Nihat Aksakal

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About

Nihat Aksakal is at the forefront of integrating artificial intelligence into minimally invasive endocrine surgery, with a focused expertise in adrenal procedures. His pioneering work leverages deep learning algorithms to enhance intraoperative safety and precision, specifically targeting the real-time identification of critical anatomical structures. Aksakal’s most cited research demonstrates the feasibility of using AI to autonomously recognize the left adrenal vein, a crucial step in adrenalectomy, with his 2023 study garnering 12 citations. He further extended this work to right-sided procedures, achieving 7 citations for a 2024 study that maps anatomical landmarks for navigation. These contributions are foundational in the emerging field of AI-assisted surgical guidance, aiming to reduce complication rates by providing surgeons with a "second set of eyes." By translating complex computer vision models into practical, real-time surgical tools, Aksakal is helping to define the future of safer, more efficient laparoscopic adrenal surgery. His work represents a significant step toward the broader adoption of intelligent, data-driven decision support in the operating room.