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    Here are some key ways AI is currently being used in healthcare:

     AGRICULTURE & SOIL HEALTH    Medical  Image  Analysis: AI can analyse  medical  images  like  X-rays,  MRIs  and CT scans
                        quickly and accurately. This helps doctors detect problems such as tumours, fractures or other
                        health conditions much faster than traditional methods.

                       Predictive Healthcare: AI systems can predict the likelihood of a patient developing certain
                        conditions  based  on their health history  and other factors. For  example,  AI can analyse

                        patterns to predict if someone is at risk for diseases like diabetes or heart conditions, allowing
     Soil Height Analysis  AI Insights  Crop Disease Identification  for early intervention and treatment.
                       Remote Patient  Monitoring: With the help of  AI,  wearable devices like fitness trackers or
     How AI Helps       smartwatches  can  monitor  a  patient's  vital  signs such  as  heart  rate,  blood  pressure  and

     AI can help farmers better understand and improve soil health:  oxygen levels in real time. This information is sent directly to healthcare providers, helping

       AI systems can analyse soil data collected from sensors to offer recommendations on how to use   them track the patient's health without the need for frequent visits to the clinic.
     fertilisers, manage irrigation and plan crop rotation. As part of the 2026 Union Budget, the Indian   AI is making healthcare more efficient, accessible and personalised, ensuring that more people
     government introduced an AI-powered platform called Bharat Vistaar. This platform provides   can receive timely and effective care.
     farmers with localised information, including soil conditions, weather forecasts, pest detection
     and expert advice, all available in their native languages. The aim is to offer personalised crop   Medical Image Analysis
     and soil recommendations, covering areas like fertiliser use and irrigation needs.  Have you ever wondered how a doctor figures out if a bone is
       AI-powered mobile applications allow farmers to take photos of crop issues and receive   broken after someone falls and gets hurt? They use medical   fact bits
     immediate  guidance.  The Indian Ministry  of Agriculture  and Farmers launched  the  app,   images, like X-rays, to check. X-rays, along with other imaging   According to the Indian

     namely,  Collection  of Real-Time  Observations  and  Photos  of Crops  (CROPIC). This app   techniques like CT scans, MRIs and ultrasounds, help doctors   Radiological and Imaging
     enables farmers to upload photos of their crops at different growth stages. The AI system   diagnose various health problems by looking at the inside of   Association (IRIA), there is
     then assesses the health of the crops, identifies any signs of stress or damage and provides     the body without needing surgery.  only one radiologist for every
     real-time monitoring and suggestions for improvement.                                25,000 people, while the ideal
                     Many rural areas in India face a lack of radiologists. Because       ratio should be one radiologist
     If 'Blue' is 4, 'Green' is 5 and 'Yellow' is 6, what number is 'Orange'?  of this shortage, patients may have to wait a long time or   for every 10,000 people.

        a)  5      b)  6  travel to other cities for their reports, causing delays in
                     medical care and treatment. This lack of access to medical
        c)  7      d)  8  imaging facilities makes it harder to detect serious health
                     issues, such as tuberculosis (TB), cancers and heart disease, at an early stage when treatment
                     is more effective.
     AI-ASSISTED HEALTHCARE

     AI is transforming healthcare around the world,  making  it  faster, more accurate  and more   MEDICAL IMAGE ANALYSIS
     affordable. In India, where the healthcare system must support over 1.3 billion people, there is
                                                                                                 TUMOR
     a significant gap between the demand for healthcare services and the available resources. AI   TB Lesion  Identification
                                                                               mode/
     is playing a crucial role in bridging this gap by helping with early disease detection, analysing   confidence
     medical images and supporting healthcare professionals in decision-making.

     AI also enables virtual healthcare and remote patient monitoring, which means patients can consult
     doctors through telemedicine platforms and use wearable devices that monitor vital signs in real   Disease Detection    All Diagnostics  Tumor/Cancer
                                               (e.g., TB)                              Identification
     time. This allows doctors to track patients' health from a distance and make timely decisions.

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