Can AI really detect nail mycosis? Mindpeak and Sagis Diagnostics have the answer!

Mindpeak GmbH, a leader in AI-powered pathological innovations, has joined forces with Sagis Diagnostics to launch a pioneering study evaluating the effectiveness of the new Mindpeak Onychomycosis AI algorithm. This collaboration is set to revolutionize the detection of onychomycosis (nail fungus) on PAS-stained whole slide images, showcasing the transformative impact of AI in pathology.

Founded in 2018, Mindpeak has established itself as a global innovator in digital pathology solutions driven by artificial intelligence. The company develops sophisticated algorithms designed to support pathologists in routine diagnostics, focusing on automated tissue analysis for enhanced speed and accuracy. These solutions are tailored to boost productivity and diagnostic confidence in clinical laboratories, ultimately improving patient outcomes in fields such as cancer care.

The Onychomycosis AI algorithm by Mindpeak is engineered to automate the detection of fungal hyphae across multiple slides. It effectively identifies these structures, which are often sparsely distributed in whole-slide images, thereby minimizing the risk of missed diagnoses and enhancing diagnostic reliability.

Sagis Diagnostics, a physician-led pathology group supported by a CLIA and CAP-accredited histology laboratory, brings extensive expertise to the collaboration. With board-certified, subspecialty-trained pathologists, Sagis offers premium diagnostic services to a range of medical entities, including physicians, surgery centers, and hospitals. Their dedication to quality leverages the latest diagnostic tools to deliver exceptional service.

Felix Faber, CEO of Mindpeak, expressed enthusiasm about the partnership, noting, “We are thrilled to embark on this collaborative study with Sagis Diagnostics. This research will not only showcase the capabilities of our Onychomycosis AI but also highlight its potential to streamline workflows, save time, and improve patient care through more accurate diagnoses.”