Mumbai’s Tata Memorial Hospital (TMH) is using artificial intelligence (AI) to address shortage of cancer specialists.
- By established a ‘Bio-Imaging Bank’ for cancer, the hospital is utilising deep learning to craft a cancer-specific tailored algorithm that aids in early-stage cancer detection.
- It incorporated data from 60,000 patients into the biobank in the last year.
- The Bio-Imaging Bank project’s goal is to create a robust repository encompassing radiology and pathology images, intricately linked with clinical information, outcome data, treatment specifics, and additional metadata.
- This resource is designed for the training, validation, and rigorous testing of AI algorithms.
- The creation of a tumour image bank involves segmenting and annotating images, outlining tumours, identifying different features, and annotating them as malignant, inflammatory, or edematous.
- This approach allows hospital to develop algorithms for different tumours, assess treatment responses directly from images, and avoid unnecessary chemotherapy for predicted non-responders, offering clinical utility.
