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Review
. 2023 Nov;16(11):2106-2111.
doi: 10.1111/cts.13619. Epub 2023 Aug 30.

Artificial intelligence in rare disease diagnosis and treatment

Magda Wojtara  1 , Emaan Rana  2 , Taibia Rahman  3 , Palak Khanna  4 , Heshwin Singh  5
Affiliations
Review

Artificial intelligence in rare disease diagnosis and treatment

Magda Wojtara et al. Clin Transl Sci. 2023 Nov.

Abstract

Artificial intelligence (AI) utilization in health care has grown over the past few years. It also has demonstrated potential in improving the efficiency of diagnosis and treatment. Some types of AI, such as machine learning, allow for the efficient analysis of vast datasets, identifying patterns, and generating key insights. Predictions can then be made for medical diagnosis and personalized treatment recommendations. The use of AI can bypass some conventional limitations associated with rare diseases. Namely, it can optimize traditional randomized control trials, and may eventually reduce costs for drug research and development. Recent advancements have enabled researchers to train models based on large datasets and then fine-tune these models on smaller datasets typically associated with rare diseases. In this mini-review, we discuss recent advancements in AI and how AI can be applied to streamline rare disease diagnosis and optimize treatment.

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Conflict of interest statement

The authors declared no competing interests for this work.

Figures

FIGURE 1
FIGURE 1
Types of artificial intelligence (AI) and their application in the medical field.
See this image and copyright information in PMC

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