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Artificial Intelligence in Health

REVIEW ARTICLE
Artificial intelligence in diagnosis and

monitoring of atopic dermatitis: From pixels to
predictions

1,2
Pratheek Jain , Farhan Zameer *, Kounaina Khan , Vinay Alva ,
1
1,3
1
5
4
5
Ravish Huchegowda , Ali Jawad Akki , Raghu Anjanapura Venkataramanaiah ,
Muthuchelian Krishnasamy , Dilip Apturkar , and
3
6
Raghavendra Hallur Laxmanashetty *
2
1 PathoGutOmics Laboratory, Alva’s Traditional Medicinal Archive (ATMA), Department of Ayurveda
Pharmacology, Alva’s Ayurveda Medical College, Moodubidire, Karnataka, India
2 Centre for Biotechnology, Pravara Institute of Medical Sciences, Ahmednagar, Maharashtra, India
3 Department of Surgery, Dr. Balasaheb Vikhe Patil Rural Medical College, Pravara Institute of
Medical Sciences (Deemed to be University), Ahmednagar, Maharashtra, India
4 Department of Neurochemistry, National Institute of Mental Health and Neuro Sciences (NIMHANS),
Bengaluru, Karnataka, India
5 Department of Chemistry, Faculty of Science and Technology, Bijapur Lingayat District Educational
(Deemed to be University), Vijayapura, Karnataka, India
6 Department of Biotechnology, M.G.R. College, Dr. MGR Nagar, Hosur, Tamil Nadu, India
Abstract

In any ailment, the identification of the symptoms, detection, and diagnosis
*Corresponding authors: plays a pivotal role in treatment and therapy. However, certain diseases share
Raghavendra Hallur Laxmanashetty similar symptoms, lacking signature key indicators, which can lead to fallacious or
(director.biotech@pmtpims.org)
Farhan Zameer incorrect inferences. Skin disorders, such as pruritus, dermatitis, eczema, psoriasis,
(farhanzameeruom@gmail.com) and ichthyosis, all present similar symptoms, which confound clinicians. One such
Citation: Jain P, Zameer F, commonly misunderstood condition is atopic dermatitis (AD), a chronic inflammatory
Khan K, et al. Artificial intelligence skin condition characterized by its relapsing nature, which heightens the importance
in diagnosis and monitoring of atopic of diagnosis and disease monitoring for effective management. Recent strides in
dermatitis: From pixels to predictions.
Artif Intell Health. 2024;1(2): 48-65. artificial intelligence (AI) have opened avenues for precise diagnosis and continuous
doi: 10.36922/aih.2775 monitoring of AD. This review explores and evaluates current applications of AI in the
Received: January 18, 2024 diagnosis and monitoring of individuals with AD emphasizing the need to address
challenges and collaborate across intra-, inter-, trans-, and multi-disciplinary domains
Accepted: March 1, 2024 to maximize the benefits of AI in enhancing the precision of AD diagnosis, ultimately
Published Online: April 18, 2024 leading to improved patient care and satisfaction through technologically-driven
Copyright: © 2024 Author(s). biomedical tools in customized healthcare.
This is an Open-Access article
distributed under the terms of the
Creative Commons Attribution Keywords: Deep learning; Machine learning; Convolutional neural networks; Artificial
License, permitting distribution, neural network; Pruritus
and reproduction in any medium,
provided the original work is
properly cited.
Publisher’s Note: AccScience 1. Introduction
Publishing remains neutral with
regard to jurisdictional claims in Artificial intelligence (AI) has greatly improved our quality of life and is now widely used
published maps and institutional
affiliations. in many areas, including healthcare. Examples of its applications include autonomous

Volume 1 Issue 2 (2024) 48 doi: 10.36922/aih.2775