A5078511730- Colorectal Cancer Screening and Detection
- Radiomics and Machine Learning in Medical Imaging
- Inflammatory Bowel Disease
- Gastric Cancer Management and Outcomes
- COVID-19 and healthcare impacts
- AI in cancer detection
- COVID-19 Clinical Research Studies
- Infection Control and Ventilation
- Pancreatic and Hepatic Oncology Research
- Gastrointestinal Bleeding Diagnosis and Treatment
- Mycobacterium research and diagnosis
- Microscopic Colitis
- Dental Research and COVID-19
- COVID-19 diagnosis using AI
- Venous Thromboembolism Diagnosis and Management
- Colorectal Cancer Surgical Treatments
- Intestinal Malrotation and Obstruction Disorders
- Thyroid and Parathyroid Surgery
- Esophageal Cancer Research and Treatment
- Anorectal Disease Treatments and Outcomes
- Bariatric Surgery and Outcomes
- Peripheral Artery Disease Management
- Medical Device Sterilization and Disinfection
- Ovarian function and disorders
- Gynecological conditions and treatments
Universitair Ziekenhuis Leuven
2018-2025
KU Leuven
2019-2025
Catholic University of America
2021
Abstract This ESGE Position Statement defines the expected value of artificial intelligence (AI) for diagnosis and management gastrointestinal neoplasia within framework performance measures already defined by ESGE. is based on clinical relevance task preliminary evidence regarding in or settings. Main recommendations: (1) For acceptance AI assessment completeness upper GI endoscopy, adequate level mucosal inspection with should be comparable to that assessed experienced endoscopists. (2)...
On March 11th 2020, the World Health Organization (WHO) declared COVID-19 pandemic, with subsequent profound impact on entire health care system.During outbreak, activities in rhinology outpatient clinic and operation rooms are limited to emergency only.Health practitioners faced need perform rhinological skull base procedures patients a positive or unknown status.This article aims provide recommendations relevant information for rhinologists, based amount of (anecdotal) data, guarantee...
Background and aim Randomised trials show improved polyp detection with computer-aided (CADe), mostly of small lesions. However, operator selection bias may affect CADe’s true benefit. Clinical outcomes increased have not yet been fully elucidated. Methods In this multicentre trial, CADe combining convolutional recurrent neural networks was used for detection. Blinded endoscopists were monitored in real time by a second observer access. detections prompted reinspection. Adenoma rates (ADR)...
Artificial intelligence (AI) holds significant potential for enhancing quality of gastrointestinal (GI) endoscopy, but the adoption AI in clinical practice is hampered by lack rigorous standardisation and development methodology ensuring generalisability. The aim Quality Assessment pre-clinical studies Diagnostic Endoscopy (QUAIDE) Explanation Checklist was to develop recommendations standardised design reporting preclinical GI endoscopy.The were developed based on a formal consensus...
Abstract Single-wavelength endoscopy (SWE) has shown promising results in assessing histological disease activity ulcerative colitis. Our objective was to validate the real-time performance of a bedside prototype SWE computer-aided diagnosis (CAD) as proof concept. A module for use evaluated when performed rectum and sigmoid based on white-light (410 nm monochromatic light). Biopsies were taken reference scored using Geboes score (GBS). SWE-CAD displayed blue or red indicator, corresponding...
The COVID-19 pandemic, declared by WHO on March 13, 2020, had a major global impact the healthcare system and services. In acute phase, presence of SARS-CoV-2 virus in aerodigestive tract limited activities gastroenterology clinic procedures to emergencies only. Motility function testing was interrupted as we enter recovery restarting these requires safety-focused approach with adequate infection prevention for patients professionals.We summarized knowledge risk spread motility functional...
### Summary box #### What is already known about this subject? #### are the new findings? #### How might it impact on clinical practice in foreseeable future? In prospective multicentre …
Aims To develop and validate a new scale for mucosal visualization of the upper gastrointestinal tract during esophagogastroduodenoscopy (EGD), Gastroscopy RAte Cleanliness Evaluation (GRACE), as quality standard tool through application standardized, reliable, validated scoring system.
Venous thromboembolism (VTE) frequently occurs in hospitalized patients with coronavirus disease 2019 (COVID-19). The optimal dose of anticoagulation for thromboprophylaxis COVID-19 is unknown.
Red density (RD) technology is an automated operator-independent endoscopic scoring system for disease activity in ulcerative colitis (UC). In this retrospective analysis we aimed to assess the predictive value of RD sore sustained clinical remission. All 39 patients from pilot trial were evaluated outcome a 5-year period. The highest score was considered Receiver operating characteristic (ROC) determine cut-off composite endpoint treatment failure (defined as mortality, colectomy,...
Abstract Background Red Density (RD) is an automated endoscopic tool that developed for the objective evaluation of disease activity in ulcerative colitis (UC). The initial development integrated histological based on Robarts index (RHI) machine learning algorithm. New scores UC have been since. aim this study was to establish correlation between RD and Nancy (NHI) PICaSSO Histologic Remission Index (PHRI). Methods Patients included 4 centers ongoing PROCEED-UC (NCT04408703) had assessment...