Summary: A pioneering medical procedure utilizing Artificial Intelligence (AI) technology has successfully removed blood clots in a 62-year-old patient at Medanta Hospital in Haryana’s Gurugram. This breakthrough procedure, carried out using the Penumbra Flash 12 F Catheter, has minimized blood loss, reduced complications, and significantly expedited patient recovery.
Narendra Singh, a pilot, was admitted to Medanta Hospital’s emergency room with symptoms of shortness of breath, sudden leg pain, and swelling. Dr Tarun Grover utilized the AI-driven Penumbra Flash 12 F Catheter to remove the blood clots, offering immediate relief from pain and swelling. Unlike traditional surgical methods, this procedure is performed under local anesthesia, allowing the patient to be awake during the procedure.
Dr Rajiv Parakh, an Endovascular specialist, highlighted the benefits of this AI-driven procedure, stating, “Penumbra Lightning minimizes risks associated with excessive blood loss and results in quicker rehabilitation, reduced complications, and improved overall recovery time.”
The introduction of this technology marks a significant advancement in treating pulmonary embolism, a condition that blocks blood flow to the lungs and can be life-threatening. Dr Naresh Trehan, cardiologist and Chairman of Medanta Hospital, praised the innovative procedure, saying, “This remarkable advancement aids individuals afflicted with pulmonary embolism, enabling faster recovery and improved outcomes.”
Furthermore, Medanta Hospital has launched a Pulmonary Embolism Interventions and Response Team (PERT) program to raise awareness about this potentially fatal condition, even among young individuals.
The successful integration of AI technology in treating blood clots offers a more efficient and less invasive alternative to traditional surgical methods. By minimizing blood loss and reducing complications, this AI-driven procedure provides a promising solution for patients with pulmonary embolism, improving their chances of a rapid and successful recovery.
The source of the article is from the blog anexartiti.gr