Metaverse and Medical Diagnosis: A Blockchain-Based Digital Twinning Approach Based on MobileNetV2 Algorithm for Cervical Vertebral Maturation
Advanced mathematical and deep learning (DL) algorithms have recently played a crucial role in diagnosing medical parameters and diseases. One of these areas that need to be more focused on is dentistry. This is why creating digital twins of dental issues in the metaverse is a practical and effectiv...
Main Authors: | Omid Moztarzadeh, Mohammad (Behdad) Jamshidi, Saleh Sargolzaei, Fatemeh Keikhaee, Alireza Jamshidi, Shabnam Shadroo, Lukas Hauer |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-04-01
|
Series: | Diagnostics |
Subjects: | |
Online Access: | https://www.mdpi.com/2075-4418/13/8/1485 |
Similar Items
-
Metaverse and Healthcare: Machine Learning-Enabled Digital Twins of Cancer
by: Omid Moztarzadeh, et al.
Published: (2023-04-01) -
The Meta-Metaverse: Ideation and Future Directions
by: Mohammad (Behdad) Jamshidi, et al.
Published: (2023-07-01) -
Metaverse and AI Digital Twinning of 42SiCr Steel Alloys
by: Omid Khalaj, et al.
Published: (2022-12-01) -
Metaverse or Urban Digital Twin: That is the Question
by: Romano Fistola, et al.
Published: (2024-09-01) -
Future of Drug Discovery: The Synergy of Edge Computing, Internet of Medical Things, and Deep Learning
by: Mohammad (Behdad) Jamshidi, et al.
Published: (2023-04-01)