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About

Aashish Goela is a researcher whose work sits at the intersection of cardiothoracic surgery and robotic-assisted technology, focusing on improving patient selection and procedural outcomes in minimally invasive cardiac care. His major contributions include developing an anatomy-based eligibility measure for robotic-assisted coronary artery bypass grafting, a critical tool that helps clinicians determine which patients are suitable for the da Vinci Surgical System. This work, cited over 20 times, addresses a key gap in preoperative planning by moving beyond subjective assessment. Goela also advanced the field of hybrid cardiac procedures, co-authoring a case report on simultaneous robotic-assisted mitral valve repair and percutaneous coronary intervention. This study demonstrated the feasibility of combining two complex interventions in a single setting, reducing the need for multiple surgeries. His research has been cited in journals focused on robotic surgery and interventional cardiology, reflecting its practical impact on clinical decision-making. By refining eligibility criteria and exploring hybrid approaches, Goela has contributed to safer, more personalized surgical strategies for patients with complex cardiac conditions.