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Call for Papers - Artificial Intelligence: Applications in Dentistry

Guest Editors:
Prabhat Kumar Chaudhari: All India Institute of Medical Sciences, India
Kunaal Dhingra: All India Institute of Medical Sciences, India
Raša Mladenović: University of Kragujevac, Serbia
Sergio Uribe: Riga Stradins University, Latvia/ Austral University of Chile, Chile

Submission Status: Open   |   Submission Deadline: 30 June 2023


The Editors of BMC Oral Health welcome submissions to our Collection Artificial Intelligence: Applications in Dentistry. The applications of AI in dental sciences vary from dental emergencies to the differential diagnosis of orofacial pain, dental caries, and periodontal diseases, radiographic interpretations, and analysis of facial growth. However, despite the recognized need for artificial intelligence, implementing these systems has been minimal and slow. In this special Collection, we welcome papers related to the possible applications of AI in dental diagnosis and treatment.

Meet the Guest Editors

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Prabhat Kumar Chaudhari: All India Institute of Medical Sciences, India

Dr Prabhat Kumar Chaudhari, MDS, MFDS RCPS (Glasg), MFDS RCS (Eng), MDTFEd, MAMS, is an Associate Professor at the Division of Orthodontics and Dentofacial Deformities, Centre for Dental Education and Research, All India Institute of Medical Sciences, New Delhi, India. His main research interests focus on Artificial Intelligence applications in dentistry, 3D imaging, and 3D printing for dental and craniofacial medicine. Dr Chaudhari is a member of the prestigious International Telecommunication Union/WHO Focus Group on “Artificial Intelligence for Health” (FG-AI4H). 

Kunaal Dhingra: All India Institute of Medical Sciences, India

Dr Kunaal Dhingra, MDS, MFDS RCPS (Glasg), MFDS RCS (Eng), MDTFEd, MAMS, is an Associate Professor at the Division of Periodontics, Centre for Dental Education and Research, All India Institute of Medical Sciences, New Delhi, India. His research interests include clinical trials, systematic reviews, and microsurgery, including developing Artificial Intelligence-based periodontal clinical studies. Dr Dhingra is committed to exploring the applications of artificial intelligence and digital technology in Dentistry and training future generations of clinicians in these areas through education and research. He is a member of the prestigious International Telecommunication Union/WHO Focus Group on “Artificial Intelligence for Health” (FG-AI4H).

Raša Mladenović: University of Kragujevac, Serbia

Dr Raša Mladenović is an Assistant Professor at the University of Kragujevac, Serbia. Rasa specializes in Paediatric Dentistry and has dedicated a good part of his research to digital dentistry. Dr Mladenović works on projects developing technology-enhanced teaching methods in dental education. He is experienced in the programming of dedicated applications and educational promoting materials in the field of oral health and education. Dr Mladenović is also a member of the BMC Oral Health Editorial Board.

Sergio Uribe: Riga Stradins University, Latvia / Austral University of Chile, Chile

Dr Sergio Uribe (Ph.D., MSc, DDS) is an Associate Professor and Principal Investigator within the Department of Conservative Dentistry and Oral Health and the Bioinformatics Lab at Riga Stradins University and the Baltic Biomaterials Centre of Excellence (BBCE),  Latvia. Sergio is also an Associate Professor at the Austral University of Chile. In addition, he is contributing to the ITU/WHO Focus Group on Artificial Intelligence for Health (AI4H) as the Leading Research in the Cariology section of the “Dental diagnostics and digital dentistry” focus group.. Sergio completed his Ph.D. in Biomedical Sciences at the Austral University of Chile in 2016, after specialising as a maxillofacial radiologist in 2005 and receiving his DDS from the University of Valparaíso, Chile in 2000. 


About the collection

Artificial intelligence (AI) is the theory and development of computer systems that perform tasks typically requiring human intelligence, such as visual perception, speech recognition, decision-making, and translation between languages. The human brain's visual cortex architecture inspires Deep Learning (DL). Hence DL produces artificial neural networks that can learn by themselves. These networks can deal with minor nuances and become faster and more precise the more data they analyse. Even in the primitive stage of its development, AI, for the last two to three decades, has drawn the attention of brilliant minds from both technical and clinical corners of the scientific community, thus making rapid strides. In most developing countries, the insufficiency of medical and dental specialists has increased the mortality of patients suffering from various diseases. In medical and dental applications, employing technology, especially artificial intelligence technology, could reduce cost, time, human expertise, and medical error. This approach can potentially revolutionise the dental public health scenario in developing countries. Clinical decision support systems and dental monitoring are computer programs that provide expert support for health professionals. The applications of AI in dental sciences vary from dental emergencies to the differential diagnosis of orofacial pain, dental caries, and periodontal diseases, radiographic interpretations, and analysis of facial growth. However, despite the recognized need for artificial intelligence, implementing these systems has been minimal and slow. In this special Collection, we welcome papers related to the possible applications of AI in dental diagnosis and treatment. BMC Oral Health has launched this Collection to bring together research on:

  • AI and machine learning in dentistry
  • Application of AI in the diagnosis of dental diseases. 
  • Application of AI in the treatment planning of dental diseases. 
  • Developing new algorithms, technologies, and systems related to AI applications in dentistry.
  • Applications of AI in basic, clinical, and translational dental research.
  • Applications of AI in the diagnosis, treatment planning, treatment, and growth assessment of craniofacial deformities.
  • Ethical issues concerning AI research in dentistry.

Image Credits: IoT World Today

There are currently no articles in this collection.

Submission Guidelines

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This Collection welcomes submission of Research Articles. Before submitting your manuscript, please ensure you have read our submission guidelines. Articles for this Collection should be submitted via our submission system, SNAPP. During the submission process you will be asked whether you are submitting to a Collection, please select "Artificial Intelligence: Applications in Dentistry" from the dropdown menu.

Articles will undergo the journal’s standard peer-review process  and are subject to all of the journal’s standard policies. Articles will be added to the Collection as they are published.

The Guest Editors have no competing interests with the submissions which they handle through the peer review process. The peer review of any submissions for which the Guest Editors have competing interests is handled by another Editorial Board Member who has no competing interests.