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Transforming Intraoperative Breast Cancer Diagnosis through D-FFOCT and AI Integration
Alireza Negahi1, Hossein Negahban1, Mehdi Khosravi-Mashizi1
1Breast Health & Cancer Research Center, Iran University of Medical Sciences, Tehran, Iran.
Integrating dynamic full-field optical coherence tomography (D-FFOCT) with artificial intelligence (AI) enhances intraoperative breast cancer diagnosis. This AI-powered D-FFOCT approach offers faster, more accurate margin evaluation, improving surgical decisions and patient outcomes.
Area of Science:
- Medical Imaging
- Artificial Intelligence in Medicine
- Oncology
Background:
- Traditional intraoperative breast cancer diagnosis methods like frozen pathology have speed and accuracy limitations.
- Dynamic Full-Field Optical Coherence Tomography (D-FFOCT) provides non-destructive, high-resolution, real-time imaging of tissue microstructures.
- Integrating advanced imaging with AI offers potential to overcome diagnostic challenges.
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