AI-POWERED EYE PATHOLOGY SYSTEM BY CHETU BOOSTS DIAGNOSTIC SPEED BY 70%

Digital Intelligence Provider Advances Diagnostic Accuracy and Workflow Efficiency

Sunrise, FL (April 21, 2026) – Chetu, a global leader in AI and digital transformation solutions, developed an AI-powered eye pathology diagnostic system for a healthcare organization that improves clinical accuracy and accelerates workflows.

The client needed to upgrade its labor-intensive eyecare diagnostic process, which lacked automation, structured analysis, and personalized recommendations. Clinicians reviewed eye images manually, which studies show may not detect up to 30% of early-stage eye conditions. Chetu leveraged machine learning models to develop a computer vision workflow that provides custom recommendations, helping the staff make more informed decisions in less time.

The diagnostic system Chetu developed featured:

• AI-powered pathology detection

• Streamlined patient workflow

• Web-based Interface

• Admin and clinician tools.

“Our teams engineered this solution to integrate easily with existing healthcare imaging operations while meeting strict compliance requirements and regulatory standards,” said Anshu Raj, Director of Operations for AI at Chetu. “By creating one integrated intelligence system — combining clinician expertise with AI precision, Chetu’s solution provided faster and more reliable insights that healthcare providers required.”

The eye pathology system features automated detection across a wide range of eye issues and generates custom recommendations. Built to handle high-volume imaging data, the system supports predictive modeling with real-time data analysis.

“A secure data management layer also protects sensitive patient data and meets HIPAA compliance requirements,” Raj added. “This enables healthcare organizations to protect patient privacy and meet data security requirements.”

This solution highlights Chetu’s focus on healthcare solutions that feature scalable software development. The system seamlessly integrates with clinical and hospital environments with no disruptions to regular operations.

“AI-driven diagnostic systems are becoming essential to modern healthcare delivery,” added Deepak Borole, Project Manager, who oversees healthcare projects, at Chetu. “Healthcare tech solutions are improving accuracy, providing faster diagnoses, and increasing operational efficiency.”

Once the eye pathology system rolled out, the healthcare organization reported up to 70% faster diagnostic recommendations because of the automated analysis provided, increasing patient engagement by nearly 60%.

To learn more about Chetu, please visit www.chetu.com, or if you would like to discuss AI healthcare solutions, please click here.

Founded in 2000, Chetu is a global leader in AI and digital transformation solutions. Chetu's specialized technology and industry experts serve startups, SMBs, and Inc. 5000 companies with an unparalleled software delivery model suited to clients' needs. Chetu's one-stop-shop model spans the entire software technology spectrum, with a strong focus on Artificial Intelligence. Chetu simplifies AI adoption with its proprietary Track2AI^™ framework, guiding clients through eight strategic steps from assessment to deployment. Headquartered in Sunrise, Florida, with 11 locations across the U.S., Europe, and Asia, Chetu serves clients worldwide. For more information, visit Chetu-AI & Digital Transformation Solutions.