AI-Powered Clinical System Enhances Endocrine Cancer Detection

AI-Powered Clinical System Enhances Endocrine Cancer Detection

The new AI application aims to democratize expert-level cancer diagnostics, making them available on basic internet-connected devices, including smartphones.

A new artificial intelligence (AI) tool, capable of diagnosing endocrine cancers with speed and accuracy, has been presented by Jansi Rani Sethuraj, BSN, CCRN, from the University of Texas Health Science Center at Houston,

The AI-powered tool leverages advanced deep learning architectures, such as EfficientNet and ResNet, to analyze diverse medical data, including computerized tomography (CT) scans, magnetic resonance imaging (MRI), ultrasonography (USG), and histopathology images, enabling comprehensive and accurate cancer detection.

The new AI application aims to democratize expert-level cancer diagnostics, making them available on basic internet-connected devices, including smartphones.

According to Sethuraj, the AI models demonstrated exceptional diagnostic accuracy, reportedly exceeding 99% in certain validation datasets across multiple endocrine cancer types.

Two researchers, Ramya Elangovan and Kavin Elangovan of AIM Doctor in Houston, Texas, curated anonymized endocrine cancer image datasets representing diverse populations spanning six continents.

The images were used to train and validate deep learning models capable of detecting and staging multiple endocrine cancers with very high accuracy.

The application, independently evaluated by healthcare professionals from international institutions, features a streamlined design that enables rapid image analysis, processing each image in under one second, even on low-resource devices, highlighting its global usability and reliability.

This technology has the potential to reduce diagnostic errors, accelerate treatment decisions, and improve patient outcomes globally, especially in resource-limited settings, by enabling clinicians and primary care providers to access expert-level diagnostic support anywhere.

Elangovan Krishnan, M.B., B.S., P.G.D.H.M., M.Tech., M.S., Ph.D., of AIM Doctor, said, “By democratizing access to advanced diagnostics, this AI innovation marks a paradigm shift in cancer care, offering hope for earlier detection, more precise treatment, and better survival for patients facing endocrine malignancies.”

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