res, Div Radiotherapy & Imaging, London SW7 3RP, England.
Rundo, Leonardo (författare)
Univ Cambridge, Dept Radiol, Cambridge CB2 0QQ, England.;Li Ka Shing Ctr, Canc Res UK Cambridge Ctr, Cambridge CB2 0RE, England.;Univ Salerno, Dept Informat & Elect Engn & Appl Math DIEM, I-84084 Fisciano, Italy.
Samoshkin, Alex (författare)
Univ Cambridge, Sch Clin Med, Off Translat Res, Cambridge CB2 0SP, England.
Graves, Martin J. (författare)
Univ Cambridge, Dept Radiol, Cambridge CB2 0QQ, England.;Cambridge Univ Hosp NHS Fdn Trust, Cambridge CB2 0QQ, England.
Hollamby, Victoria (författare)
Univ Cambridge, Sch Clin Med, Res & Informat Governance, Cambridge CB2 0SP, England.
Browne, Paul (författare)
Univ Cambridge, High Performance Comp Dept, Cambridge CB3 0RB, England.
Crispin-Ortuzar, Mireia (författare)
Li Ka Shing Ctr, Canc Res UK Cambridge Ctr, Cambridge CB2 0RE, England.;Univ Cambridge, Dept Oncol, Cambridge CB2 0XZ, England.
Woitek, Ramona (författare)
Univ Cambridge, Dept Radiol, Cambridge CB2 0QQ, England.;Li Ka Shing Ctr, Canc Res UK Cambridge Ctr, Cambridge CB2 0RE, England.;Danube Private Univ, Fac Med & Dent, Res Ctr Med Image Anal & Artificial Intelligence M, Dept Med, A-3500 Krems, Austria.
Sala, Evis (författare)
Univ Cambridge, Dept Radiol, Cambridge CB2 0QQ, England.;Li Ka Shing Ctr, Canc Res UK Cambridge Ctr, Cambridge CB2 0RE, England.;Natl Canc Imaging Translat Accelerator NCITA Conso, London, England.;Cambridge Univ Hosp NHS Fdn Trust, Cambridge CB2 0QQ, England.;Univ Cattolica Sacro Cuore, Dipartimento Sci Radiol Ematol, I-00168 Rome, Italy.;Policlin Univ A Gemelli IRCCS, Dipartimento Diagnost Immagini Radioterapia Oncol, I-00168 Rome, Italy.
Schonlieb, Carola-Bibiane (författare)
Univ Cambridge, Dept Appl Math & Theoret Phys, Wilberforce Rd, Cambridge CB3 0WA, England.
Doran, Simon J. (författare)
Natl Canc Imaging Translat Accelerator NCITA Conso, London, England.;Inst Canc Res, Div Radiotherapy & Imaging, London SW7 3RP, England.
Öktem, Ozan, 1969- (författare)
KTH,Matematik (Inst.)
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Univ Cambridge, Dept Radiol, Cambridge CB2 0QQ, England;Li Ka Shing Ctr, Canc Res UK Cambridge Ctr, Cambridge CB2 0RE, England.;Natl Canc Imaging Translat Accelerator NCITA Conso, London, England. Univ Cambridge, Dept Radiol, Cambridge CB2 0QQ, England.;Univ Cambridge, Dept Appl Math & Theoret Phys, Wilberforce Rd, Cambridge CB3 0WA, England.;Univ Hosp Hamburg Eppendorf, Dept Diagnost & Intervent Radiol & Nucl Med, D-20246 Hamburg, Germany.;Jung Diagnost GmbH, D-22335 Hamburg, Germany. (creator_code:org_t)
MDPI, 2023
2023
Engelska.
Ingår i: Diagnostics. - : MDPI. - 2075-4418. ; 13:17
Relaterad länk:
https://doi.org/10.3...
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https://urn.kb.se/re...
https://doi.org/10.3...
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  • Tidskriftsartikel (refereegranskat)
Abstract Ämnesord
Stäng  
  • Artificial intelligence (AI) methods applied to healthcare problems have shown enormous potential to alleviate the burden of health services worldwide and to improve the accuracy and reproducibility of predictions. In particular, developments in computer vision are creating a paradigm shift in the analysis of radiological images, where AI tools are already capable of automatically detecting and precisely delineating tumours. However, such tools are generally developed in technical departments that continue to be siloed from where the real benefit would be achieved with their usage. Significant effort still needs to be made to make these advancements available, first in academic clinical research and ultimately in the clinical setting. In this paper, we demonstrate a prototype pipeline based entirely on open-source software and free of cost to bridge this gap, simplifying the integration of tools and models developed within the AI community into the clinical research setting, ensuring an accessible platform with visualisation applications that allow end-users such as radiologists to view and interact with the outcome of these AI tools.

Ämnesord

NATURVETENSKAP  -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
NATURAL SCIENCES  -- Computer and Information Sciences -- Computer Sciences (hsv//eng)
MEDICIN OCH HÄLSOVETENSKAP  -- Klinisk medicin -- Radiologi och bildbehandling (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Clinical Medicine -- Radiology, Nuclear Medicine and Medical Imaging (hsv//eng)

Nyckelord

artificial intelligence
cancer research
imaging
clinical integration
radiomics

Publikations- och innehållstyp

ref (ämneskategori)
art (ämneskategori)

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