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Artificial intelligence and robotic surgery: current perspective and future directions.

Mahendra Bhandari¹, Trevor Zeffiro, Madhu Reddiboina

¹Vattikuti Urology Institute, Henry Ford Hospital, Detroit Rediminds, Southfield, Michigan, USA.

Current Opinion in Urology

|November 15, 2019

Summary

Artificial intelligence (AI) is paving the way for intelligent surgical robots by leveraging big data and deep learning. Surgeon collaboration is crucial for advancing autonomous robotics in the operating room.

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Area of Science:

Robotics
Artificial Intelligence
Surgical Technology

Background:

Conventional surgical robots translate surgeon movements with tremor filtering.
Next-generation robots align surgeon actions with pre-operative 3D plans.
Advancements in AI, cloud computing, and big data fuel intelligent robot development.

Purpose of the Study:

To outline the integration of artificial intelligence in robotic surgery.
To identify challenges in implementing AI-driven surgical robots.

Main Methods:

Review of advancements in AI, big data analytics, and deep learning.
Highlighting key steps for handling and analyzing big data.
Focus on building, defining, and deploying deep learning models for autonomous robots.

Main Results:

Numerous companies are developing intelligent surgical robots.
Deep learning is a key driver for autonomous robotic capabilities.
Successful application of deep learning in various fields inspires surgical robotics.

Conclusions:

Surgeon collaboration is essential for the next generation of intelligent robotic surgery.
Despite progress, widespread adoption of autonomous robotics in operating rooms is still limited.
Active surgeon involvement can accelerate the development and integration of advanced surgical robots.