Yazhi Luo

ORCID: 0009-0003-9097-6313
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About
Contact & Profiles
Research Areas
  • Orthopaedic implants and arthroplasty
  • Orthopedic Infections and Treatments
  • Total Knee Arthroplasty Outcomes
  • AI in cancer detection
  • Lung Cancer Diagnosis and Treatment
  • Radiomics and Machine Learning in Medical Imaging

Technical University of Munich
2024-2025

Compared with histological examination of lung cancer, cytology is less invasive and provides better preservation complete morphology detail. However, traditional cytological diagnosis requires an experienced pathologist to evaluate all sections individually under a microscope, which time-consuming process low interobserver consistency. With the development deep neural networks, You Only Look Once (YOLO) object-detection model has been recognized for its impressive speed accuracy. Thus, in...

10.1371/journal.pone.0317996 article EN cc-by PLoS ONE 2025-01-31

Periprosthetic joint infection (PJI) is a severe complication after replacement surgery that demands precise diagnosis for effective treatment. We enhanced PJI diagnostic accuracy through three steps: (1) developing self-supervised model with DINO v2 to create large dataset; (2) comparing multiple intelligent models identify the best one; and (3) using optimal visual analysis refine practices. The generated 27,724 training samples achieved perfect AUC of 1, indicating flawless case...

10.1038/s41746-024-01301-7 article EN cc-by-nc-nd npj Digital Medicine 2024-10-26

<title>Abstract</title> Periprosthetic joint infection (PJI) is a severe complication following replacement surgery, often requiring complex multi-stage revisions or fusion, and imposing significant burdens on individuals society as whole. Accurate diagnosis crucial for effective treatment. This study aimed to enhance the pathological diagnostic accuracy of PJI by standardizing an intelligent process, improving its applicability practicality in clinical settings, providing guidance...

10.21203/rs.3.rs-3878559/v1 preprint EN cc-by Research Square (Research Square) 2024-02-16
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