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    Improving access to medical imaging services is a key healthcare priority in India. By using AI,
                      for example, it’s possible to support doctors with quicker and more accurate image analysis,
                      especially in areas with fewer healthcare resources. AI systems can help doctors spot issues like
                      fractures, tumours and other abnormalities in medical images faster than traditional methods.
                      This can speed up the diagnosis process and lead to better, more timely treatment for patients.

                      How AI Helps
                      Today, AI is capable of analysing medical images with incredible precision, often identifying details

                      that may be missed by the human eye. Here are a few examples:
                        AI technology is helping doctors identify tuberculosis (TB) at an early stage by studying chest
                         X-ray images. In India, AI-based screening systems have been introduced to examine X-rays

                         automatically and detect possible TB infections quickly. These systems have been approved
                         by the Indian Council of Medical Research (ICMR). They are now being used in several states
                         and Union Territories to screen high-risk groups and suspected TB patients, making diagnosis
                         faster and reducing delays in treatment.

                        Artificial Intelligence is becoming highly useful in detecting diseases such as tumours and cancer
                         through medical scan images. The government of Telangana has started a pilot project that
                         uses AI technology in public hospitals to support the early identification of cancer cases. By using
                         advanced imaging systems and accurate data analysis, the programme helps doctors detect
                         diseases more quickly and effectively. The initiative mainly targets oral, breast and cervical
                         cancers and is especially beneficial in areas where there are very few radiologists available.

                      Predictive Healthcare
                      Have you ever wondered if it’s possible to predict health problems before they actually happen?

                      Thanks to predictive healthcare, it’s now possible.
                      Predictive  healthcare uses data  from  various sources, such as medical  records, lab reports,

                      wearable devices, lifestyle habits and even family history, to forecast potential health issues and
                      risks. By looking at trends and patterns, healthcare providers can identify patients who are more
                      likely to develop certain conditions. This allows doctors to offer timely treatments and preventive
                      care to stop problems before they become serious.

                                                           PREDICTIVE HEALTHCARE

                                              Health Risk Prediction   AI Analytics     Early Warning System

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