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Cognitive psychology is the field of psychology dedicated to examining how people think. It attempts to explain how and why we think the way we do by studying the interactions among human thinking, emotion, creativity, language, and problem-solving, as well as other cognitive processes. Cognitive psychology studies how information is processed and manipulated in remembering, thinking, and knowing.
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Artificial Intelligence in Histopathology.

Prathibha Prasad1,2,3, Al Moutassem Billah Khair1,2, Musab Saeed2,4

  • 1Department of Basic Medical and Dental Sciences, College of Dentistry, Ajman University, Ajman, United Arab Emirates.

Journal of Pharmacy & Bioallied Sciences
|March 10, 2025
PubMed
Summary
This summary is machine-generated.

Artificial intelligence (AI) is transforming healthcare by enhancing digital pathology slide imaging. Machine learning and deep learning algorithms improve diagnostic speed and accuracy for pathologists.

Keywords:
AIimagingpathology

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Area of Science:

  • Digital pathology
  • Medical imaging analysis
  • Artificial intelligence in healthcare

Background:

  • Artificial intelligence (AI) is increasingly integrated into healthcare.
  • Digital pathology utilizes AI algorithms for quantitative analysis of histopathology images.
  • AI promises to reduce pathologist workload and improve report consistency.

Purpose of the Study:

  • To review the role of AI in enhancing digital pathology slide imaging.
  • To explore how machine learning and deep learning improve diagnostic processes.
  • To highlight AI's potential to accelerate medical diagnoses.

Main Methods:

  • Review of current literature on AI in digital pathology.
  • Analysis of deep learning and machine learning applications in histopathology image analysis.
  • Discussion of AI's impact on diagnostic workflows.

Main Results:

  • AI algorithms can extract quantitative data from histopathology slides.
  • AI enhances image analysis, potentially improving diagnostic accuracy and speed.
  • AI can identify subtle patterns, aiding in treatment decisions.

Conclusions:

  • AI is revolutionizing healthcare, particularly in digital pathology.
  • Machine learning and deep learning are key AI technologies for pathology.
  • AI integration can lead to faster, more objective, and impactful diagnoses.