A5063300833- AI in cancer detection
- Radiomics and Machine Learning in Medical Imaging
- Medical Imaging and Analysis
- Technology Adoption and User Behaviour
- Artificial Intelligence in Healthcare and Education
- Diverse Approaches in Healthcare and Education Studies
Bio-Medical Science (South Korea)
2025
Hongik University
2023
As in other domains, artificial intelligence is becoming increasingly important medicine. In particular,deep learning-based pattern recognition methods can advance the field of pathology byincorporating clinical, radiologic, and genomic data to accurately diagnose diseases predictpatient prognoses. this review, we present an overview intelligence, brief historyof medical domain, recent advances applied topathology, future prospects driven by intelligence.
The Gleason grading system, currently the most powerful prognostic predictor of prostate cancer, is based solely on tumor's histological architecture and has high inter-observer variability. We propose an automated scoring system deep neural networks for diagnosis core needle biopsy samples. To verify its efficacy, was trained using 1133 cases samples validated 700 cases. Further, system-based results were compared with reference standards derived from three certified pathologists. In...
Prostate cancer (PCa) diagnosis faces significant challenges due to its complex pathological characteristics and insufficient pathologist resources. While deep learning-based image analysis (DLIA) shows promise in enhancing diagnostic accuracy, application radical prostatectomy (RP) specimens remains underexplored. In this study, we evaluated the clinical feasibility prognostic value of a DLIA algorithm for Gleason grading tumor quantification on whole RP specimens. Using 29,646 digitized...
This study is a on the user experience of offline meeting-linked social discovery applications.Social has become new way to build interpersonal relationships by finding people who meet their tastes and interests through applications meeting share information experiences with