Ishita Barua

Department of Health Management and Health Economics

Norwegian version of this page

Email ishita.barua@medisin.uio.no

Username

Visiting address Sognsvannsveien 21 Bygg 20 Gaustad sykehus 0372 Oslo

Postal address Postboks 1089 Blindern 0317 Oslo

Other affiliations Faculty of Medicine (Student)

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Ishita Barua is a MD and a PhD candidate in the Clinical Effectiveness Research Group at the University of Oslo and Oslo University Hospital. Her research focuses on the use of artificial intelligence in colorectal cancer diagnosis and colonoscopy. She is one of the initiators behind and lecturers in the medical elective subject called MED3065: AI, innovation, big data and clinical decision support.

She was awarded the Fulbright Scholarship in 2020, and is a visiting researcher at BIDMC and Harvard Medical School in Boston, USA, in 2021.

She has previously worked as a resident doctor in Gastroenterology and Internal Medicine, and she is the president of Young Internists of Norway. She has also been appointed by the Norwegian government as a deputy member of the Norwegian Biotechnology Advisory Board. In 2021, she was named one of top 30 women in Norway changing the field of Artificial Intelligence, by NORA - The Norwegian Artificial Intelligence Research Consortium.

Academic interests

Artificial Intelligence in Medicine
Gastroenterology
Endoscopy
Colorectal cancer and screening
Epidemiology
eHealth

Education

Visiting researcher at BIDMC and Harvard Medical School, Boston, USA.
2019-present: PhD, Clinical Effectiveness Research Group, Oslo University Hospital and University of Oslo
2017-2020: B.Sc., Health Economics and Management, University of Oslo
2007-2014: Medical Doctor (Cand.med), University of Oslo

Courses

2021: Applied AI in Health Care, Harvard T.H. Chan School of Public Health
2020: Health innovation and entrepreneurship, University of Oslo

Scholarships & Awards

Fulbright Scholarship 2020
"Top 30 Women in Norway changing the field of Artificial Intelligence", by NORA - The Norwegian Artificial Intelligence Research Consortium
The Caroline Musaeus Aarsvold Fund 2021, The Norwegian Medical Association

Clinical Experience

2019-present: Endoscopist, Vestre Viken Trust, Baerum Hospital
2016-2018: Resident Doctor in Gastroenterology and Internal Medicine, Vestre Viken Trust, Baerum Hospital
2016-2018: Endoscopist in CRC-screening, Cancer Registry of Norway
2016-2019 Doctor, Supplemented Primary Care Unit, Follo
2015-2016: Junior/Intern Doctor, Enebakk Municipality
2014-2015: Junior/Intern Doctor, Akershus University Hospital
2013-2014: MD Student License, Dep. of GI surgery, Akershus University Hospital

Organizational Experience

2021-present: Board Member, The Nordic Privacy Center
2020-present: Board Member, NORDE (Norwegian Council for Digital Ethics)
2019-present: Deputy member, The Norwegian Biotechnology Advisory Board
2019-present: Board Member, The Norwegian Gastroenterology Society’s Interest Group for Colorectal Cancer Screening
2019-present: President, Young Internists of Norway
2018-2019: Advisory Board Member, The Norwegian Medical Association
2017-2019: Board Member, Young Internists of Norway
2014-2016: Elected representative for the Junior Doctors, Akershus University Hospital
2013-2014: President, Medical Subject Committee, Faculty of Medicine, University of Oslo

Barua, Ishita; Mori, Yuichi & Bretthauer, Michael (2020). Colorectal polyp characterization with endocytoscopy: Ready for widespread implementation with artificial intelligence?. Best Practice & Research: Clinical Gastroenterology. ISSN 1521-6918. doi: https://doi.org/10.1016/j.bpg.2020.101721
Podcast AICAST. Barua, Ishita & Vevle, Frank (2020, November 27th). Medisin og kunstig intelligens med Ishita Barua. [Radio].
A podcast from the committee for AI (Artificial Intelligence) in the Norwegian Data Association.
Podcast: Universitetsplassen LIVE: Trenger vi et etisk råd for kunstig intelligens? With Paul Chaffey, State Secretary to the Minister of Regional Development and Digitalisation, Mali Hole Skogen, Technology and Sustainability Director at ICT-Norway, Ishita Barua, MD and AI-researcher at the Faculty of Medicine, University of Oslo, panel moderated by journalist Marius Lorentzen from E24.
Barua, Ishita; Guerrero Vinsard, Daniela; Jodal, Henriette C.; Løberg, Magnus; Kalager, Mette; Holme, Øyvind; Masashi, Misawa; Bretthauer, Michael & Mori, Yuichi (2020). Artificial Intelligence for Polyp Detection during Colonoscopy: A Systematic Review and Meta-Analysis. Endoscopy. ISSN 0013-726X. . doi: 10.1055/a-1201-7165
Interview in Norwegian newspaper Aftenposten (2020, July 19th). Fra 2021 skal nordmenn masseundersøkes for tarmkreft. Ny teknologi kan gjøre det billigere og bedre.. Aftenposten.
Barua, Ishita (2020). Innlegg: Må holde algoritmene i ørene – tid for råd og regulering. Dagens næringsliv.
Barua, Ishita (2020). Hvem overvåker overvåkerne?. Morgenbladet.
Interview on live television on channel TV 2: God morgen Norge, TV 2 (2020, March 11th) regarding The Norwegian Biotechnology Advisory Board's stance on egg donation and assisted reproductive technology for single women.
Podcast "Studentersamfunnet" (2020, February 9th). Podcast: Studentersamfunnet om robotlegen.
Barua, Ishita (2019). Three ways Finland leads the world - and education isn't one of them. The World Economic Forum.
Barua, Ishita (2019). Livsviktige data: Kunstig intelligens i medisin. Medisinbloggen.
Barua, Ishita (2018). Kunstig intelligens kan i verste fall gjøre oss mindre intelligente. Morgenbladet.
Podcast "LØRN.Tech med Silvija Seres" (2019, October 16th). Kunstig intelligens innen helsevesenet.
Speaker for the Norwegian Communication Association (2020, November 19th): Ta i med AI – en innføring i hva algoritmer og kunstig intelligens betyr for oss i fremtiden
Speaker at EHiN 2020: "Implementation of AI in the Norwegian healthcare system". EHiN - the leading conference with focus on digitisation of the health sector in Norway.
Key note speaker at MEDEVENT 2019, a conference focusing on the future of healthcare: MEDEVENT 2019: Artificial Intelligence in Healthcare.

Schult, Anna Lisa; Botteri, Edoardo; Hoff, Geir; Holme, Øyvind; Bretthauer, Michael & Randel, Kristin Ranheim [Show all 13 contributors for this article] (2021). Women require routine opioids to prevent painful colonoscopies: a randomised controlled trial. Scandinavian Journal of Gastroenterology. ISSN 0036-5521. p. 1–11. doi: 10.1080/00365521.2021.1969683. Full text in Research Archive Show summary
Background: Women are at high risk for painful colonoscopy. Pain, but also sedation, are barriers to colorectal cancer (CRC) screening participation. In a randomised controlled trial, we compared on-demand with pre-colonoscopy opioid administration to control pain in women at CRC screening age. Methods: Women, aged 55-79 years, attending colonoscopy at two Norwegian endoscopy units were randomised 1:1:1 to (1) fentanyl on-demand, (2) fentanyl prior to colonoscopy, or (3) alfentanil on-demand. The primary endpoint was procedural pain reported by the patients on a validated four-point Likert scale and further dichotomized for the study into painful (moderate or severe pain) and non-painful (slight or no pain) colonoscopy. Secondary endpoints were: willingness to repeat colonoscopy, adverse events, cecal intubation time and rate, and post-procedure recovery time. Results: Between June 2017 and May 2020, 183 patients were included in intention-to-treat analyses in the fentanyl on-demand group, 177 in the fentanyl prior to colonoscopy group, and 179 in the alfentanil on-demand group. Fewer women receiving fentanyl prior to colonoscopy reported a painful colonoscopy compared to those who were given fentanyl on-demand (25.2% vs. 44.1%, p
Barua, Ishita; Guerrero Vinsard, Daniela; Jodal, Henriette C.; Løberg, Magnus; Kalager, Mette & Holme, Øyvind [Show all 9 contributors for this article] (2020). Artificial intelligence for polyp detection during colonoscopy: A systematic review and meta-analysis. Endoscopy. ISSN 0013-726X. doi: 10.1055/a-1201-7165.
Barua, Ishita; Mori, Yuichi & Bretthauer, Michael (2020). Colorectal polyp characterization with endocytoscopy: Ready for widespread implementation with artificial intelligence? Baillière's Best Practice & Research : Clinical Gastroenterology. ISSN 1521-6918. doi: 10.1016/j.bpg.2020.101721.
Schult, Anna Lisa; Randel, Kristin Ranheim; Barua, Ishita; Svendsen, Hege Marie; Bernklev, Linn & Sandvei, Per [Show all 9 contributors for this article] (2018). Screening mot tarmkreft i hele Norge. Indremedisineren. ISSN 1891-1617. 2, p. 25–29.

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Barua, Ishita & Vevle, Frank (2020). Medisin og kunstig intelligens med Ishita Barua. [Radio]. Podcast AICAST . Show summary
AICAST Frank Vevle, Michael Løiten En podcast fra fagkomiteen for AI (kunstig intelligens) i Den Norske Dataforening.
Barua, Ishita (2020). Digitalt fagseminar for Kommunikasjonsforeningen: Ta i med AI – en innføring i hva algoritmer og kunstig intelligens betyr for oss i fremtiden.
Barua, Ishita (2020). Kunstig intelligens – legenes nye superkrefter .
Barua, Ishita (2020). EHiN 2020: Implementering av AI i norsk helsevesen.
Barua, Ishita; Berset, Ingrid Prytz; Hære, Petter; Wensaas, Knut-Arne & Bretthauer, Michael (2020). Nasjonalt screeningprogram for tarmkreft. Tidsskrift for Den norske legeforening. ISSN 0029-2001. 140(3), p. 222–222. doi: 10.4045/tidsskr.19.0658.
Barua, Ishita (2020). Podcast: Studentersamfunnet om robotlegen. [Radio]. Spotify.
Slagstad, Ketil & Barua, Ishita (2020). Mye hype, men lite kunnskap om kunstig intelligens. [Journal]. Tidsskriftet.
Barua, Ishita (2020). Hvem overvåker overvåkerne? Morgenbladet. ISSN 0805-3847.
Stensland, Marianne; Barua, Ishita & Mori, Yuichi (2020). Fra 2021 skal nordmenn masseundersøkes for tarmkreft. Ny teknologi kan gjøre det billigere og bedre. [Newspaper]. Aftenposten.
Barua, Ishita (2020). God morgen Norge, TV 2. [TV]. TV 2.
Barua, Ishita (2020). Kunstig intelligens innenfor medisin og helsevesenet.
Barua, Ishita (2020). Algoritmene har stort skadepotensial. Dagens næringsliv. ISSN 0803-9372.
Barua, Ishita (2020). Kreftdagen: Ti viktige fakta om tykktarmskreft. Medisinbloggen.
Barua, Ishita (2020). Innlegg: Må holde algoritmene i ørene – tid for råd og regulering. Dagens næringsliv. ISSN 0803-9372.
Barua, Ishita; Chaffey, Paul & Skogen, Mali (2020). Universitetsplassen LIVE: Trenger vi et etisk råd for kunstig intelligens? [Internet]. https://www.uio.no/om/aktuelt/universitetsplassen/arrangemen.
Barua, Ishita (2019). EHiN 2019: Kunstig intelligens innen helsevesenet .
Barua, Ishita (2019). Arbeiderklassen trengs i akademia. Khrono.no. ISSN 1894-8995.
Seres, Silvija & Barua, Ishita (2019). Kunstig intelligens innen helsevesenet. [Radio]. LØRN.Tech (Podcast).
Barua, Ishita (2019). Arbeiderklassen trengs i akademia. Agenda Magasin.
Barua, Ishita (2019). Arbeiderklassen trengs i akademia. Forskerforum.no.
Barua, Ishita (2019). Three ways Finland leads the world - and education isn't one of them. Agenda - The World Economic Forum.
Barua, Ishita; Glomsrød, Maren; Martinaityte, Ieva & Sarna, Vikas Kumar (2019). Vårmøte og kurs for leger i spesialisering i indremedisin. Indremedisineren. ISSN 1891-1617. 2, p. 42–43.
Barua, Ishita (2019). Livsviktige data: Kunstig intelligens i medisin. Medisinbloggen.
Barua, Ishita (2019). MEDEVENT 2019: Kunstig intelligens innen helse (Keynote).
Barua, Ishita (2018). Kunstig intelligens kan i verste fall gjøre oss mindre intelligente. Morgenbladet. ISSN 0805-3847.
Slørdahl, Johannes Thomassen & Barua, Ishita (2013). Er innføring av karakterer veien å gå? Tidsskrift for Den norske legeforening. ISSN 0029-2001. doi: 10.4045/tidsskr.13.1231.

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Published Nov. 12, 2018 8:56 AM - Last modified June 7, 2021 8:32 PM

Projects

Research groups

Clinical Effectiveness Research