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OPINION article

Front. Psychiatry
Sec. ADHD
Volume 15 - 2024 | doi: 10.3389/fpsyt.2024.1426155
This article is part of the Research Topic AI and Machine Learning Application for Neurological Disorders and Diagnosis View all 11 articles

A Short Report on ADHD Detection Using Convolutional Neural Networks

Provisionally accepted
Vikram Kulkarni Vikram Kulkarni 1*Bhushankumar Nemade Bhushankumar Nemade 2Shreyas K. Patel Shreyas K. Patel 3Keyur Patel Keyur Patel 4Dr. Srikanth Velpula Dr. Srikanth Velpula 5
  • 1 Mukesh Patel School of Technology Management and Engineering, SVKM's Narsee Monjee Institute of Management Studies, Mumbai, India
  • 2 Shree L. R. Tiwari College of Engineering, Mumbai University, Thane, Maharashtra, India
  • 3 IEEE Dallas County, Dallas, United States
  • 4 New Jersey Public Health Association, New Brunswick, United States
  • 5 SR University, Warangal, India, Warangal, United States

The final, formatted version of the article will be published soon.

    Keywords: deep learning, Attention Deficit Hyperactivity Disorder, Convolutional Neural Networks, Behavioural patterns, complex neurobiological features

    Received: 02 May 2024; Accepted: 08 Aug 2024.

    Copyright: © 2024 Kulkarni, Nemade, Patel, Patel and Velpula. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Vikram Kulkarni, Mukesh Patel School of Technology Management and Engineering, SVKM's Narsee Monjee Institute of Management Studies, Mumbai, India

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.