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Review
. 2024 Nov 12;22(1):11.
doi: 10.3892/br.2024.1889. eCollection 2025 Jan.

Artificial intelligence in healthcare (Review)

Abdul-Mohsen G Alhejaily  1
Affiliations
Review

Artificial intelligence in healthcare (Review)

Abdul-Mohsen G Alhejaily. Biomed Rep. .

Abstract

The potential of artificial intelligence (AI) to significantly transform numerous aspects of contemporary civilization is substantial. Advancements in research show an increasing interest in creating AI solutions in the healthcare sector. This interest is driven by the broad spectrum and extensive nature of easily accessible patient data-including medical imaging, digitized data collection, and electronic health records - and by the ability to analyze and interpret complex data, facilitating more accurate and timely diagnoses. This review's goal is to provide a comprehensive overview of the advancements achieved by AI in healthcare, to elucidate the present state of AI in enhancing the healthcare system and improving the quality and efficiency of healthcare decision making, and to discuss selected medical applications of AI. Furthermore, the barriers and constraints that may impede the use of AI in healthcare are outlined, and the potential future directions of AI-augmented healthcare systems are discussed.

Keywords: artificial intelligence; clinical decision support; deep learning; digital pathology; digital transformation; healthcare; machine learning.

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Conflict of interest statement

The author has no competing interests to declare.

Figures

Figure 1
Figure 1
Schematic outlining the relationship between artificial intelligence, machine learning and deep learning.
Figure 2
Figure 2
Workflow chart depicting the utilization of AI in digital pathology.AI, artificial intelligence; EHR, Electronic Health Record.
See this image and copyright information in PMC

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