World Heart Day: How AI is helping cardiologists improve diagnosis, treatment

by The Technical Blogs

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Artificial Intelligence (AI) has revolutionised the field of cardiology, particularly in coronary intervention.

It has brought about significant improvements in early detection, risk stratification, personalised treatment plans, real-time decision support and post-procedure monitoring.

Dr Manjinder Sandhu, Cardiologist at Max Healthcare, said that AI-based technologies are helping support coronary intervention and transforming heart health.

AI has brought about significant improvements in early detection, risk stratification, personalised treatment plans, real-time decision support and post-procedure monitoring in cardiology. (Photo: Getty)

“This makes it possible for medical professionals to take action sooner, halting the advancement of the disease and possibly averting potentially fatal complications,” said Dr Manjinder Sandhu.

Early Detection

AI’s ability to process vast amounts of data quickly and accurately allows for early detection of cardiovascular diseases. Machine learning algorithms can analyse medical images such as angiograms, CT scans, and MRIs, identifying early signs of cardiac abnormalities and arterial blockages.

AI’s ability to process vast amounts of data quickly and accurately allows for early detection of cardiovascular diseases. (Photo: Getty)

This enables healthcare professionals to intervene promptly, preventing disease progression and potentially fatal complications.
Risk stratification is another area where AI shines.

“AI may also evaluate patient data, such as medical histories, lifestyle decisions, genetic data, and more, to determine a person’s risk factors. Healthcare professionals can more efficiently manage resources by grouping patients into risk categories, ensuring that high-risk patients receive quick attention, and improving the delivery of healthcare overall,” said Dr Sandhu.

Personalised treatment plans

In terms of personalised treatment plans, AI’s ability to predict outcomes based on past patient data is invaluable.

“Using AI, cardiologists use cutting-edge machine learning algorithms to anticipate the results of various interventions based on prior patient data, helping them make choices about the best course of action for a given patient,” said Dr Sandhu.

By doing this, it is made sure that treatments like angioplasty or stent placements are carried out with a higher possibility of success and fewer chances of complications.

Real-time decision support

AI also provides real-time decision support during coronary interventions. By collating and analysing data from various sources, AI algorithms can offer real-time insights and recommendations to the medical team, enhancing the safety and effectiveness of the procedure.

Effective monitoring post-procedure

Post-procedure monitoring and predictive analytics are other areas where AI plays a crucial role. The diagnosis, treatment, and management of heart problems have been completely transformed by using AI in coronary intervention.

“A patient’s long-term recovery and potential hazards are predicted using AI’s predictive analytics skills based on a variety of characteristics. With this, medical practitioners can design individualised post-intervention care plans that will guarantee patients get the assistance and further care they need,” underscored Dr Sandhu.

Edited By:

Daphne Clarance

Published On:

Sep 12, 2023

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