Tengilimoğlu, Dilaver

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Name Variants
D., Tengilimoglu
D., Tengilimoğlu
Tengilimoglu,D.
D.,Tengilimoglu
Tengilimoglu, D.
T., Dilaver
D.,Tengilimoğlu
Tengilimoglu, Dilaver
Tengilimoğlu,D.
T.,Dilaver
Dilaver, Tengilimoğlu
Dilaver, Tengilimoglu
Tengilimoglu D.
Tengilimoğlu D.
Tengilimoğlu, Dilaver
Tengilimoglu, Laver
Job Title
Profesor Doktor
Email Address
dilaver.tengilimoglu@atilim.edu.tr
Main Affiliation
Business
Status
Website
Scopus Author ID
Turkish CoHE Profile ID
Google Scholar ID
WoS Researcher ID

Sustainable Development Goals

2

ZERO HUNGER
ZERO HUNGER Logo

0

Research Products

11

SUSTAINABLE CITIES AND COMMUNITIES
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0

Research Products

14

LIFE BELOW WATER
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0

Research Products

6

CLEAN WATER AND SANITATION
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0

Research Products

1

NO POVERTY
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1

Research Products

5

GENDER EQUALITY
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1

Research Products

9

INDUSTRY, INNOVATION AND INFRASTRUCTURE
INDUSTRY, INNOVATION AND INFRASTRUCTURE Logo

5

Research Products

16

PEACE, JUSTICE AND STRONG INSTITUTIONS
PEACE, JUSTICE AND STRONG INSTITUTIONS Logo

3

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17

PARTNERSHIPS FOR THE GOALS
PARTNERSHIPS FOR THE GOALS Logo

6

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15

LIFE ON LAND
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0

Research Products

10

REDUCED INEQUALITIES
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2

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7

AFFORDABLE AND CLEAN ENERGY
AFFORDABLE AND CLEAN ENERGY Logo

1

Research Products

8

DECENT WORK AND ECONOMIC GROWTH
DECENT WORK AND ECONOMIC GROWTH Logo

6

Research Products

4

QUALITY EDUCATION
QUALITY EDUCATION Logo

3

Research Products

12

RESPONSIBLE CONSUMPTION AND PRODUCTION
RESPONSIBLE CONSUMPTION AND PRODUCTION Logo

3

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3

GOOD HEALTH AND WELL-BEING
GOOD HEALTH AND WELL-BEING Logo

5

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13

CLIMATE ACTION
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0

Research Products
Documents

43

Citations

417

h-index

12

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Scholarly Output

116

Articles

43

Views / Downloads

679/10584

Supervised MSc Theses

66

Supervised PhD Theses

3

WoS Citation Count

168

Scopus Citation Count

216

WoS h-index

8

Scopus h-index

9

Patents

0

Projects

0

WoS Citations per Publication

1.45

Scopus Citations per Publication

1.86

Open Access Source

32

Supervised Theses

69

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JournalCount
Üçüncü Sektör Sosyal Ekonomi4
Hacettepe Sağlık İdaresi Dergisi3
Healthcare3
Gazi Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi2
Journal of Social Service Research2
Current Page: 1 / 7

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Scholarly Output Search Results

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  • Review
    Citation - WoS: 2
    Citation - Scopus: 2
    Artificial intelligence's impact on oral healthcare in terms of clinical outcomes: a bibliometric analysis
    (Emerald Group Publishing Ltd, 2024) AlQaifi, Faten; Tengilimoglu, Dilaver; Aras, Ilknur Arslan
    Purpose - This study provides a comprehensive overview of the impact of artificial intelligence (AI) applications on oral healthcare, focusing on clinical outcomes. Design/methodology/approach - A systematic approach was used to gather articles from databases such as Scopus, ScienceDirect, PubMed, Web of Science and Google Scholar from 2010 to 2024. The selection criteria included articles published in English, focusing solely on clinical applications of AI in dentistry. Articles such as conference proceedings, editorial material and personal opinions were excluded. The articles were analyzed and visualized using Rayyan software, Microsoft Excel and VOSviewer. Findings - Results indicate that 120 publications were authored by 58 scholars from 92 institutions across 29 countries, with a notable surge since 2018. This analysis showed the significant emphasis on the use of deep learning, demonstrating its high accuracy and performance in oral healthcare, often exceeding that of dentists. It also proved that even though AI is sometimes seen as an auxiliary tool, many studies revealed that AI has a performance near dental professionals' levels. Findings concluded that the majority of studies indicate that AI is generating better clinical outcomes in oral healthcare. Practical implications - This study provides dental professionals with insights on integrating AI for better diagnosis and treatment. Policymakers and healthcare institutions can use these findings to inform AI adoption and training strategies. Originality/value - It presents novel and valuable findings that can benefit various stakeholders by shedding light on the present scenario and potential future paths of AI integration in oral healthcare, contributing to its overall advancement.