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September 18, 2025

Artificial Intelligence in Cancer Diagnostics: Clinical Performance, Workflow Impact, and Future Directions

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Authors

STSyed Maaz TariqHMH. MajeedMSMuhammad Shabbir

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Overview

Review examines artificial intelligence's role in diagnostic accuracy in cancer, highlighting workflow efficiency and ethical concerns.

Key Points

  • Artificial intelligence tools show comparable or superior performance to human experts in cancer diagnostics, increasing accuracy.
  • The integration of artificial intelligence in digital pathology enhances workflow efficiency, repeatability, and data analysis.
  • Standardized assessments and ethical considerations are critical for the integration of artificial intelligence in clinical settings.
  • Deep learning technologies in cancer diagnosis may reduce healthcare disparities, though significant challenges remain in implementation.

Cite This Study

Tariq et al. (2025) studied this question.

synapsesocial.com/papers/68d433a3713b0b5dfea72c35https://doi.org/10.63163/jpehss.v3i3.534
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