Publications by authors named "J B Schlager"
Accurate melanoma diagnosis is crucial for patient outcomes and reliability of AI diagnostic tools. We assess interrater variability among eight expert pathologists reviewing histopathological images and clinical metadata of 792 melanoma-suspicious lesions prospectively collected at eight German hospitals. Moreover, we provide access to the largest panel-validated dataset featuring dermoscopic and histopathological images with metadata.
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- Scientists are studying how well AI can help find melanoma, a serious skin cancer, by testing it against dermatologists using a wide variety of skin images from different hospitals.
- They found out that the AI was better at catching melanoma early compared to the dermatologists, which could help patients get treated faster.
- The researchers think that using AI could be a great tool for doctors, especially for tricky cases of skin cancer.
Exudates of nonhealing wounds contain drivers of pathogenicity. We utilized >800 exudates from nonhealing and healing wounds of diverse etiologies, collected by 3 different methods, to develop a wound-specific, cell-based functional biomarker assay. Human dermal fibroblast proliferation served as readout to (i) differentiate between healing and nonhealing wounds, (ii) follow the healing process of individual patients, and (iii) assess the effects of therapeutics for chronic wounds ex vivo.
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