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What is See-Mode?

See-Mode Technologies is a MedTech company dedicated to leveraging artificial intelligence to improve ultrasound reporting, thereby enhancing both the precision of diagnoses and the efficiency of operations. Their groundbreaking platform quickly analyzes ultrasound images related to the thyroid and breast, leading to swift and accurate radiology reports. By effectively identifying, measuring, and characterizing nodules, See-Mode generates a detailed TI-RADS sonographer worksheet along with preliminary assessments for radiologists. In the sphere of breast imaging, the application not only identifies lesions but also automates the BI-RADS reporting procedure, providing in-depth information regarding lesion characteristics and levels of suspicion. This sophisticated technology reduces variability between operators and diminishes the chances of reporting mistakes, which in turn boosts diagnostic confidence and ensures uniformity in results. By optimizing the reporting workflow, See-Mode empowers clinicians to make better-informed decisions, ultimately contributing to improved patient outcomes. This comprehensive approach marks a significant advancement in the field of medical imaging technology.

What is DAVinCI LABS?

In the process of selecting a target for prediction, a sophisticated algorithm discerns patterns within the dataset to construct a forecasting model. By identifying a variable that acts as a basis for decision-making, it systematically organizes clusters that display significant trends and defines the characteristics of each cluster through established rules. Furthermore, if the features of the data change over time, it can project future target values by analyzing trends associated with the time variable. Even when the characteristics of the data are not explicitly stated, the algorithm skillfully categorizes clusters with distinct behaviors, which can aid in identifying outliers in new datasets or offer novel insights. In our company's method for identifying marketing targets, we consider variables such as gender, age, and mortgage status; however, it may be advantageous to investigate additional factors that could improve our predictive performance. By incorporating elements like income level, education, and geographic location, we could further enhance our targeting strategy and ensure that our marketing efforts are more effectively aligned with potential customers' needs. This comprehensive approach to data analysis could ultimately lead to better decision-making and increased success in our campaigns.

Media

Media

Integrations Supported

Integrations Supported

Motion Array

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS
Windows
Mac

Customer Service / Support

24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Online Training

Training Options

Documentation Hub

Company Facts

Organization Name

See-Mode

Date Founded

2017

Company Location

Australia

Company Website

www.see-mode.com

Company Facts

Organization Name

AILYS

Company Location

South Korea

Company Website

davincilabs.ai

Categories and Features

Healthcare AI

Not specified

Ultrasound

Not specified

Categories and Features

Artificial Intelligence

Machine Learning
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)

Business Intelligence

Data Analysis
Predictive Analytics
Visual Analytics

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