Artificial Intelligence in Dentistry: A Descriptive Review
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 heal...
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| Format: | Article |
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MDPI AG
2024-12-01
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| Series: | Bioengineering |
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| Online Access: | https://www.mdpi.com/2306-5354/11/12/1267 |
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| author | Sreekanth Kumar Mallineni Mallika Sethi Dedeepya Punugoti Sunil Babu Kotha Zikra Alkhayal Sarah Mubaraki Fatmah Nasser Almotawah Sree Lalita Kotha Rishitha Sajja Venkatesh Nettam Amar Ashok Thakare Srinivasulu Sakhamuri |
| author_facet | Sreekanth Kumar Mallineni Mallika Sethi Dedeepya Punugoti Sunil Babu Kotha Zikra Alkhayal Sarah Mubaraki Fatmah Nasser Almotawah Sree Lalita Kotha Rishitha Sajja Venkatesh Nettam Amar Ashok Thakare Srinivasulu Sakhamuri |
| author_sort | Sreekanth Kumar Mallineni |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-f9753fb6df1b4a0ebf8a2389a6f1544d |
| institution | DOAJ |
| issn | 2306-5354 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Bioengineering |
| spelling | doaj-art-f9753fb6df1b4a0ebf8a2389a6f1544d2025-08-20T02:56:05ZengMDPI AGBioengineering2306-53542024-12-011112126710.3390/bioengineering11121267Artificial Intelligence in Dentistry: A Descriptive ReviewSreekanth Kumar Mallineni0Mallika Sethi1Dedeepya Punugoti2Sunil Babu Kotha3Zikra Alkhayal4Sarah Mubaraki5Fatmah Nasser Almotawah6Sree Lalita Kotha7Rishitha Sajja8Venkatesh Nettam9Amar Ashok Thakare10Srinivasulu Sakhamuri11Pediatric Dentistry, Dr. Sulaiman Alhabib Medical Group, Rayyan, Riyadh 14212, Saudi ArabiaDepartment of Periodontics, Inderprastha Dental College and Hospital, Ghaziabad 201010, Uttar Pradesh, IndiaPediatric Dentistry, Sri Vydya Dental Hospital, Ongole 52300, Andhra Pradesh, IndiaPreventive Dentistry Department, Pediatric Dentistry Division, College of Dentistry, Riyadh Elm University, Riyadh 13244, Saudi ArabiaTherapeutics & Biomarker Discovery for Clinical Applications, Cell Therapy & Immunobiology Department, King Faisal Specialist Hospital & Research Centre, P.O. Box 3354, Riyadh 11211, Saudi ArabiaPreventive Dentistry Department, Pediatric Dentistry Division, College of Dentistry, Riyadh Elm University, Riyadh 13244, Saudi ArabiaPreventive Dentistry Department, Pediatric Dentistry Division, College of Dentistry, Riyadh Elm University, Riyadh 13244, Saudi ArabiaDepartment of Basic Dental Sciences, College of Dentistry, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi ArabiaClinical Data Management, Global Data Management and Centralized Monitoring, Global Development Operations, Bristol Myers Squibb, Pennington, NJ 07922, USADepartment of Orthodontics, Narayana Dental College and Hospital, Nellore 523004, Andhra Pradesh, IndiaDepartment of Restorative Dentistry and Prosthodontics, College of Dentistry, Majmaah University, Al-Zulfi 11952, Saudi ArabiaDepartment of Conservative Dentistry & Endodontics, Narayana Dental College and Hospital, Nellore 523004, Andhra Pradesh, IndiaArtificial 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.https://www.mdpi.com/2306-5354/11/12/1267artificial intelligencedentistrydental cariesoral health |
| spellingShingle | Sreekanth Kumar Mallineni Mallika Sethi Dedeepya Punugoti Sunil Babu Kotha Zikra Alkhayal Sarah Mubaraki Fatmah Nasser Almotawah Sree Lalita Kotha Rishitha Sajja Venkatesh Nettam Amar Ashok Thakare Srinivasulu Sakhamuri Artificial Intelligence in Dentistry: A Descriptive Review Bioengineering artificial intelligence dentistry dental caries oral health |
| title | Artificial Intelligence in Dentistry: A Descriptive Review |
| title_full | Artificial Intelligence in Dentistry: A Descriptive Review |
| title_fullStr | Artificial Intelligence in Dentistry: A Descriptive Review |
| title_full_unstemmed | Artificial Intelligence in Dentistry: A Descriptive Review |
| title_short | Artificial Intelligence in Dentistry: A Descriptive Review |
| title_sort | artificial intelligence in dentistry a descriptive review |
| topic | artificial intelligence dentistry dental caries oral health |
| url | https://www.mdpi.com/2306-5354/11/12/1267 |
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