AI-Powered Device Successfully Treats Pulmonary Thromboembolism

The AI-powered device functions such as a vacuum, efficiently removing blood clots with minimal blood loss.

A 28-year-old man suffering from acute pulmonary thromboembolism (PE) due to a blood clot in his leg was successfully treated using an advanced AI-powered device, according to a report by The Times of India.

Pulmonary thromboembolism is a severe condition that occurs when a blood clot travels through the bloodstream and becomes lodged in the lungs, potentially leading to life-threatening complications.

PE is one of the most serious outcomes associated with blood clots, as it can obstruct blood circulation in the lungs, resulting in significant damage or even death.

The patient, who arrived at Sir Gangaram Hospital with symptoms including chest pain, difficulty breathing, and swelling in his left leg, had been suffering from these issues for three days.

After seeking treatment at other hospitals without success, he was brought to Sir Gangaram Hospital, where he was treated by Dr VS Bedi, chairman of vascular surgery.

AI-Powered Thrombosuction: A Game Changer

Dr Bedi utilized an AI-powered device specifically designed to remove blood clots with high precision.

"The AI in the machine helps it target only the clots, avoiding the suction of normal blood and reducing the risks of severe blood loss, hypotension, and other complications associated with older methods," Dr Bedi explained.

Traditional treatments for pulmonary embolism and deep vein thrombosis (DVT) often carry significant risks, including bleeding and the need for repeated procedures.

However, the AI-powered device functions such as a vacuum, efficiently removing blood clots with minimal blood loss.

This innovative approach eliminates the need for more invasive procedures, such as the insertion of an inferior vena cava (IVC) filter or the infusion of thrombolytic agents, both of which can have dangerous side effects including internal bleeding in the brain and intestines.

The successful treatment highlights the potential of AI-powered medical devices in managing complex conditions such as pulmonary thromboembolism, offering safer and more effective solutions for patients.

In a similar development, just days back, to tackle the growing burden of tuberculosis (TB) in India, Hyderabad-based startup Salcit Technologies collaborated with Google to utilize the tech giant's Health Acoustic Representations (HeAR) model for early TB detection through cough sound analysis.

Salcit Technologies aims to build on its existing product, Swaasa, using the HeAR model. Launched in 2020, Swaasa employs an AI-driven algorithm to assess lung abnormalities.