Overview of Artificial Intelligence in Medical Entomology and Its future

Article Type:  Editorial

Published on:  Year: 2026; Volume: 6; Issue: 1; Page No: 1 – 2

Author:  Jayanthi Sureshbabu 

https://doi.org/10.55349/ijmsnr.20266112

Affiliation:  Editor-In-Chief, International Journal of Medical Sciences and Nursing Research, Coimbatore, Tamil Nadu, India and Formerly Lecturer in Medical Entomology, Department of Community Medicine, Pondicherry Institute of Medical Sciences, Kalapet, Pondicherry, India.

Email ID:  editorinchief.ijmsnr@gmail.com   and   Editor-in-chief@ijmsnr.com

How to cite this article:  Sureshbabu J.  Overview of Artificial Intelligence in Medical Entomology and Its future.  Int J Med Sci and Nurs Res 2026;6(1):1–2.  DOI:  https://doi.org/10.55349/ijmsnr.20266112

 Submitted:  05-January-2026   Revised: 20-February-2026   Accepted: 10-March-2026   Published: 31-March-2026

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Introduction

Medical Entomology (ME) [1] is operating through Artificial Intelligence (AI) [2] powered surveillance, methods of genetic controls, and pest control maintenance/management based on the climatic condition and focusing and controlling VBD spread due to higher temperatures.  AI is making revolution in the field of entomology by various new techniques and procedures [3] like computer, machine learning technique, automatic identification of vectors and insects, monitoring closely and its behavior wise also.  AI will manage the pest control in the agriculture field, controlling the diseases causes by vector, and biodiversity related research is to be motivated / accelerated via recognition of images.  Nevertheless, AI reduces the man power, accuracy in the results in the medical or any other field researches and also in ecological studies.  Medical entomology teaching in many Universities, and Colleges in India.  [4, 5] ME is also an important subject in the medical curriculum in India. [6]

Application of Artificial Intelligence in Entomology: [1]

Application of AI in entomology as follows:

Vector or Pest Control in the area Agriculture: [7]  AI helps in the reducing the quantity of insecticide to control the vector or pest in the agricultural field.  Also helps to insecticides to be apply in the targeted places, and most cost-effective.  By these ways, we have to make the sustainable pest control management.

Identification of vector/pest and maintenance: AI is used to write the Convolutional Neural Networks (CNN) to analyze the images of insects and to identifying them.  Using this AI technology we have to count the mushroom files then and there and control them in a systematic manner. [7]

Taxonomy and its classifications:  Identifying the morphological features like antennae and wing patterns of the insects can identify and based on their characteristics we have to classify insects/species with accurately.

Study related to behavior and ecological: [8]  Nowadays AI helps to monitoring, tracking, and analyzing the movement of insects in the environment in both indoor and outdoor areas.  Furthermore, AI can also helpful to analyze the behavioral changes of the insects.  This will predict the health issues and respond to environmental stressors.

Digital Method in the research:  This method is very much useful identification of insects, its types by 3D image (Example: X-ray) analysis method.  By this way creating a big size of insects’ museum collection digitally.

Benefits of Artificial Intelligence in entomology: [9] By AI, the efficiency has to be increased, then the identification of species will be improved, and surveillance of a particular population which was in remote area.  The process of collection is also accurate and in fast mode, big datasets would be stored and we can retrieve whenever need.

Artificial Intelligence trends in future: [1]

Prediction Model:  Artificial Intelligence (AI) has used to predict what is the status of insects’ population in a particular area?  Whether the distributions of insects will change due to climatic conditions or not?

Digital Model:  AI is very much useful in the forming and helping to digitalization, to analyze and catalog very huge entomological collections.

References

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  2.  Sureshbabu J.  Overview of Artificial Intelligence in Medical Entomology and Its Research.  Int J Med Sci and Nurs Res 2025;5(4):1–3.  DOI:  https://doi.org/10.55349/ijmsnr.20255413
  3.  Sureshbabu J.  Why We Need Medical Entomology in Medical Field in India?   Int J Med Sci and Nurs Res 2025;5(2):1–2.   DOI:  https://doi.org/10.55349/ijmsnr.20255212
  4.  Medical Entomology and its teaching institutions in India. Int J Med Sci and Nurs Res 2025;5(1):1-2.   DOI:  https://doi.org/10.55349/ijmsnr.20255112
  5.  Sureshbabu J.  An update on the dengue fever spreading and its situation in India.  Int J Med Sci and Nurs Res 2024;4(3):1–3.   DOI: https://doi.org/10.55349/ijmsnr.20244313
  6.  Sureshbabu J.  Medical Entomology is an Important Discipline in the Medical field and its Research.  Int J Med Sci and Nurs Res 2024;4(4):1-2.   DOI:  https://doi.org/10.55349/ijmsnr.20244412
  7.  Sureshbabu J.  Present scenario on dengue disease in various states of India.  Int J Med Sci and Nurs Res 2023;3(4):1–3.  DOI:   https://doi.org/10.55349/ijmsnr.20233413
  8.  Morris EK. Behavior analysis and ecological psychology: past, present, and future. a review of Harry Heft’s Ecological Psychology in context. J Exp   Anal  Behav. 2009 Sep;92(2):275-304. DOI: 10.1901/jeab.2009.92-275. PMID: 20354604; PMCID: PMC2732324
  9.  Chude Meghraj V, Choudhary NL.  Artificial intelligence in entomology research:  Species identification, behaviour, disease vector analysis and data   processing .  International Journal of Entomology Research 2024; 9(11):84-89.

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