Digital twin tech to transform surgical decisions, personalised healthcare: Doc
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Lucknow: Imagine the freedom to choose a line of treatment best suited for oneself or a dear one. This thought can become a reality with the use of digital twin technology in healthcare.
Using artificial intelligence (AI) algorithms, a digital twin creates virtual representative of a patient. It uses their diagnostic reports and images to provide personalised treatment modalities and predict outcomes.
The possibility of using this technology in cardiovascular and thoracic surgery (CVTS) was demonstrated on Saturday at Sanjay Gandhi Postgraduate Institute of Medical Sciences by Prof KR Balakrishnan, a cardiothoracic and heart transplant surgeon, who has worked closely with IIT-Chennai.
"A patient with a cardiac condition visits four cardiac specialists who genuinely suggest different treatment options to him.
But can anyone predict which option is most suitable for the patient," he asked the audience during the 3rd Prof PK Ghosh Memorial Oration, organised on the 38th foundation day of SGPGI's CVTS department. "Technology has made a definitive reply possible. Through digital twin technology, we can use the patient's hemodynamic parameters (measurable characteristics of blood flow and pressure within the circulatory system) to simulate a post-procedure comparison for all four options.
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Naturally, it is easy to pinpoint the least risky and most promising one," he said.
Informing that the technology allows the use of real-time data of the patient through sensors, medical devices, and electronic health records, he noted: "These digital models allow for simulation, prediction, and optimisation of health outcomes or operational processes within the healthcare environment. It is possible to use them to extend what is known as precision medical care."
"Technology can help in reducing the scope for human errors in surgery, deliver better outcomes, and save time, labour, and even money for the system and the people," he said.
On the cost-effectiveness of digital technologies in healthcare, he said, "We used a free resource to develop our models. But what needs to be done is to promote interdisciplinary research. It is high time we stopped keeping engineers and doctors in different silos and help them collaborate for larger patient and public interest."
'Digital twin can greatly benefit UP'
Prof Balakrishnan said that AI-based digital twin technologies, which could be used across a diverse palette of healthcare including cancer and maternal health, had immense possibilities in a state like UP where health challenges are bigger because of high population. "The shortage of doctors is a reality that needs a mammoth effort to be dealt with. Doctors even in tertiary care institutes are attending to 300 patients in four hours.
Can a specialist do justice to each one of them? It is here that technology like digital twin can help in weeding out extra load of doctors so that they can extend specialised care to those genuinely in need of it," he said.
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