AI assistance improves accuracy and consistency in skin cancer tissue analysis

AI assistance improves accuracy and consistency in skin cancer tissue analysis

Publication date: Jul 05, 2025

The AI-supported assessments also provided a more accurate picture of the patients’ disease prognoses since the study was retrospective, there was a ‘correct answer’ to compare with. Pathologists’ examinations of tissue samples from skin cancer tumors improved when they were assisted by an AI tool. The second group included pathologists, but also researchers from other professions all of whom had some experience in assessing pathological images. they looked at digital images of stained tissue sections and estimated the amount of TILs according to current guidelines. An important part of pathologists’ work in malignant melanoma is to estimate the amount of TILs. Everyone assessed 60 tissue sections, all from patients with malignant melanoma. In malignant melanoma, the presence of TILs plays a role in both diagnosis and prognosis, with a high presence being favorable.

Concepts Keywords
Accurate Assessments
Author Assisted
Oncology Images
Swedish Important
Yale Institutet
Karolinska
Malignant
Melanoma
Pathologists
Patients
Prognoses
Skin
Tils
Tissue
Tumor

Semantics

Type Source Name
disease MESH skin cancer
disease MESH tumors
disease MESH malignant melanoma

Original Article

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