MOOD OF THE DOCTORS: PROBLEMS, CHALLENGES AND PERSPECTIVES OF AI USE IN MEDICINE

Aim of the study: Artificial intelligence (AI) is gaining increasing and obvious implications in medical practice. The novelty of the research paper consists in evaluating the implicative relationship doctor-artificial intelligence (AI) in medical practice, a hot and current topic, with implications on physicians' receptivity to the use and perspectives of AI in medicine, which derive from the mood, introverted and extroverted components of physicians. Materials and methods: The aim of the research is to reveal the challenges and prospects of using AI in medicine in relation to the mood of doctors, namely, the classification of emotions, feelings as part of the introvert and attitude, as the extrovert part of doctors, in practical interaction with AI. This includes providing an aesthetic and ethical experience in the doctor-AI relationship within medical practice. .Results: The holistic approach to the doctor-patient-AI relationship is identified as a solution for increasing the attention and involvement of doctors in the use of high-performance technologies. This approach supports medical practice outcomes and aims to improve the quality of life of patients. Conclusions: The findings suggest that enhancing the doctor-AI relationship through a focus on emotions and attitudes fosters receptivity among physicians, leading to better integration of AI technologies and improved patient care.

Authors

Publication Details

Journal
Romanian Journal of Oral Rehabilitation
Published
2024-12-20
DOI
https://doi.org/10.62610/rjor.2024.4.16.70
Primary Topic
Vaccine Coverage and Hesitancy
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

MOOD OF THE DOCTORS: PROBLEMS, CHALLENGES AND PERSPECTIVES OF AI USE IN MEDICINE

Alexandru Grigorovici, Roxana Grigorovici, Tudor Florin Ursuleanu, Andreea Roxana Luca et al.
Romanian Journal of Oral Rehabilitation
Vaccine Coverage and Hesitancy
article

MOOD OF THE DOCTORS: PROBLEMS, CHALLENGES AND PERSPECTIVES OF AI USE IN MEDICINE

Alexandru Grigorovici, Roxana Grigorovici, Tudor Florin Ursuleanu, Andreea Roxana Luca, Alina Mihaela Călin, Maria Comănescu, Cristian Stefan Hlescu, Ramona Elena Teiu
article en

Abstract

Aim of the study: Artificial intelligence (AI) is gaining increasing and obvious implications in medical practice. The novelty of the research paper consists in evaluating the implicative relationship doctor-artificial intelligence (AI) in medical practice, a hot and current topic, with implications on physicians' receptivity to the use and perspectives of AI in medicine, which derive from the mood, introverted and extroverted components of physicians. Materials and methods: The aim of the research is to reveal the challenges and prospects of using AI in medicine in relation to the mood of doctors, namely, the classification of emotions, feelings as part of the introvert and attitude, as the extrovert part of doctors, in practical interaction with AI. This includes providing an aesthetic and ethical experience in the doctor-AI relationship within medical practice. .Results: The holistic approach to the doctor-patient-AI relationship is identified as a solution for increasing the attention and involvement of doctors in the use of high-performance technologies. This approach supports medical practice outcomes and aims to improve the quality of life of patients. Conclusions: The findings suggest that enhancing the doctor-AI relationship through a focus on emotions and attitudes fosters receptivity among physicians, leading to better integration of AI technologies and improved patient care.

Romanian Journal of Oral RehabilitationVol. 16(4)
Openalex Percentile: Top 65%
Vaccine Coverage and Hesitancy
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.