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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.
Deeper Dive into AI Applications 41

