A5008796850- Artificial Intelligence in Healthcare and Education
- Radiomics and Machine Learning in Medical Imaging
- Management of metastatic bone disease
- Advanced X-ray and CT Imaging
- Ultrasound and Hyperthermia Applications
- Radiology practices and education
- Spine and Intervertebral Disc Pathology
- Advanced Radiotherapy Techniques
- COVID-19 diagnosis using AI
- Medical Imaging and Analysis
- Explainable Artificial Intelligence (XAI)
- AI in cancer detection
- Medical Imaging Techniques and Applications
- Medical Imaging and Pathology Studies
- Spinal Fractures and Fixation Techniques
- MRI in cancer diagnosis
- Clinical Reasoning and Diagnostic Skills
- Autopsy Techniques and Outcomes
- Peripheral Nerve Disorders
- Delphi Technique in Research
- Microwave Imaging and Scattering Analysis
- Healthcare cost, quality, practices
- Radiation Dose and Imaging
- Sepsis Diagnosis and Treatment
- Renal cell carcinoma treatment
Radboud University Nijmegen
1985-2025
Radboud University Medical Center
2022-2025
University Medical Center
2024-2025
University Hospital and Clinics
2025
Mayo Clinic in Arizona
2025
University Health Network
2025
University of Washington
2025
Robert Bosch (United States)
2024
Hospital of the University of Pennsylvania
2024
Universidade Federal de São Paulo
2024
Radiologists' perception is likely to influence the adoption of artificial intelligence (AI) into clinical practice. We investigated knowledge and attitude towards AI by radiologists residents in Europe beyond.Between April July 2019, a survey on fear replacement, knowledge, was accessible residents. The distributed through several radiological societies, author networks, social media. Independent predictors replacement positive were assessed using multivariable logistic regression.The...
Background The coronavirus disease 2019 (COVID-19) pandemic led to far-reaching restrictions of social and professional life, affecting societies all over the world. To contain virus, medical schools had restructure their curriculum by switching online learning. However, only few implemented such novel learning concepts. We aimed evaluate students’ attitudes provide a broad scientific basis guide future development education. Methods Overall, 3286 students from 12 different countries...
Currently, hurdles to implementation of artificial intelligence (AI) in radiology are a much-debated topic but have not been investigated the community at large. Also, controversy exists if and what extent AI should be incorporated into residency programs.Between April July 2019, an international survey took place on regarding its impact profession training. The was accessible for radiologists residents distributed through several radiological societies. Relationships independent variables...
Background The prognosis of hospitalized patients with severe coronavirus disease 2019 (COVID-19) is difficult to predict, and the capacity intensive care units was a limiting factor during peak pandemic generally dependent on country's clinical resources. Purpose To determine value chest radiographic findings together patient history laboratory markers at admission predict critical illness in COVID-19. Materials Methods In this retrospective study, which included from March 7, 2020, April...
Background Multiple commercial artificial intelligence (AI) products exist for assessing radiographs; however, comparable performance data these algorithms are limited. Purpose To perform an independent, stand-alone validation of commercially available AI bone age prediction based on hand radiographs and lung nodule detection chest radiographs. Materials Methods This retrospective study was carried out as part Project AIR. Nine 17 eligible were validated from seven Dutch hospitals. For...
Abstract Objective To systematically review radiomic feature reproducibility and model validation strategies in recent studies dealing with CT MRI radiomics of bone soft-tissue sarcomas, thus updating a previous version this which included published up to 2020. Methods A literature search was conducted on EMBASE PubMed databases for papers between January 2021 March 2023. Data regarding were extracted analyzed. Results Out 201 identified papers, 55 included. They dealt ( n = 23) or 32)...
Abstract This statement has been produced within the European Society of Radiology AI Working Group and identifies key policies EU Act as they pertain to medical imaging. It offers specific recommendations policymakers professional community for effective implementation legislation, addressing potential gaps uncertainties. Key areas include literacy, classification rules high-risk systems, data governance, transparency, human oversight, quality management, deployer obligations, regulatory...
Magnetic resonance-guided high intensity focused ultrasound (MR-HIFU) has recently emerged as an effective treatment option for painful bone metastases. We describe here the first experience with volumetric MR-HIFU palliative of metastases and evaluate technique on three levels: technical feasibility, safety, initial effectiveness.In this observational cohort study, 11 consecutive patients (7 male 4 female; median age, 60 years; age range, 53-86 years) underwent 13 treatments 12 All...
Increasing evidence shows that flaws in machine learning (ML) algorithm validation are an underestimated global problem. Particularly automatic biomedical image analysis, chosen performance metrics often do not reflect the domain interest, thus failing to adequately measure scientific progress and hindering translation of ML techniques into practice. To overcome this, our large international expert consortium created Metrics Reloaded, a comprehensive framework guiding researchers...
Severity of degenerative scoliosis (DS) is assessed by measuring the Cobb angle on anteroposterior radiographs. However, MRI images are often available to study spine. This retrospective aims develop and evaluate reliability a novel automatic method that measures coronal angles lumbar in DS patients.
Abstract Objectives To investigate the intra- and inter-rater reliability of total methodological radiomics score (METRICS) its items through a multi-reader analysis. Materials methods A 12 raters with different backgrounds experience levels were recruited for study. Based on their level expertise, randomly assigned to following groups: two groups, intra-rater where each group included one without preliminary training session use METRICS. Inter-rater groups assessed all 34 papers, while...
Magnetic resonance (MR)-guided high-intensity focused ultrasound has emerged as a clinical option for palliative treatment of painful bone metastases, with MR thermometry (MRT) used monitoring. In this study, the general image quality MRT was assessed in terms signal-to-noise ratio (SNR) and apparent temperature variation. Also, artifacts were scored their occurrence hampering