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Automate

Automate Process

Autonomous Robot Improves Surgical Precision Using AI

Large Companies
NLP - Text summarization
For:
Media Intelligence Analysts
Scope:
Using Abstractive Text Summarization to reduce analysis costs for media monitoring.
Goal:
Improve Operation Efficiency
Intelligent Document Processing Using AI
For:
Government & public entities Government departments
AI-Based Solid Waste Classification
For:
Government Municipal Corporations, Solid Waste Management Companies
Large Companies
Small Companies
Entertainment and Media - Subtitle Creation
For:
Content creators
Scope:
Creating efficiencies for content creators via automatic subtitle creation for social video.
Goal:
Improved Employee Efficiency
Large Companies
Small Companies
Improve Business Decision
For:
Credit controllers
Scope:
Using Machine Learning to automate the assessment of creditworthiness for loan applicants at a bank.
Goal:
Improve Operation Efficiency, Increase Revenues
Intelligent Social Listening
For:
Local authorities, Government agencies
Automated Quality Assurance
For:
Quality Engineers
Large Companies
NLP - Machine translation
For:
Translation Managers and Translators.
Scope:
Using Machine Translation to scale content production and create a more streamlined and efficient translation process.
Goal:
Improve Operation Efficiency, Automate a Business Process
Procurement - Cost Analysis
For:
VP Global Supply Chain Management, Category Managers
Scope:
Realizing operational efficiencies and working capital improvements through automated spend classification.
Goal:
Reduce costs, Improved Employee Efficiency
How ML Can Improve Churn Prediction to Retain More Revenue for Insurers
For:
Portfolio Managers Customer Retention
Goal:
Improved Operation
From Weeks Down to Hours: How insurers innovate with AI to shorten claims processing time and improve customer experience
For:
- Claims Management - Customer Experience.
Goal:
Improved Customer Experience
General Public
Education - Smart Learning Content
For:
Online course creators and online learners.
Scope:
Empowering course creators to focus on complex decision-making and creativity with Computer Vision and Natural Language Processing.
Goal:
Improved Employee Efficiency
Large Companies
Accounting and Finance - Improve Profitability Reports
For:
Financial analysts
Scope:
Using Natural Language Generation to automate the production of commentary on profit and loss statements at a bank.
Goal:
Improved Employee Efficiency, Improve Operation Efficiency
Large Companies
Audio Signal Processing - Voice to text Conversion
For:
Lawyers and Judges
Scope:
Using Automatic Speech Recognition (ASR) to transcribe court case proceedings.
Goal:
Automate a Business Process
Precision Farming as a Service
For:
Farmers
Scope:
Use visual recognition to identify and help fight parasites attacking organic farms.
Goal:
Anticipate Risks, Improve Operation Efficiency
Autonomous Robot Improves Surgical Precision Using AI
For:
Hospitals using Autonomous robotic surgery via the STAR system
Goal:
Improve Operation Efficiency
Large Companies
Small Companies
Accounting and Finance - Automate Invoices and Expense Management
For:
Financial Controllers
Scope:
Using Image Processing and Optical Character Recognition to create operational efficiencies through automation of expense approval and reconciliation workflows.
Goal:
Improved Employee Efficiency

Autonomous Robot Improves Surgical Precision Using AI

For:
Hospitals using Autonomous robotic surgery via the STAR system
Goal:
Improve Operation Efficiency
Problem 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.
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Live Video
Image
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Computer Vision
Deep Learning
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Automate Process
Robotics
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