AI in Cancer Screening
Why in News?
AI in cancer screening is recently a major focus of medical research and public health policy, particularly due to its ability to detect malignancies earlier and more accurately than traditional methods.
Early Detection & Accuracy
- AI can identify microscopic patterns in X-rays, MRIs, and CT scans that are often invisible to the human eye.
- Studies show AI can detect lung nodules on chest X-rays with a sensitivity of up to 80%, significantly higher than unassisted radiologists.
- Instead of age-based screening, AI models analyze full medical history, lifestyle, and genetics to provide personalized "5-year risk scores".
- AI-driven "digital twins" simulate disease progression to predict how a specific patient might respond to treatment.
- In India, portable AI devices (like IIT Kharagpur's breath analyzer) are being deployed in rural screening camps to bridge the shortage of specialists.
- Low-cost AI tools for cervical cancer use mobile phone cameras to interpret Pap smears with expert-level accuracy.
- AI reduces "false positives" (false alarms) in lung cancer screening by better distinguishing between benign nodules and actual malignancies, sparing patients from unnecessary invasive biopsies.
- Continuous Screening: Integration with wearable devices to monitor real-time health data for subtle shifts in cancer risk.
- Multi-Modal Fusion: Combining imaging, genomics, and electronic health records into a single diagnostic engine for higher reliability.
