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May 7, 2026Internal Medicine0 citationsOpen Access

Applying Artificial Intelligence Technologies to Detect Pancreatic Ductal Adenocarcinoma Using Routine Laboratory Tests: A Pilot Study with the Aid of Machine Learning Suitable for a Small Data Analysis

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AKAkinobu KoiwaiMHMorihisa HirotaKSKenichi Sato

Key Points

  • This research investigates the potential of artificial intelligence to detect pancreatic ductal adenocarcinoma in patients under 70 using routine laboratory tests.
  • Pilot study design focused on patients aged <70 years.
  • Utilized only routine laboratory tests for detection.
  • Employed machine learning techniques for data analysis.
  • Artificial intelligence effectively identifies PDAC using routine tests.
  • Indicated the feasibility of early detection in a regular checkup context.

Abstract

Objective This study aimed to investigate whether artificial intelligence could identify pancreatic ductal adenocarcinoma (PDAC) in patients aged <70 years using only routine laboratory tests (RLTs) applicable to regular health checkups.

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Cite This Study

Koiwai et al. (2026) studied this question.

synapsesocial.com/papers/69fbe357164b5133a91a28bdhttps://doi.org/10.2169/internalmedicine.7036-25
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