Ishita Barua

Department of Health Management and Health Economics

Norwegian version of this page

Email ishita.barua@medisin.uio.no

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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 was a visiting researcher at BIDMC and Harvard Medical School in Boston, USA, in 2021.

She is currently a deputy member of the Norwegian Biotechnology Advisory Board, appointed by the Norwegian government. 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, and in 2022 she was named one of Norway's leading Tech-Women by Abelia and ODA. She has previously worked as a Resident Doctor in Gastroenterology and Internal Medicine, and served as the President of Young Internists of Norway.

Academic interests

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

Education

2019-present: PhD Candidate, Clinical Effectiveness Research Group, Oslo University Hospital and University of Oslo
Visiting researcher at BIDMC and Harvard Medical School, Boston, USA.
2015-2020: 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
Best Abstract 2022, The Norwegian Gastroenterology Society
Top 4 Best Abstract 2022 (grant winner), European Society of Gastrointestinal Endoscopy (ESGE)
Norway's 50 Leading Tech-Women by Abelia and ODA

Clinical Experience

2019-2020: 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
2014: MD Student License, Dep. of GI surgery, Akershus University Hospital
2013: Health Center Physician (MD Student License), Fyrstikktorget Health Center, Municipality of Oslo

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
2019-2021: 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.

Yu, Jingru; Refsum, Erle; Helsingen, Lise Mørkved; Folseraas, Trine; Ploner, Alexander & Wieszczy, Paulina [Show all 15 contributors for this article] (2022). Risk of hepato-pancreato-biliary cancer is increased by primary sclerosing cholangitis in patients with inflammatory bowel disease: A population-based cohort study. United European Gastroenterology journal. ISSN 2050-6406. 10(2), p. 212–224. doi: 10.1002/ueg2.12204.
Helsingen, Lise Mørkved; Løberg, Magnus; Refsum, Erle; Gjøstein, Dagrun Kyte; Wieszczy, Paulina & Olsvik, Ørjan [Show all 16 contributors for this article] (2021). Covid-19 transmission in fitness centers in Norway - a randomized trial. BMC Public Health. ISSN 1471-2458. 21, p. 1–9. doi: 10.1186/s12889-021-12073-0. Full text in Research Archive
Jodal, Henriette C.; Klotz, Dagmar; Herfindal, Magnhild; Barua, Ishita; Tag, Petter & Helsingen, Lise Mørkved [Show all 12 contributors for this article] (2021). Long-term colorectal cancer incidence and mortality after adenoma removal in women and men. Alimentary Pharmacology and Therapeutics. ISSN 0269-2813. p. 1–10. doi: 10.1111/apt.16686.
Juul, Frederik E.; Jodal, Henriette C.; Barua, Ishita; Refsum, Erle; Olsvik, Ørjan & Helsingen, Lise Mørkved [Show all 10 contributors for this article] (2021). Mortality in Norway and Sweden during the COVID-19 pandemic. Scandinavian Journal of Public Health. ISSN 1403-4948. p. 1–8. doi: 10.1177/14034948211047137. Full text in Research Archive
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. 56(12), p. 1480–1489. 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; 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.
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.
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 (2021). Utviklere av kunstig intelligens må få det leger har. Nemlig en profesjonsetikk. Aftenposten (morgenutg. : trykt utg.). ISSN 0804-3116.
Barua, Ishita; Goodwin, Morten; Brøgger, Helga Maria; Pettersen, Klas Henning & Fattah, Ida Susanna (2021). Verdien av kunstig intelligens i helse.
Barua, Ishita & Strumke, Inga (2021). Utviklere av kunstig intelligens må få det leger har. Nemlig en profesjonsetikk. Aftenposten (morgenutg. : trykt utg.). ISSN 0804-3116.
Barua, Ishita (2021). Når skal Norge engasjere seg i EU-forslaget om kunstig intelligens? Dagens næringsliv. ISSN 0803-9372.
Schreurs, Nard & Barua, Ishita (2021). En avmystifisering av AI, algoritmer og BigData . [Internet]. https://ehin.no/artikler/en-avmystifisering-av-ai-algoritmer.
Barua, Ishita (2020). Kunstig intelligens – legenes nye superkrefter .
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). EHiN 2020: Implementering av AI i norsk helsevesen.
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). Algoritmene har stort skadepotensial. 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 (2020). Innlegg: Må holde algoritmene i ørene – tid for råd og regulering. Dagens næringsliv. ISSN 0803-9372.
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). Hvem overvåker overvåkerne? Morgenbladet. ISSN 0805-3847.
Barua, Ishita (2020). Podcast: Studentersamfunnet om robotlegen. [Radio]. Spotify.
Barua, Ishita (2020). Kunstig intelligens innenfor medisin og helsevesenet.
Slagstad, Ketil & Barua, Ishita (2020). Mye hype, men lite kunnskap om kunstig intelligens. [Journal]. Tidsskriftet.
Barua, Ishita (2020). God morgen Norge, TV 2. [TV]. TV 2.
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). Kreftdagen: Ti viktige fakta om tykktarmskreft. Medisinbloggen.
Barua, Ishita (2019). Livsviktige data: Kunstig intelligens i medisin. Medisinbloggen.
Barua, Ishita (2019). MEDEVENT 2019: Kunstig intelligens innen helse (Keynote).
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. Forskerforum.no.
Barua, Ishita (2019). Arbeiderklassen trengs i akademia. Agenda Magasin.
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). Three ways Finland leads the world - and education isn't one of them. Agenda - The World Economic Forum.
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 Mar. 22, 2022 1:20 PM

Projects

Research groups

Clinical Effectiveness Research