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❯Autonomous Robot Improves Surgical Precision Using AI
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Prediction of Multidrug-Resistant TB from CT Pulmonary Images Based on Deep Learning Techniques
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Clinicians and medical professionals predicting multidrug-resistant (MDR) patients from drug-sensitive (DS) ones based on CT lung images.
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Education - Smart Learning Content
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Empowering course creators to focus on complex decision-making and creativity with Computer Vision and Natural Language Processing.
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Autonomous Robot Improves Surgical Precision Using AI
For:
Hospitals using Autonomous robotic surgery via the STAR system
Goal:
Improve Operation Efficiency
Disaster and Emergency Prediction & Impact Model
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National-level disaster management professionals, Climate change adaptation experts, Government agencies, At-risk communities.
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Autonomous Robot Improves Surgical Precision Using AI
For:
Hospitals using Autonomous robotic surgery via the STAR system
Goal:
Improve Operation EfficiencyProblem addressed
Performing laparoscopic operations without the guidance of a surgeon’s hand.
Anastomosis—which involves connecting two tubular structures such as blood vessels or intestines—is often performed laparoscopically and is one of the most intricate and delicate tasks in surgery to automate: the reconnection of two ends of an intestine.
Despite being minimally invasive, the surgery has the potential for serious complications to the patient if any leakage occurs due to flawed suturing.
Because the patient is breathing, the two ends of the intestine tend to move. When this movement is larger than 3mm, and the autonomous robot can not adjust the suturing plan, leakage and imperfect suturing can occur.
Description
Researchers developed machine learning, computer vision, and advanced control techniques to track the target tissue movement in response to patient breathing, detect the tissue deformations between different suturing steps, and operate the robot under motion constraints.
They trained CNNs using 9,294 examples of motion profiles from anastomosis procedures, to learn tissue motion based on breathing patterns and other tissue motion during surgery.
Live Video
Image
AI: Perceive
Computer Vision
Deep Learning
AI: Understand
Automate Process
Robotics
AI: Act