A5071241739- AI in cancer detection
- Radiomics and Machine Learning in Medical Imaging
- Digital Radiography and Breast Imaging
- Artificial Intelligence in Healthcare and Education
- MRI in cancer diagnosis
- Oral Health Pathology and Treatment
- Medical Imaging Techniques and Applications
- RNA modifications and cancer
- Cancer and Skin Lesions
- Breast Cancer Treatment Studies
- RNA Research and Splicing
- Nail Diseases and Treatments
- RNA and protein synthesis mechanisms
Hospital Universitario Reina Sofía
2017-2024
Instituto Maimónides de Investigación Biomédica de Córdoba
2021-2024
University of Córdoba
2023
Background The workflow of breast cancer screening programs could be improved given the high workload and number false-positive false-negative assessments. Purpose To evaluate if using an artificial intelligence (AI) system reduce without reducing detection in with digital mammography (DM) or tomosynthesis (DBT). Materials Methods Consecutive screening-paired independently read DM DBT images acquired from January 2015 to December 2016 were retrospectively collected Córdoba Tomosynthesis...
Background Use of artificial intelligence (AI) as a stand-alone reader for digital mammography (DM) or breast tomosynthesis (DBT) screening could ease radiologists' workload while maintaining quality. Purpose To retrospectively evaluate the performance an AI system independent DM and DBT examinations. Materials Methods Consecutive screening-paired independently read images acquired between January 2015 December 2016 were collected from Tomosynthesis Cordoba Screening Trial. An computed...
This work aims to compare the interval cancer rate and characteristics between women screened with digital breast tomosynthesis (DBT) + mammography (DM) those DM alone.
Abstract Objectives To evaluate the impact of using an artificial intelligence (AI) system as support for human double reading in a real-life scenario breast cancer screening program with digital mammography (DM) or tomosynthesis (DBT). Material and methods We analyzed performance after implementarion AI decision support. The study group consisted consecutive cohort 1 year between March 2021 2022 where was performed concurrent that automatically detects highlights lesions suspicious...
Breast cancer (BCa) is a highly prevalent pathological condition (̴30% in women) with limited and subtype-dependent prognosis therapeutic options. Therefore, BCa management might benefit from the identification of novel molecular elements clinical potential. Since splicing process gaining great relevance cancer, this work analysed expression multiple Spliceosome Components (SCs = 17) Splicing Factors (SFs 26) found drastic dysregulation (n 69) vs. control (negative biopsies; n 50) samples....