Artificial intelligence (AI) molecular analysis tool assists in rapid treatment decision in lung cancer: A case report

Barliz Waissengrin*, Alexandra Garasimov, Or Bainhoren, Ofer Merimsky, Sivan Shamai, Ariel Erental, Ido Wolf, Dov Hershkovitz

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Leptomeningeal involvement among non-small cell lung cancer (NSCLC) patients is an aggressive form of disease that requires quick and efficient treatment. In this case report, we describe a woman in her 40s with a presenting symptom of headache that ultimately was diagnosed as leptomeningeal spread from NSCLC adenocarcinoma. We identified EGFR mutation in less than 48 hours from the biopsy using imagene-artificial intelligence's real-time algorithmic solution on the pathological diagnostic slide.

Original languageEnglish
Pages (from-to)790-792
Number of pages3
JournalJournal of Clinical Pathology
Volume76
Issue number11
DOIs
StatePublished - 1 Nov 2023

Keywords

  • Diagnostic Techniques and Procedures
  • Genes, Neoplasm
  • Image Processing, Computer-Assisted
  • LUNG CANCER

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