Application of robotics in modern surgery and critical operations: Current status, challenges, and future directions

Abstract

The field of modern surgery has undergone significant transformation with the integration of robotics, which offers unprecedented precision, reduced invasiveness, and improved surgical outcomes. Robotic-assisted surgery has gained popularity across various specialties, including neurosurgery, orthopedics, urology, and cardiac surgery, with systems such as the da Vinci Surgical System serving as a key example. These robotic platforms enhance surgical performance by providing greater control, three-dimensional visualization, and improved dexterity, which collectively reduce operating fatigue, minimize human error, and shorten patient recovery times. Despite these advancements, challenges remain, including high operational costs, the need for specialized training, and the limitations of robotic systems in handling complex or unforeseen situations. This review explores the current state of robotic applications in surgery, addressing both their potential and their limitations. It also discusses future developments, particularly the role of enhanced sensory feedback, machine learning, and artificial intelligence in advancing robotic surgery. While robotic technologies hold the promise of improving patient outcomes, reducing complications, and increasing accessibility, ethical, financial, and technological challenges still need to be addressed. As robotic technologies continue to evolve, they have the potential to reshape the landscape of essential procedures and surgeries.

Keywords

Machine learning / Medical science / Artificial intelligence / Robotic surgery

Funding

None.

Conflict of interest

The authors declare that they have no competing interests.

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