The integration of Artificial Intelligence (AI) into pathology is an exciting clinical reality with the potential to make a significant impact on the pathology workflow and patient care. Because dermatology is a broad specialty with very unique pathology needs, the list of currently available AI solutions is small. However, there are some standout solutions worth looking into and keeping an eye on.
Below is a list of the top AI companies currently assisting the digital transformation of dermatopathology, providing solutions that can empower dermpaths to streamline their workflow and gain the potential to deliver better patient care.
1. Primaa
Primaa’s flagship solution for skin, Cleo Skin, is a primary diagnostic solution designed to act as an “AI assistant,” automating some of the most tedious and error-prone parts of dermatopathology. Cleo Skin is designed to detect the presence or absence of dedicated biomarkers of skin tissue lesions based on numericized image analysis of histological whole slide images. It provides pathologists with an automatic reading of skin cancer diagnosis fully integrated with the laboratory machines. Cleo Skin is intended to be used as an aid to diagnosis, and its results must be reviewed by accredited doctors.
2. aisencia
While some companies focus solely on “high-level” triage, aisencia’s specialty lies in its breadth of disease coverage. Their primary diagnostic module, Cutaneous80, strives to assist dermatopathologists in an estimated 80% of their routine daily cases. Cutaneous80 can detect and classify more than 40 different skin conditions, covering high-volume cases like Basal Cell Carcinoma (BCC), as well as rarer lesions like Merkel Cell Carcinoma. They also offer modules for non-cancerous conditions like psoriasis and eczema, which are notoriously difficult for AI due to their morphological overlap. Their Explainable AI (xAI) system provides visual heatmaps and evidence-based suggestions that show the pathologist why the AI reached a specific conclusion, rather than providing a “black box” result.
3. Helmholtz Munich & TUM
HistoGPT is a new solution you should definitely keep an eye on! Developed by researchers at Helmholtz Munich and the Technical University of Munich (TUM), it was recently featured in Nature Communications (2025) as a breakthrough in automating complex clinical documentation. While other AI companies focus on detecting lesions and taking measurements, HistoGPT is a Vision-Language Model (VLM) designed to write the first draft of a pathology report. The model’s ability to provide accurate, standardized reports makes it especially valuable in healthcare environments where there is high demand and limited resources, helping to improve efficiency and consistency in patient care.
4. PathAI
PathAssist Derm is another solution for dermatopathologists looking for AI tools. It features automated rotation of digital images to orient the epidermis at the top. It can also detect 17 different skin lesion types and automatically generate tissue measurements.
Conclusion
Digital tools have stepped in to bridge the gap between efficiency and diagnostic precision as laboratories face a growing volume of complex skin biopsies and a shrinking pool of specialized pathologists.
From high-throughput “foundation models” that analyze entire tissue slides in seconds to specialized algorithms capable of identifying the subtle nuances of rare melanomas, today’s market leaders are redefining the standard of care.
Getting Started with Digital Pathology for Derm
These tools are amazing solutions, but only if you can incorporate them into a digital pathology workflow. Lumea’s Viewer+ integrates derm AI tools directly into your process, so you never have to slow down or switch screens as you work. And, our tech ensures higher quality samples for better AI performance.
Learn more about our digital diagnostic solutions for dermpaths and how it can benefit your practice and lab by visiting our Lumea solutions for Derm page, or request more information today.
