Oslo University Hospital

Cost-effectiveness of artificial intelligence for screening colonoscopy: a modelling study

Miguel Areia, Yuichi Mori, Loredana Correale et al.

2022 · 214 Zit.

Endoscopist deskilling risk after exposure to artificial intelligence in colonoscopy: a multicentre, observational study

Krzysztof Budzyń, Marcin Romańczyk, Diana Kitala et al.

2025 · 111 Zit.

Ask Rosa – The making of a digital genetic conversation tool, a chatbot, about hereditary breast and ovarian cancer

Elen Siglen, Hildegunn Høberg‐Vetti, Aslaug Beathe Forberg Lunde et al.

2021 · 91 Zit.

Artificial intelligence in neurology: opportunities, challenges, and policy implications

Sebastian Voigtlaender, Johannes Pawelczyk, Mario Geiger et al.

2024 · 81 Zit.

The Open Brain Consent: Informing research participants and obtaining consent to share brain imaging data

Élise Bannier, Gareth J. Barker, Valentina Borghesani et al.

2021 · 60 Zit.

Can I trust my fake data – A comprehensive quality assessment framework for synthetic tabular data in healthcare

Vibeke Binz Vallevik, Aleksandar Babić, Serena Marshall et al.

2024 · 49 Zit.

Artificial intelligence

Anna Marielle B. Dy, Daniela Mennickent, E. Castro et al.

2023 · 47 Zit.

Expanding the medical physicist curricular and professional programme to include Artificial Intelligence

Federica Zanca, Irene Hernández‐Girón, Michele Avanzo et al.

2021 · 46 Zit.

Head and neck cancer treatment outcome prediction: a comparison between machine learning with conventional radiomics features and deep learning radiomics

Bao Ngoc Huynh, Aurora Rosvoll Groendahl, Oliver Tomić et al.

2023 · 39 Zit.

Computer aided detection and diagnosis of polyps in adult patients undergoing colonoscopy: a living clinical practice guideline

Farid Foroutan, Per Olav Vandvik, Lise Mørkved Helsingen et al.

2025 · 32 Zit.

Dissecting Deep Neural Networks for Better Medical Image Classification and Classification Understanding

Steven A. Hicks, Michael A. Riegler, Konstantin Pogorelov et al.

2018 · 26 Zit.

Predicting Anterior Cruciate Ligament Reconstruction Revision: A Machine Learning Analysis Utilizing the Norwegian Knee Ligament Register.

R. Kyle Martin, Solvejg Wastvedt, Ayoosh Pareek et al.

2022 · 26 Zit.

Multimodal deep learning improves recurrence risk prediction in pediatric low-grade gliomas

Maryamalsadat Mahootiha, Divyanshu Tak, Zezhong Ye et al.

2024 · 24 Zit.

MedAI: Transparency in Medical Image Segmentation

Steven A. Hicks, Debesh Jha, Vajira Thambawita et al.

2021 · 23 Zit.

Incidence of Data Duplications in a Randomly Selected Pool of Life Science Publications

Morten P. Oksvold

2015 · 21 Zit.