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Artificial Intelligence in Health AI in AD – Diagnosis and monitoring

Developing instructional programs to help doctors Ethics approval and consent to participate
successfully use and interpret AI products and services
through continuous education is another important factor Not applicable.
to take into account. Although AI holds great potential to Consent for publication
improve diagnosis, there are several possible drawbacks,
including the risk of false diagnoses and erroneous risk Not applicable.
assessments. Establishing formal collaboration between
industry, the research community, and health-care systems Availability of data
is critical. Such collaboration is necessary to handle every Not applicable.
important facet of AI and guarantee a smooth transfer
from academic research to practical implementation. References

In the near future, physicians and AI-guided computers 1. Huchegowda R, Huchegowda S, Pramer J, et al. Review on
will probably work closely together. AI has the ability to artificial intelligence and applications in healthcare. Neuro
change clinical management by assisting physicians in Open J. 2019;6(1):e1-e4.
analyzing patient data on an individual basis, identifying doi: 10.17140/noj-6-e010
108
trends in different diagnostic test results, and more. In 2. Lopez-Jimenez F, Attia Z, Arruda-Olson AM, et al. Artificial
this setting, the role of medical experts in interdisciplinary intelligence in cardiology: Present and future. Mayo Clin
teams becomes essential. The implementation of AI Proc. 2020;95(5):1015-1039.
algorithms requires the collection and analysis of large doi: 10.1016/j.mayocp.2020.01.038
amounts of data, which calls for interpretation within a
particular healthcare setting. The domain of “augmented 3. Rajpurkar P, Chen E, Banerjee O, Topol EJ. AI in health and
intelligence,” where people and machines cooperate to medicine. Nat Med. 2022;28(1):31-38.
enhance the diagnostic workflow, share judgments, and doi: 10.1038/s41591-021-01614-0
work in concert, is where clinicians and computers can 4. Cichocki A. Chief Editor’s foreword to the inaugural issue of
effectively collaborate. This collaboration has the potential artificial intelligence in health. AIH. 2024;1(1):2463.
to effectively minimize emotional and economic burdens, doi: 10.36922/aih.2463
leading to more efficient patient care in the health sector.
5. Esteva A, Kuprel B, Novoa RA, et al. Dermatologist-level
Acknowledgments classification of skin cancer with deep neural networks.
Nature. 2017;542(7639):115-118.
Pratheek Jain and Vinay Alva express gratitude towards
Pavara Institute of Medical Sciences (PIMS), Loni, doi: 10.1038/nature21056
Maharastra, for research support. All authors thank the 6. DaVeiga SP. Epidemiology of atopic dermatitis: A review.
Management of Alva’s Education Foundation (AEF), Allergy Asthma Proc. 2012;33(3):227-234.
Moodubidire, ATMA Research Centre, Vidyagiri, and BLDE doi: 10.2500/aap.2012.33.3569
University, Karnataka, for the constant research motivation.
7. Williams H, Stewart A, Von Mutius E, Cookson W,
Funding Anderson HR, International Study of Asthma and Allergies
in Childhood (ISAAC) Phase One and Three Study Groups.
None. Is eczema really on the increase worldwide? J Allergy Clin
Immunol. 2008;121(4):947-954.e15.
Conflict of interest
doi: 10.1016/j.jaci.2007.11.004
The authors declare that they have no conflicts of interest. 8. Furue M, Chiba T, Takeuchi S. Current status of atopic
Author contributions dermatitis in Japan. Asia Pac Allergy. 2011;1(2):64-72.
doi: 10.5415/apallergy.2011.1.2.64
Conceptualization: Farhan Zameer, Raghavendra Hallur
Laxmanashetty 9. Williams HC, Strachan DP. The natural history of childhood
Data curation: Ravish Huchegowda, Ali Jawad Akki eczema: Observations from the British 1958 birth cohort
Writing – original draft: Pratheek Jain, Kounaina Khan, study. Br J Dermatol. 1998;139(5):834-839.
Vinay Alva doi: 10.1046/j.1365-2133.1998.02501.x
Writing – review & editing: Raghu Anjanapura 10. Paternoster L, Savenije OE, Heron J, et al. Identification of
Venkataramanaiah, Muthuchelian Krishnasamy, atopic dermatitis subgroups in children from 2 longitudinal
Dilip Apturkar birth cohorts. J Allergy Clin Immunol. 2018;141(3):964-971.

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