Debesh Jha, Sharib Ali, Nikhil Kumar Tomar, Håvard D. Johansen et al.
Computer-aided detection, localisation, and segmentation methods can help improve colonoscopy procedures. Even though many methods have been built to tackle automatic detection and segmentation of polyps, benchmarking of state-of-the-art methods still remains an open problem. This is due to the incr...
Cathal Gurrin, Klaus Schoeffmann, Hideo Joho, Andreas Leibetseder et al.
The Lifelog Search Challenge (LSC) is an international content retrieval competition that evaluates search for personal lifelog data. At the LSC, content-based search is performed over a multi-modal dataset, continuously recorded by a lifelogger over 27 days, consisting of multimedia content, biomet...
Fredrik Fineide, Andrea M. Storås, Xiangjun Chen, Morten Schjerven Magnø et al.
Dry eye disease is one of the most common ophthalmological complaints and is defined by a loss of tear film homeostasis. Establishing a diagnosis can be time-consuming, resource demanding and unpleasant for the patient. In this pilot study, we retrospectively included clinical data from 431 patients...
Gunn Astrid Baugerud, Miriam S. Johnson, Rachel E. Dianiska, Ragnhild Klingenberg Røed et al.
= 68) took part in a virtual reality (VR) study in which they questioned an avatar presented as a child victim of sexual or physical abuse. Of interest was how interviewers questioned the avatar, how productive the child avatar was in response, and how interviewers perceived the VR interaction. Find...
Ragnhild Klingenberg Røed, Martine B. Powell, Michael A. Riegler, Gunn Astrid Baugerud
BACKGROUND: Child investigative interviewing is a complex skill requiring specialised training. A critical training element is practice. Simulations with digital avatars are cost-effective options for delivering training. This study of real-world data provides novel insights evaluating a large numbe...
Magnhild Vikan, Ramtin Aryan, Mari Serine Kannelønning, Michael Riegler et al.
The launch of ChatGPT in November 2022 accelerated discussions and research into whether base large language models (LLMs) could increase the efficiency of qualitative analysis phases or even replace qualitative researchers. Reflexive thematic analysis (RTA) is a commonly used method for qualitative...
Hugo L. Hammer, Vajira Thambawita, Michael A. Riegler
Artificial intelligence (AI) in ART has traditionally employed narrow, task-specific models for procedures such as embryo selection and sperm analysis. Although effective, these systems depend on extensive manual annotation and address isolated tasks rather than integrating the diverse data generate...
Andrea M. Storås, S. Maeland, Jonas L. Isaksen, Steven A. Hicks et al.
OBJECTIVE: Evaluate popular explanation methods using heatmap visualizations to explain the predictions of deep neural networks for electrocardiogram (ECG) analysis and provide recommendations for selection of explanations methods. MATERIALS AND METHODS: A residual deep neural network was trained on...
Andrea M. Storås, Maximilian Dreyer, Frederik Pahde, Sebastian Lapuschkin et al.
Complex artificial intelligence models, like deep neural networks, have shown exceptional capabilities to detect early-stage polyps and tumors in the gastrointestinal tract. These technologies are already beginning to assist gastroenterologists in the endoscopy suite. To understand how these complex...
Sajad Amouei Sheshkal, Michael A. Riegler, Hugo L. Hammer
CHIP-Seq data is critical for identifying the locations where proteins bind to DNA, offering valuable insights into disease molecular mechanisms and potential therapeutic targets. However, identifying regions of protein binding, or peaks, in CHIP-seq data can be challenging due to limitations in pea...
Alireza Nik, Michael A. Riegler, Pål Halvorsen
Decoding strategies significantly influence the quality and diversity of the generated text in Large Language Models (LLMs), yet their impact on computational resources, particularly GPU energy consumption, is insufficiently studied. This paper investigates the relationship between decoding techniqu...
Catharina Drejer, Saeed Shafiee Sabet, Gunn Astrid Baugerud, Michael A. Riegler
Fredrik Fineide, Jeffrey Bair, Tor Paaske Utheim, Michael A. Riegler et al.
Dry eye disease is an inflammatory disease of the ocular surface and one of the most common pathologies in medicine. This multifactorial disease can cause significant morbidity and visual disturbance. The ocular tear film consists of an outer lipid layer, an underlying aqueous layer and an innermost...
Radhika Kakulavarapu, Erwan Delbarre, Akriti Sharma, David Jahanlu et al.
Introduction Artificial intelligence tools show promise in supporting clinical decision making, but their safe use requires evaluation of not only accuracy, but also agreement with experts and interpretability of model decisions. The aim of this study was to evaluate the accuracy and agreement of hu...
Hugo L. Hammer, Vajira Thambawita, Michael A. Riegler