Back to search

Article

Development and Validation of Machine Learning Models for Predicting 13 or More Sections in Mohs Micrographic Surgery

2026-07-21

Abstract excerpt

<h4>Background</h4> Cases requiring 13 or more tissue sections in Mohs micrographic surgery (MMS) demand extended operative time, additional resources, and often specialised closure techniques. Pre-operative identification of such cases would improve surgical scheduling, resource allocation, and patient counselling. We aimed to develop and validate a machine learning prediction tool using pre-operative clinical f...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
3f6716c9-953b-58b2-bc54-693c2fe7c165
DOI
10.64898/2026.07.20.26358484
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Development and Validation of Machine Learning Models for Predicting 13 or More Sections in Mohs Micrographic SurgeryDOI 10.64898/2026.07.20.26358484
Select a neighboring publication to make it the new centre.