Evidence map›Paper›PMID 39768085›Full record

ReviewBioengineering (Basel, Switzerland)2024

Artificial Intelligence in Dentistry: A Descriptive Review.

Sreekanth Kumar Mallineni, Mallika Sethi, Dedeepya Punugoti, Sunil Babu Kotha, Zikra Alkhayal, Sarah Mubaraki, Fatmah Nasser Almotawah, Sree Lalita Kotha, Rishitha Sajja, Venkatesh Nettam and 2 more

Abstract readReview
In one paragraph

Review in Bioengineering (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

29 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Artificial Intelligence for Working Length Determination in Endodontics: A Systematic Review and Meta-Analysis.Australian endodontic journal : the journal of the Australian Society of Endodontology Inc · 2026
    Pooled it
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  8. [Current applications and future perspectives of automation technologies and devices in oral diagnosis and treatment].Hua xi kou qiang yi xue za zhi = Huaxi kouqiang yixue zazhi = West China journal of stomatology · 2026
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  20. Smartphone-Based Anemia ScreeningCurrent medical imaging · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Sreekanth Kumar MallineniPediatric Dentistry, Dr. Sulaiman Alhabib Medical Group, Rayyan, Riyadh 14212, Saudi Arabia.ORCID 0000-0002-9432-2590
Mallika SethiDepartment of Periodontics, Inderprastha Dental College and Hospital, Ghaziabad 201010, Uttar Pradesh, India.
Dedeepya PunugotiPediatric Dentistry, Sri Vydya Dental Hospital, Ongole 52300, Andhra Pradesh, India.
Sunil Babu KothaPreventive Dentistry Department, Pediatric Dentistry Division, College of Dentistry, Riyadh Elm University, Riyadh 13244, Saudi Arabia.ORCID 0000-0001-5561-6206
Zikra AlkhayalTherapeutics & Biomarker Discovery for Clinical Applications, Cell Therapy & Immunobiology Department, King Faisal Specialist Hospital & Research Centre, P.O. Box 3354, Riyadh 11211, Saudi Arabia.
Sarah MubarakiPreventive Dentistry Department, Pediatric Dentistry Division, College of Dentistry, Riyadh Elm University, Riyadh 13244, Saudi Arabia.ORCID 0000-0003-3044-6794
Fatmah Nasser AlmotawahPreventive Dentistry Department, Pediatric Dentistry Division, College of Dentistry, Riyadh Elm University, Riyadh 13244, Saudi Arabia.
Sree Lalita KothaDepartment of Basic Dental Sciences, College of Dentistry, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia.ORCID 0000-0001-5764-8308
Rishitha SajjaClinical Data Management, Global Data Management and Centralized Monitoring, Global Development Operations, Bristol Myers Squibb, Pennington, NJ 07922, USA.ORCID 0000-0003-1501-5726
Venkatesh NettamDepartment of Orthodontics, Narayana Dental College and Hospital, Nellore 523004, Andhra Pradesh, India.
Amar Ashok ThakareDepartment of Restorative Dentistry and Prosthodontics, College of Dentistry, Majmaah University, Al-Zulfi 11952, Saudi Arabia.
Srinivasulu SakhamuriDepartment of Conservative Dentistry & Endodontics, Narayana Dental College and Hospital, Nellore 523004, Andhra Pradesh, India.ORCID 0000-0001-8615-3312

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Artificial intelligence (AI) is an area of computer science that focuses on designing machines or systems that can perform operations that would typically need human intelligence. AI is a rapidly developing technology that has grabbed the interest of researchers from all across the globe in the healthcare industry. Advancements in machine learning and data analysis have revolutionized oral health diagnosis, treatment, and management, making it a transformative force in healthcare, particularly in dentistry. Particularly in dentistry, AI is becoming increasingly prevalent as it contributes to the diagnosis of oro-facial diseases, offers treatment modalities, and manages practice in the dental operatory. All dental disciplines, including oral medicine, operative dentistry, pediatric dentistry, periodontology, orthodontics, oral and maxillofacial surgery, prosthodontics, and forensic odontology, have adopted AI. The majority of AI applications in dentistry are for diagnoses based on radiographic or optical images, while other tasks are less applicable due to constraints such as data availability, uniformity, and computational power. Evidence-based dentistry is considered the gold standard for decision making by dental professionals, while AI machine learning models learn from human expertise. Dentistry AI and technology systems can provide numerous benefits, such as improved diagnosis accuracy and increased administrative task efficiency. Dental practices are already implementing various AI applications, such as imaging and diagnosis, treatment planning, robotics and automation, augmented and virtual reality, data analysis and predictive analytics, and administrative support. The dentistry field has extensively used artificial intelligence to assist less-skilled practitioners in reaching a more precise diagnosis. These AI models effectively recognize and classify patients with various oro-facial problems into different risk categories, both individually and on a group basis. The objective of this descriptive review is to review the most recent developments of AI in the field of dentistry.

Indexed as

artificial intelligencedental cariesdentistryoral health

Identifiers

PMID39768085
PMCPMC11673909

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.