Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1016/j.eururo.2017.12.006 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Evaluating the pathological and clinical implications of errors made by an artificial intelligence colon biopsy screening tool.
BMJ Open Gastroenterol
January 2025
Histopathology, University Hospitals Coventry and Warwickshire NHS Trust, Coventry, UK.
Objective: Artificial intelligence (AI) tools for histological diagnosis offer great potential to healthcare, yet failure to understand their clinical context is delaying adoption. IGUANA (Interpretable Gland-Graphs using a Neural Aggregator) is an AI algorithm that can effectively classify colonic biopsies into normal versus abnormal categories, designed to automatically report normal cases. We performed a retrospective pathological and clinical review of the errors made by IGUANA.
View Article and Find Full Text PDFHow Useful is Nuchal Translucency in Detecting Chromosomal Abnormalities Missed by Genome-Wide NIPT and What Measurement Threshold Should Be Used?
Prenat Diagn
January 2025
Discipline of Women's Health, University of New South Wales, Randwick, Australia.
Introduction: Genome-wide non-invasive prenatal testing (gwNIPT) has screening limitations for detectable genetic conditions and cannot detect microdeletions/microduplications (MD) or triploidy. Nuchal translucency (NT) increases with gestation and with genetic or structural abnormalities. This study aims to determine the utility of NT measurement in detecting genetic abnormalities not identified by gwNIPT and the optimal NT threshold value.
View Article and Find Full Text PDFSpatially adaptive variable screening in presurgical functional magnetic resonance imaging data analysis.
Biometrics
October 2024
Department of Statistics, North Carolina State University, Raleigh, NC 27695, United States.
Accurate delineation of functional brain regions adjacent to tumors is imperative for planning neurosurgery that preserves critical functions. Functional magnetic resonance imaging (fMRI) plays an increasingly pivotal role in presurgical counseling and planning. In the analysis of presurgical fMRI data, the impact of false negatives on patients surpasses that of false positives because failure to identify functional regions and unintentionally resecting critical tissues can result in severe harm to patients.
View Article and Find Full Text PDFA prospectively deployed deep learning-enabled automated quality assurance tool for oncological palliative spine radiation therapy.
Lancet Digit Health
January 2025
Department of Radiation Oncology, Brigham and Women's Hospital, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA; Artificial Intelligence in Medicine (AIM) Program, Mass General Brigham, Harvard Medical School, Boston, MA, USA. Electronic address:
Background: Palliative spine radiation therapy is prone to treatment at the wrong anatomic level. We developed a fully automated deep learning-based spine-targeting quality assurance system (DL-SpiQA) for detecting treatment at the wrong anatomic level. DL-SpiQA was evaluated based on retrospective testing of spine radiation therapy treatments and prospective clinical deployment.
View Article and Find Full Text PDFCancers not detected in one-view breast tomosynthesis screening-characteristics and reasons for non-detection.
Eur Radiol
December 2024
Radiology Diagnostics, Department of Translational Medicine, Lund University, Skåne University Hospital, Malmö, Sweden.
Objectives: Limited understanding exists regarding non-detected cancers in digital breast tomosynthesis (DBT) screening. This study aims to classify non-detected cancers into true or false negatives, compare them with true positives, and analyze reasons for non-detection.
Materials And Methods: Conducted between 2010 and 2015, the prospective single-center Malmö Breast Tomosynthesis Screening Trial (MBTST) compared one-view DBT and two-view digital mammography (DM).
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!