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Related Experiment Video

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Deep Learning Applications in Pancreatic Cancer.

Hardik Patel1, Theodoros Zanos1, D Brock Hewitt2

  • 1Northwell Health-The Feinstein Institutes for Medical Research, Manhasset, NY 11030, USA.

Cancers
|January 26, 2024
PubMed
Summary

Artificial intelligence (AI) and deep learning (DL) show promise in improving pancreatic cancer (PC) care. This review explores AI applications in diagnosing, managing, and monitoring PC patients, offering a new avenue for treatment.

Keywords:
artificial intelligencedeep learningpancreatic cancer

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Area of Science:

  • Oncology
  • Medical Imaging
  • Artificial Intelligence

Background:

  • Pancreatic cancer (PC) remains a highly lethal gastrointestinal malignancy with a poor 5-year survival rate of 12% despite current therapeutic advancements.
  • Existing treatments including imaging, chemotherapy, radiation therapy, and surgery have limited impact on overall survival.
  • The rapid integration of artificial intelligence (AI) across various sectors presents an opportunity to enhance PC patient care.

Purpose of the Study:

  • To systematically review the applications of deep learning (DL) techniques in the diagnosis, management, and monitoring of pancreatic cancer (PC).
  • To explore the potential of AI as an emerging technology to improve outcomes for patients with PC across different pathological subtypes.

Main Methods:

  • Systematic review of existing literature on deep learning (DL) applications in pancreatic cancer (PC).
  • Analysis of DL techniques applied across the continuum of PC care, including diagnosis, treatment management, and patient monitoring.
  • Categorization of AI applications based on different pathological subtypes of pancreatic cancer.

Main Results:

  • Deep learning (DL) techniques demonstrate diverse applications in enhancing the diagnosis of pancreatic cancer (PC) through improved imaging analysis.
  • AI-driven tools are being developed for optimizing treatment strategies and monitoring disease progression in PC patients.
  • The review highlights the growing role of AI in addressing the challenges associated with pancreatic cancer management.

Conclusions:

  • Artificial intelligence (AI), particularly deep learning (DL), represents a significant emerging technology with the potential to transform pancreatic cancer (PC) care.
  • Further research and clinical integration of AI are warranted to fully realize its benefits in improving patient survival and outcomes for this devastating disease.