Improving the Diagnosis of Melanoma and Precursor Lesions Among Veterans: Developing AI Techniques and Teledermatopathology

Abstract

In year 1, Aim 1 pilot sites and expert dermatopathologists were invited to take part in the teledermatopathology pilot study, as well as submission of a proposal to seek VA approval for a Quality Improvement project. Aim 2analyses are ongoing, utilizing archived cases of melanocytic skin lesions to develop computer aided tools. Final IRB approval has been obtained at the Puget Sound VA to create an Aim 3 data repository of melanocytic skin lesions. The scientific work involved in Aims 1-3 will ultimately accelerate our understanding of pathologists interpretation of melanoma and lead to the development of computer aided tools to improve diagnostic accuracy. The development and implementation of a VA Teledermatopathology system will be a transformative clinical resource to enhance the level of care for VA patients.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2021
Accession Number
AD1148580

Entities

People

  • Linda Shapiro

Organizations

  • University of Washington

Tags

Communities of Interest

  • Autonomy
  • Biomedical

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Biomedical Research
  • Communities
  • Computer Science
  • Department Of Defense
  • Digital Images
  • Engineering
  • Governments
  • Health Services
  • Humanities
  • Institutional Review Board
  • Local Governments
  • Machine Learning
  • Machines
  • Medical Personnel
  • Melanoma
  • Patent Applications
  • Physicians
  • Precursors
  • Professional Development
  • Puget Sound
  • Students
  • Technology Transfer

Fields of Study

  • Medicine

Readers

  • Medical or Health Care Field.
  • Oncology and Biomarker-Based Cancer Detection.
  • Research Science/Academic Research