1. Punjab launched India’s first large-scale AI screening program for cancer and eye disease.
2. The initiative aims to perform 900 screenings daily across rural districts, with physicians verifying all AI results.
On September 18, 2025, the government of Punjab launched an AI-enabled screening initiative for breast cancer, cervical cancer, and vision impairment across eight districts. The program is barely a week old and marks India’s first large-scale, state-level adoption of AI in population screening. Cancer incidence in Punjab reached 42,288 new cases in 2024, a 7 percent rise from the prior year, while only 0.3 percent of women nationally have ever been screened for breast cancer. The initiative deploys devices such as Thermalytix for breast imaging, Smart Scope for cervical cancer, and Forus Health autorefractometers for vision checks. The government has set ambitious goals, aiming for 600 eye exams and 300 cancer screenings daily across rural sites. The program ensures that AI highlights concerning cases, but physicians are required to confirm findings before further action. This safeguard preserves medical accountability while expanding screening reach. The rollout reflects a deliberate push to improve equity, since rural and underserved populations face the greatest delays in diagnosis. Because the program began only days ago, it is being closely observed as a real-time test case for scalability. International health experts are framing this as one of the most recent and ambitious applications of AI in public health. The initiative could cut late-stage cancer diagnoses, which are a major driver of poor outcomes in India. By pairing AI triage with clinician oversight, the program aims to combine efficiency with safety. Early field reports suggest strong community interest and rapid adoption in district hospitals. If results are positive, the Punjab model may be expanded to other states and adapted for diseases beyond oncology and vision. This rollout, launched just last week, underscores how AI is already reshaping frontline care in entire populations. The fact that it is happening now adds urgency to global conversations about AI’s role in reducing health disparities.
Image: PD
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