Accès ouvert
2025
article
OpenAlex
M R Jong, Tim G. W. Boers, Kiki N. Fockens, J B Jukema et autres
BACKGROUND & AIMS: Training deep learning systems in endoscopy generally requires vast datasets of annotated images, which are often scarce and costly to obtain. Foundation models are pretrained on large, diverse datasets and can be applied across a wide range of tasks …
nl, be
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Accès ouvert
2025
article
OpenAlex
M R Jong, Tim J. M. Jaspers, Carolus H. J. Kusters, J B Jukema et autres
BACKGROUND: Endoscopic deep learning systems are often developed using high-quality imagery obtained from expert centers. Therefore, they may underperform in community hospitals where image quality is more heterogeneous. OBJECTIVE: This study aimed to quantify the performance degradation of a computer aided detection …
nl
(code pays fourni par la source)
Accès ouvert
2025
article
OpenAlex
Jelmer B. Jukema, Martijn R. Jong, Carolus H. J. Kusters, Rixta van Eyck van Heslinga et autres
BACKGROUND AND AIMS: Human-computer interaction, particularly the graphic user interface (GUI) for displaying detection results, is an important but underexplored aspect of computer-aided detection (CADe) systems in endoscopy. We explored whether the use of a bounding box GUI or a heatmap GUI …
nl
(code pays fourni par la source)
Accès ouvert
2025
article
OpenAlex
Rixta A. H. van Eijck van Heslinga, Jacques J.G.H.M. Bergman, Albert J. de Groof
Barrett's esophagus (BE) is a known precursor for esophageal adenocarcinoma. Despite advances in endoscopic imaging modalities, endoscopic detection of BE neoplasia remains challenging, with considerable miss rates. Over the past years, artificial intelligence (AI) has emerged as a promising tool that may …
nl
(code pays fourni par la source)
Accès ouvert
2024
article
OpenAlex
Jelmer B. Jukema, Carolus H. J. Kusters, Martijn R. Jong, Kiki N. Fockens et autres
BACKGROUND AND AIMS: Characterization of visible abnormalities in patients with Barrett's esophagus (BE) can be challenging, especially for inexperienced endoscopists. This results in suboptimal diagnostic accuracy and poor interobserver agreement. Computer-aided diagnosis (CADx) systems may assist endoscopists. We aimed to develop, validate, …
nl, au, ch, se, pt, fr, gb, de
(code pays fourni par la source)
Accès ouvert
2024
article
OpenAlex
Kiki N. Fockens, Jelmer B. Jukema, Martijn R. Jong, Tim G. W. Boers et autres
BACKGROUND AND AIMS: This pilot study evaluated the performance of a recently developed computer-aided detection (CADe) system for Barrett's neoplasia during live endoscopic procedures. METHODS: Fifteen patients with a visible lesion and 15 without were included in this study. A CAD-assisted workflow …
nl
(code pays fourni par la source)
Accès ouvert
2024
article
OpenAlex
Fons van der Sommen, Albert J. de Groof
As the technology driving artificial intelligence (AI) is improving at an unprecedented pace, it has also found its way to a broader audience. Not only in the form of general purpose applications, such as ChatGPT (https://chat.openai.com/) for language or Midjourney (https://www.midjourney.com/home) for …
nl
(code pays fourni par la source)
Accès ouvert
2023
article
OpenAlex
Martijn R. Jong, Albert J. de Groof
Barrett's esophagus (BE) is a precursor disease for esophageal adenocarcinoma. Timely detection and treatment has significant influence on patient outcomes. Over the last years, several artificial intelligence (AI) systems have emerged to assist the endoscopist. The primary focus of research has been …
nl
(code pays fourni par la source)
Accès ouvert
2023
article
OpenAlex
Kiki N. Fockens, M R Jong, J B Jukema, Tim G. W. Boers et autres
BACKGROUND: Computer-aided detection (CADe) systems could assist endoscopists in detecting early neoplasia in Barrett's oesophagus, which could be difficult to detect in endoscopic images. The aim of this study was to develop, test, and benchmark a CADe system for early neoplasia in …
nl, au, ch, se, pt, fr, gb, de
(code pays fourni par la source)
Accès ouvert
2023
article
OpenAlex
Kiki N. Fockens, Jelmer B. Jukema, Tim G. W. Boers, Martijn R. Jong et autres
INTRODUCTION: Endoscopic detection of early neoplasia in Barrett's esophagus is difficult. Computer Aided Detection (CADe) systems may assist in neoplasia detection. The aim of this study was to report the first steps in the development of a CADe system for Barrett's neoplasia …
nl, au, ch, se, fr, gb, de
(code pays fourni par la source)
Accès ouvert
2022
article
OpenAlex
Albert J. de Groof
Over the past decade we have seen a rapid increase in the use of artificial intelligence (AI) systems in the endoscopic literature, most of which has been focused on colonic applications. The field is now moving forward rapidly, with implementation of the …
nl
(code pays fourni par la source)
Accès ouvert
2020
article
OpenAlex
Maarten R. Struyvenberg, Albert J. de Groof, Allon Kahn, Bas L.A.M. Weusten et autres
Volumetric laser endomicroscopy (VLE) has been shown to improve detection of early neoplasia in Barrett's esophagus (BE). However, diagnostic performance using histopathology-correlated VLE regions of interest (ROIs) has not been adequately studied. We evaluated the diagnostic accuracy of VLE assessors for identification …
nl, us
(code pays fourni par la source)