The CLASS Project: A Proof-of-Concept Machine Learning-Driven Complexity Level Algorithm for Surgical Scheduling in Mohs Micrographic Surgery

We demonstrated feasibility for prediction of Mohs surgery case complexity. Combining machine and human-derived knowledge provides complementary insights that can assist with improving scheduling and workflow.

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Publication Details

Journal
Dermatologic Surgery
Published
2025-11-19
DOI
https://doi.org/10.1097/dss.0000000000004951
Primary Topic
Cutaneous Melanoma Detection and Management
Type
article
Field-Weighted Citation Impact
0.00
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article

The CLASS Project: A Proof-of-Concept Machine Learning-Driven Complexity Level Algorithm for Surgical Scheduling in Mohs Micrographic Surgery

Heather D Hardway, Jorge A. Rios‐Duarte, Nahid Y. Vidal
Dermatologic Surgery
Cutaneous Melanoma Detection and Management
article

The CLASS Project: A Proof-of-Concept Machine Learning-Driven Complexity Level Algorithm for Surgical Scheduling in Mohs Micrographic Surgery

Heather D Hardway, Jorge A. Rios‐Duarte, Nahid Y. Vidal
article en

Abstract

We demonstrated feasibility for prediction of Mohs surgery case complexity. Combining machine and human-derived knowledge provides complementary insights that can assist with improving scheduling and workflow.

Dermatologic Surgery
Mayo Clinic (US), WinnMed (US), Mayo Clinic in Florida (US)
Openalex Percentile: Top 46%
Cutaneous Melanoma Detection and Management
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