AI IN CANCER TREATMENT
Why in the News?
- Researchers at Tata Memorial Hospital leverage data from 60,000 cancer patients to establish a bio-imaging bank for cancer.
- Aims to build a targeted algorithm using artificial intelligence (AI) for early-stage cancer detection.
- Utilizes AI to reduce radiation exposure for pediatric patients during computed tomography (CT) scans.
Source: Mint
Role of AI in Cancer Detection and Diagnosis
- AI mimics human brain function, analyzing radiological images for cancer-specific features.
- Comprehensive imaging generates patient data for treatment understanding and response prediction.
- Current applications: Reducing radiation exposure, enhancing diagnostic quality, and rapid, accurate diagnoses.
About Bio-imaging bank ?
The Bio-Imaging Bank serves as a storage facility comprising radiology and pathology images, correlated with clinical details, treatment outcomes, specific therapies, and supplementary metadata.
About Cancer
· Definition: Uncontrolled cell growth leading to tumour formation. · Types: Carcinomas (epithelial tissues), Sarcomas (connective tissues), Leukemias (blood-forming tissues), Lymphomas (lymphatic system). · Common Risk Factors: Genetics, age, lifestyle, exposure to carcinogens. · Detection Methods: Biopsy, imaging, blood tests. · Treatment Options: Surgery, chemotherapy, radiation therapy, immunotherapy. · Prevention: Healthy lifestyle, screenings, avoiding known carcinogens. |