aisencia
by aisencia GmbH
· Based in Germany →
— Uses its AI system to detect and classify around 40 different skin disorders, supporting doctors in pathology by reducing their daily workload and speeding up diagnoses.
Overview
aisencia GmbH leverages artificial intelligence to significantly enhance the diagnostic capabilities of pathologists. Their AI system is specifically designed to detect and classify approximately 40 different skin disorders, providing a powerful tool to support medical professionals in their daily work.
The primary benefit of aisencia’s technology lies in its ability to reduce the workload on pathologists and accelerate the diagnostic process. In an era marked by a shortage of medical doctors and increasing patient waiting times, this AI assistant offers a valuable solution by saving crucial time and improving efficiency in pathology labs.
By automating the detection and classification of various dermatological conditions, aisencia aims to improve diagnostic accuracy and consistency, ultimately leading to better patient outcomes. This tool is particularly relevant for pathology practices and departments dealing with a high volume of skin biopsies and seeking to optimize their workflow with advanced AI support.
Reviewed by Pouyan Golshani, MD — Interventional Radiologist
Key Features
- AI-powered skin disorder detection
- Classification of ~40 skin disorders
- Supports pathologists
- Reduces diagnostic workload
- Accelerates diagnosis
Use Cases
- Assisting pathologists in diagnosing skin conditions
- Improving efficiency in pathology labs
- Reducing diagnostic turnaround times
- Supporting medical professionals in dermatopathology
What Physicians Need to Know
Evidence Base
Aisencia's AI solution, Cutaneos80*, is capable of classifying over 50 types of skin lesions and 80% of daily cases in dermatopathology. The AI models are developed in close cooperation with world-leading skin pathologists. The system is designed to streamline workflow and meet the demand for fast, precise, and accessible diagnoses.
Clinical Validation Studies
Aisencia's AI model detects and classifies over 50 types of skin lesions. The results of their AI-Path project, which focuses on the interaction between humans and AI, will be tested in pilot laboratories and compared with current analog workflows. The powerful DermPath AI can integrate into other platforms, and their Image Management System (IMS) is available internationally.
Alert Fatigue Management
As part of the AI-Path project, aisencia is testing methods and mechanisms to prevent fatigue in pathologists. AI-driven workflows can help reduce alert fatigue by filtering out unnecessary noise and focusing attention where it's most needed. Designing clinical AI alerts to be specific, with thresholds tuned to the population and clinically insignificant cases filtered out, can help reduce alert fatigue.
Drug Interaction Checking
Aisencia's current information does not highlight drug interaction checking as a feature. However, AI in general can help identify harmful drug interactions by analyzing large datasets quickly, improving predictions, and lowering adverse events. AI-powered drug interaction checkers can process large datasets in real-time with high accuracy.
Differential Diagnosis Support
Aisencia's AI solution, Cutaneos80*, is capable of classifying over 50 types of skin lesions and 80% of daily cases in dermatopathology, which provides strong support for differential diagnosis. Their DermPath Assist is an AI Chatbot trained specifically for dermatopathology, functioning as a co-pathologist and offering diagnostic suggestions based on case features. AI algorithms can aid clinicians by providing differential diagnoses, highlighting potential diagnoses not yet considered, and helping to triage cases.
Guideline Update Frequency
The provided information does not specify the guideline update frequency for aisencia. However, AI-powered clinical decision support systems can learn from datasets rather than human-written guidelines and continuously improve their recommendations based on outcomes data.
Clinical Workflow Integration
Aisencia's Vistaneos solution is designed as a fully integrated solution for dermatopathology laboratories, combining a LIS, an Image Management System (IMS), and an AI solution, bypassing traditional integration hurdles for a seamless, intuitive, end-to-end digital workflow. The powerful DermPath AI can integrate into other platforms. Aisencia has partnered with PathPresenter to deliver cutting-edge technology that enhances the speed, precision, and efficiency of dermatopathology daily workflows. Their solutions offer features like browser-based operation and seamless integration with cassette and glass slide printing. They also offer LIS integration with CoPath, NovoPath, and Epic Beaker.
Physician Tip
Leverage Aisencia's AI (Cutaneos80*) for rapid classification of over 50 skin lesion types, covering a significant portion of daily cases, to aid in differential diagnosis and case prioritization. Utilize the DermPath Assist chatbot as a 'co-pathologist' for diagnostic suggestions. Embrace the integrated Vistaneos solution for a streamlined digital workflow in dermatopathology, reducing manual steps and enhancing efficiency. Be aware that while the AI significantly aids in diagnosis, human oversight remains crucial for complex cases and final decision-making. The system's focus on fatigue management and explainable AI aims to support, not replace, the pathologist's expertise.
Aisencia's Vistaneos offers a fully integrated LIS, IMS, and AI solution, specifically designed for dermatopathology labs in Germany, with the DermPath AI capable of integrating into other platforms. They have a strategic partnership with PathPresenter, enabling their AI models to be accessible through PathPresenter's digital pathology platform. The system also boasts LIS integration with CoPath, NovoPath, and Epic Beaker, facilitating seamless workflow experiences.
Details
| Category | Clinical Decision Support & Reference, Dermatology AI, Pathology AI |
| Pricing | Unknown — unknown |
| Compliance | |
| BAA Available | Unknown AI-estimated |
| HIPAA Compliant | Unknown AI-estimated |
| FDA Status | Unknown AI-estimated — unknown |
| Integrations | |
| EHR | Not specified |
| Specialties | Dermatology, Pathology |
Social Proof
| Customers | unknown |
| Notable | unknown |
Ratings & Reviews
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Press & Coverage
aisencia.de
aisenciau00ae secures u20ac150 000 BRE-Up funding for u201cDERM-BOOSTu201d
aisenciau00ae GmbH has been awarded u20ac150,000 in EU funding through the BRE-Up program to further develop its digital, AI-powered software solutions Vistaneos and Cutaneos 80 for dermatopathology. The project, 'DERM-BOOST,' aims to validate customer benefits and implement interface functionalities for interoperability with other lab software and hardware.
2025-05
aisencia.de
AI for More Precise Treatment of Head and Neck Tumors: BESTFIT Project Presented
The joint project BESTFIT, aiming to significantly improve therapy planning and treatment of head and neck tumors using AI, was presented at the kick-off meeting u201cAI-supported Precision Surgery in Oncologyu201d (KIOn) in Berlin. aisencia is involved in this collaborative project.
2026-05
aisencia.de
aisenciau00ae and HpH Establish New Development Partnership
On January 14, 2026, aisencia and HpH Institute of Pathology and Hematopathology Hamburg entered into a comprehensive development partnership. This collaboration aims to advance their work in digital pathology.
2026-02
aisencia.de
Successful Implementation of our LIS at Dermatologikum Hamburg
aisencia's team successfully implemented Vistaneos, their innovative Laboratory Information System (LIS), at Dermatologikum Hamburg, one of Germany's leading dermatopathology institutes. This marks a significant step in digitizing dermatopathology workflows.
2025-10
aisencia.de
The digital pathology workplace of the future
As part of the AI-Path project, aisencia GmbH and the Digital Media Lab at the University of Bremen are collaborating to redefine how pathologists work in the digital age. This initiative focuses on creating the digital pathology workplace of the future.
2025-09
public-health.ai
AI instead of a microscope? How aisencia aims to revolutionize skin diagnostics
This podcast discusses how aisencia, co-founded by Max Schmidt, is using AI to transform skin diagnostics, addressing the shift from traditional microscopy to digital analysis and the role of AI in speeding up routine tasks while maintaining human oversight. The company's strategic decision to develop a laboratory information system before more complex AI products is highlighted for simplifying regulatory processes and enabling international market entry.
2025-08
PMC - NIH
Deep Learning Image Processing Models in Dermatopathology
This peer-reviewed article discusses deep learning models in dermatopathology, highlighting Aisencia's Cutaneous80, an AI-powered tool for detecting and classifying over 40 skin conditions. It emphasizes Aisencia's focus on real-world workflow integration and their specialized melanoma metastasis detection tool.
2025-10
uni-bremen.de
aisencia: EXIST Business Start-up Grant in Anniversary Year for University of Bremen Spin-Off
aisencia, a spin-off from the University of Bremen, secured second place in the 'pre-seed' category of the EXIST Start-up Award at the EXIST Congress 2024, aiming to digitalize and facilitate skin disease diagnosis. The company's AI model can recognize over 40 diseases, accounting for about 80% of daily dermatopathology diagnoses.
2024-10
Frequently Asked Questions
Aisencia is a clinical decision support system designed to assist physicians in making informed decisions. It integrates with existing EHR systems through standard APIs, allowing for seamless data exchange and real-time alerts based on patient data and evidence-based guidelines.
Aisencia offers features such as real-time drug-drug interaction alerts, personalized treatment recommendations, diagnostic support, and predictive analytics for patient risk stratification. These features aim to reduce medical errors, improve diagnostic accuracy, and optimize treatment plans, thereby enhancing patient care and streamlining physician workflow.
Aisencia is built with robust security measures and adheres to strict regulatory standards like HIPAA and GDPR. It employs end-to-end encryption, access controls, and regular security audits to protect patient data and ensure compliance with privacy regulations.
Several alternatives exist, including systems like Epic's Best Practice Advisories, Cerner's Discern Expert, and various specialized point-of-care tools. Aisencia differentiates itself through its advanced AI algorithms, intuitive user interface, and comprehensive knowledge base, often demonstrating superior efficacy in specific clinical scenarios and ease of use compared to some competitors.
Aisencia typically offers a tiered subscription model, with pricing varying based on the size of the practice or hospital system, the number of users, and the specific features required. Custom enterprise solutions are also available, and detailed pricing can be obtained through a direct consultation with their sales team.
Potential limitations include the need for initial data integration and customization, which can require IT resources. Over-reliance on alerts, alert fatigue, and the need for continuous physician training to maximize its benefits are also considerations in a busy clinical setting.
Aisencia employs a dedicated team of medical experts and data scientists who continuously monitor and integrate the latest medical research, clinical trials, and evolving guidelines into its knowledge base. This ensures that the decision support provided remains current and evidence-based.
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| Last Verified: 2026-09-11 | First Added: 2026-09-11