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Heart disease continues to be the most vicious health challenge in India, which increases its increasing prevalence, causing sickness, premature deaths and high health care expenses. Compared to the West, heart disease affects Indians at least a decade ago and the most productives affect them during the midlife period. The challenge we face today is to successfully address it and unlock a healthy, more productive nation.
Technology has provided us transformational equipment. Artificial intelligence (AI) can see risk signals that recall human eye. Genomics can identify who is predetermined for the disease and which will give the best answer to a given therapy. Together, AI and genomics can change the arch of cardiac care in early prediction and prevention even before the first signs of the disease in the body. This is actually the need of India’s health care economy. Evidence from our own network shows that this change is not theoretical; It is already improving the results.
Silent disease is common in India. In our latest health of the nation’s findings, many touching Indians carry the early atherosclerotic plaque. One of them was examined, one in five men and one of the five women had coronary calcium deposits without symptoms; In men, there was an already inhibitory disease already in one in ten-signs without warnings. With a lot of people at risk even before the first symptoms, future-staging tools can be game-changing.
AI is already giving an average influence inside hospitals. In Apollo, our connected care platform provides the real -time, rapid response monitoring of patients in the ward and trigger rapid response teams on the first signal of deteriorating. In the centers where it moves on scale, the unexpected code blue emergency has declined by 80%. It is its best active drug – low accidents, earlier growth, safe care. This is also good economics because every average complexity saves life and cost.
Scale and Reach Matter, and India’s digital rail can take these innovations beyond big cities. Our clinical intelligence engine, co-developed on Google Cloud Infrastructure, protects patient data using large language models to direct “next best tasks” during counseling. The same backbone power uplo 24 | The growing platform of 7, which serves millions of registered users today, indicates that digital, A-able care can function on national scale. In cardiac care, we have already deployed AI-powered prediction and prevention programs, AI-CVD, in our network, indicating how AI can embed in day to day cardiology.
On the frontlines, Dr. Brajesh Kunwar, Senior Advisor International Cardiologist, Apollo Hospitals, Navi Mumbai explain how AI is changing the diagnosis. In radiology, AI gave the initial stroke on CT, micro-calculus on mammograms and even polyps during colonoscopy that can miss the human eye. Doctors are supported by a clinical intelligence engine, which suggests potential diagnosis, testing and next stages. And we are looking at AI models that read a regular ECG or even a chest X-ray and predict future cardiac risk. Global studies suggest that the AI-ECG models may detect structural heart disease and abnormal filling pressures, and anticipate the 10-year-old cardiovascular phenomenon risk for deeper from the chest X-rays. Genomics adds a second, powerful layer. Polygenic risk score (PRS) for coronary artery disease, combined with clinical risk, can identify young people at high lifetime risk that can be remembered otherwise by traditional calculator. This can help identify high risk individuals for heart disease, followed by risk factor evaluation and targeted prevention.
Dr. Sanjeevakumar Kalkekar, Senior Advisor Interventional Cardiology, Structural Heart Disease, Rhythm Disorder Specialist and Valve Expert, Apollo Hospitals, Navi Mumbai have highlighted speedbumps that still highlight the speedbump to be navigated with a barrier. Advanced genomic panels and AI monitoring are not yet affordable for every family. Exercise is a second challenge with 60% of hospitals and 80% of doctors are in urban centers, underlineing many rural districts. Finally there is training for thousands of physicians who require hand contact for AI tools and continuous updates. However, all these are solved problems if we act with intentions.
The policy and industry should move together. AI-competent screening should be integrated into public health, whether it is chest-X-ray opportunistic risk scoring in district hospitals or AI-ECG triaries in primary care, to catch high-risk people quickly. Pricing routes should be protected by rewarding innovation. We should also invest in people. India requires medical courses and embedded in CME, residents, nurses and paramedics for clinical AI and genomics. In our own network we are standardized AI assurance, co-pilots are integrated into EMRs, and participation with technology leaders to strengthen heart-risk equipment that can be strengthened which track results such as mortality, ICU readmaration and living length.
If we can align the encouragement around the first detection, clever triaies and personal prevention, the payment will be beneficial at the national level. Low entry for heart failure, lesser frightening events in the most productive years of life, and a strong, more flexible workforce. This is the essence of a healthy health care economy-included in the prediction of risk and prevention to save life as well as more and more cost in the long run. The convergence of AI and genomics gives India a chance to lead in cardiac innovation not only for our own people, but also for the world. Now work is to be executed with speed, equity and trust.
This article was Dr. Dr. Dr. of Apollo Hospitals Group and Chairman. Pratap is written by C. Reddy.
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