Tech

Google’s new AI System More Effective than Humans to Detect Lung Cancer

Published

7 years ago

May 29, 2019

WASHINGTON – Scientists at Google have claimed that an Artificial Intelligence model developed by them is more effective than human experts in detecting the lung cancer. The AI-based system uses Deep Learning to detect malignant lung nodules on LDCT (low-dose chest computed tomography) scans. This would help to ensure the early diagnosis of lung cancer and hence, it will be possible to treat the disease in its earlier stage. An automated image evaluation system would help to enhance the accuracy in the early diagnosis of the deadly disease. While comparing the results with that of radiologists, it was found that the deep-learning based system works better than those radiologists.

Deep-learning technique uses 3D images. But radiologists carry out the diagnosis of lungs by detecting thousands of 2D images. Hence, it makes the whole process easier to detect any tumor with the help of 3D images.

A research assistant professor at Northwestern University in the United States, Mozziyar Etemadi, shared, “AI in 3D can be much more sensitive in its ability to detect early lung cancer than the human eye looking at 2D images. This is technically ‘4D’ because it is not only looking at one CT scan, but two over time. In order to build the AI to view the CTs in this way, you require an enormous computer system of Google-scale. The concept is novel but the actual engineering of it is also novel because of the scale.”

The research highlights the importance of AI-based technology, as it would make the entire screening process a lot easier if executed well. Hence, by early detection of lung cancer, it will be possible to reduce the mortality rate as lung cancer contributes to the highest number of deaths.

In the Deep-learning technology, both primary CT scan as well as prior CT scan results are taken into consideration. This makes it feasible to predict lung-cancer malignancy risk and hence detect the lung cancer in its earlier stage. The new AI-based system has been tested for over 6,000 de-identified CT scan sets in order to study its accuracy. And, it was found that this system helps to spot minuscule malignant nodules easily.

Tech

Evo Tech Reveals New Features for Evolution AI to Improve Threat Detection

Published

2 weeks ago

April 1, 2026

Jonathan Grilli

Photo Courtesy of: Evo Tech

Byline: Mae Cornes

MADISON, Wis— Evo Tech announced new updates to its flagship platform, Evolution AI, designed to enhance threat detection and real-time data analysis for intelligence, security, and law enforcement agencies. The upgraded system introduces expanded capabilities in pattern recognition, automated alerts, and data aggregation to improve response accuracy in critical operations.

The company’s latest release focuses on enabling faster identification of potential threats across multiple data streams, including text, imagery, and audio inputs. By combining adaptive machine learning models with advanced verification tools, Evolution AI now provides a more precise and scalable method for detecting irregular or suspicious activity.

“Security challenges are growing more complex as data sources multiply,” said Maria Pulera, Evo Tech’s representative. “Our goal with these new features is to help agencies detect threats earlier and reduce the time between data discovery and action. These tools are built to support real-world decision-making in fast-moving environments.”

Among the new enhancements are:

Automated Threat Classification: The platform can now categorize potential risks based on severity and relevance, allowing analysts to prioritize investigations more effectively.
Cross-Platform Data Fusion: Evolution AI aggregates data from both structured and unstructured sources, presenting analysts with unified, real-time insights across visual, audio, and textual inputs.
Adaptive Anomaly Detection: Using machine learning, the platform learns from historical data to recognize unusual activity patterns and flag potential security concerns automatically.
Enhanced Visualization Tools: New dashboard designs allow users to view correlations, track trends, and monitor data sources simultaneously with improved clarity.

Evo Tech’s development team designed these upgrades to help intelligence and defense organizations address increasing information volume and data fragmentation. According to industry reports, global data generation is expected to exceed 175 zettabytes annually by 2026, underscoring the need for advanced analytical tools that can handle large-scale, multi-format data securely.

Pulera added, “Our technology aims to reduce the manual burden on analysts while maintaining the highest standards of data integrity. We’ve focused on features that allow agencies to operate more efficiently without compromising security.”

The company’s engineering team also confirmed that Evolution AI’s infrastructure supports deployment in secure, private networks, aligning with the data protection requirements of defense and intelligence clients. Evo Tech plans to continue rolling out additional modules throughout 2025, with a focus on multilingual data analysis and predictive threat modeling.

Evo Tech’s latest updates come as governments and private institutions invest heavily in AI-driven security technologies. Market forecasts from MarketsandMarkets estimate that AI in defense and security applications will surpass $13 billion by 2028, reflecting a growing global emphasis on automation and early threat detection.

About Evo Tech
Evo Tech is an artificial intelligence company specializing in data analysis and intelligence automation for security and defense operations. Its flagship platform, Evolution AI, integrates machine learning, big data processing, and adaptive analytics to enhance decision-making in high-volume, high-security environments. The company’s mission is to deliver reliable, real-time solutions that strengthen operational efficiency and intelligence accuracy across the public and private sectors.

Contact Information:

Maria Pulera, Representative

EVO Tech

https://evoai.tech/

[email protected]