For quite a long time, endoscopy software that adhered to strict structural and compliance principles was considered the gold standard. Today, medical imaging leaders like Everrtech are emphasizing complete workflow digitization, which includes:

• Enhanced diagnosis and treatment
• High-definition video and still image capture
• Integrated viewing workstations
• DICOM compliance
• Efficient storage and archiving
• Modality worklist integration (HL7/DICOM with EHR/HIS)
• Secure workflow management and audit trails

Simply recording what took place during a procedure is no longer sufficient. The next generation of AI-powered endoscopy software-represented by platforms such as NeoRad Endoscopy PACS-is being designed as an active, intelligent partner inside the procedure room.

Artificial intelligence and advanced imaging are set to change the norms of endoscopy reporting in the very near future.

1. Endoscopy Reporting Software with AI

Today, endoscopy software can record high-definition videos for later review. We are now moving toward the era of Real-Time Computer-Aided Detection.

AI algorithms embedded within the PACS workflow analyze live video feeds and highlight irregularities in real time-without any delay.

NeoRad Endoscopy PACS is more than just a storage archive. It functions as a second pair of expert eyes, continuously scanning and flagging areas of concern even before the scope is withdrawn. This intelligent system significantly improves detection rates and reduces missed diagnoses.

2. Zero-Click Endoscopy Reporting Software

Today, "structured reporting" often means clicking through endless dropdown menus. The next evolution is Generative AI-powered reporting.

By combining natural language processing and voice recognition, clinicians can speak their findings naturally during the procedure, such as:

"A 2cm sessile polyp found in the ascending colon"

The AI does not simply transcribe speech-it understands context. It automatically fills structured report sections, links findings to the exact video frame or image, and generates accurate billing codes.

3. Predictive Scope Lifecycle Management

Current systems provide scope contact tracing, recording which scope was used on which patient-an essential safety feature.

Advanced AI expands this capability into Predictive Asset Management. By analyzing usage patterns, cleaning cycles, and repair history, learning models can predict when a scope will require maintenance or replacement before failures occur.

Scope management thus evolves from a reactive logbook into a proactive predictive maintenance strategy, ensuring zero downtime in busy endoscopy suites.

4. The Endoscopy Data Display

The traditional model of isolated endoscopy data storage is obsolete. The future lies in the Vendor Neutral Archive (VNA) acting as the central intelligence hub of the hospital.

Advanced endoscopy software must ingest data not only from scopes, but also from pathology, radiology, and patient history to create a holistic clinical view.

This is the core strength of NeoRad Endoscopy PACS. By acting as a centralized, vendor-neutral archive, it ensures that an endoscopy image is not just a picture-it is a connected data point within the patient's entire medical journey, accessible via web and mobile viewers.

Future-Proof Your Department

The transition from "recording data" to "generating insights" is already underway. While many solutions are still addressing the challenges of 2020-digitization and compliance- Everrtech is building the infrastructure for 2026.

With NeoRad, you aren't just buying software. You're investing in a platform ready for the AI revolution.