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Spleneto

Name: Spleneto
Author: Spleneto

AI-powered Diagnosis & Healthcare Analytics

A extensive AI-driven platform designed to improve the quality, consistency, and standardization of medical imaging metadata across diverse healthcare organizations, including hospitals, research institutions, and imaging networks. It automatically analyzes, validates, and enriches imaging data using advanced machine learning algorithms, medical ontologies, and human validation, resolving issues such as missing or conflicting metadata, duplicate studies, and archive inconsistencies to optimize clinical workflows, facilitate cloud migrations, and ensure interoperability. This solution addresses the needs of healthcare providers, medical AI developers, and healthcare IT professionals seeking to improve data accuracy, streamline imaging data management, and support reliable artificial intelligence applications in clinical settings.

Spleneto can be found in AI-powered Diagnosis & Healthcare Analytics categories.

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Consumer Type: B2B

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Spleneto Main Features

Validation
Detects problems in imaging data, such as missing information, conflicts, duplicates, or archive issues, before they cause problems.
PACS Migration
Helps move imaging data to new systems faster and with better quality.
Standardization
Normalizes imaging data to follow international standards like SNOMED CT, DICOM, HL7, FHIR, RadLex, and ICDA.
AI Infrastructure
Provides a system for healthcare imaging data that helps improve data quality and trustworthiness.
Metadata Analysis
Automatically understands and analyzes imaging information from different sources, languages, and systems.
Enterprise Imaging
Maintains consistent and quality imaging data across multiple hospitals and clinics.
Cloud Transformation
Updates imaging archives to modern, cloud-based healthcare systems.
Human-in-the-Loop Review
Only a small part of the data is reviewed by clinical experts, while the rest is automatically checked.

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