Artificial Intelligence and Remote Monitoring in Modern Dentistry: A UX-Oriented Approach to Continuous Therapeutic Interaction Between Patient and Doctor

Antonina Kuzhym, Alexey Kolabin

Citation: Antonina Kuzhym, Alexey Kolabin, "Artificial Intelligence and Remote Monitoring in Modern Dentistry: A UX-Oriented Approach to Continuous Therapeutic Interaction Between Patient and Doctor", Universal Library of Medical and Health Sciences, Volume 04, Issue 01.

Copyright: This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

The development of artificial intelligence technologies and remote monitoring is significantly transforming dental treatment practices, shaping a new model of interaction between patients and clinicians. While treatment supervision previously relied primarily on in-office visits, modern digital tools enable continuous communication, dynamic condition tracking, and a new level of patient engagement. The aim of this article is to explore the impact of artificial intelligence on remote dental treatment monitoring from an interdisciplinary perspective that integrates clinical expertise with UX research. Special attention is given to differences in perception and effectiveness of digital monitoring among various age groups — children, adolescents, and adults — as well as to the role of interfaces, gamification, and digital communication in improving treatment adherence. This paper introduces the author’s concept of the Continuous Therapeutic Interaction Model (CTI Model), describing a new form of patient–doctor relationship in digital medicine, where observation, communication, and support become an ongoing process rather than an episodic event. The article is based on an analysis of scientific literature, clinical observations, and UX research practice in medical digital systems.


Keywords: Artificial Intelligence, Remote Monitoring, Dentistry, UX Design, Digital Health.

Download doi https://doi.org/10.70315/uloap.ulmhs.2026.0401002