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Aicendence
Aicendence offers Cyto-ML, an AI-driven analysis software that automates the cytological examination of lung fluid samples, significantly reducing the time and variability associated with manual processes. The software prepares slides, scans them, and evaluates findings using a cloud-based machine learning model, providing medical professionals with standardized results and treatment guidelines in a PDF format.
- Artificial Intelligence
- Data & Analytics
- Digital Health
- Healthcare Technology
- Software Only
Updated 6 months ago
Funding
Funding rounds are not available yet.
Founders
Johannes Strodel
Nikolaus Kneidinger
Moritz Koch
Carlo Mümmler
Product
Problem
Manual cytological examination of lung fluid samples is time-consuming, prone to errors, and faces a shortage of skilled professionals. This can lead to delays in diagnosis and treatment, impacting patient outcomes.
Solution
Aicendence offers Cyto-ML, an AI-driven software that automates the analysis of lung fluid samples, providing a digital platform for fast access to expert knowledge. Using computer vision and machine learning, Cyto-ML enables automated and accurate analysis of samples, improving throughput, availability, and consistency. The software prepares and scans slides, then evaluates findings using a cloud-based machine learning model. Medical professionals receive standardized results and treatment guidelines in a PDF format, facilitating quicker and more reliable diagnoses.
Target Audience
The primary target audience includes medical professionals, hospitals, and laboratories involved in pulmonary disease diagnostics and respiratory cytology.
Features
- Automated slide preparation and scanning
- Cloud-based machine learning model for image analysis
- ML-based differential cell counts
- ML-based sub-phenotyping
- Digital workflow for cytology and pathology
- Multi-stage specialized ML for precision
- Standardized results and treatment guidelines in PDF format