Literature DB >> 20949757

Artificial intelligence: contemporary applications and future compass.

Sunali Khanna1.   

Abstract

The clinical use of information technology in the dental profession has increased substantially in the past 10 to 20 years. In most developing countries an insufficiency of medical and dental specialists has increased the mortality of patients suffering from various diseases. Employing technology, especially artificial intelligence technology, in medical and dental application could reduce cost, time, human expertise and medical error. This approach has the potential to revolutionise the dental public health scenario in developing countries. Clinical decision support systems (CDSS) are computer programs that are designed to provide expert support for health professionals. The applications in dental sciences vary from dental emergencies to differential diagnosis of orofacial pain, radiographic interpretations, analysis of facial growth in orthodontia to prosthetic dentistry. However, despite the recognised need for CDSS, the implementation of these systems has been limited and slow. This can be attributed to lack of formal evaluation of the systems, challenges in developing standard representations, cost and practitioner scepticism about the value and feasibility of CDSS. Increasing public awareness of safety and quality has accelerated the adoption of generic knowledge based CDSS. Information technology applications for dental practice continue to develop rapidly and will hopefully contribute to reduce the morbidity and mortality of oral and maxillofacial diseases and in turn impact patient care.

Entities:  

Mesh:

Year:  2010        PMID: 20949757

Source DB:  PubMed          Journal:  Int Dent J        ISSN: 0020-6539            Impact factor:   2.512


  6 in total

1.  A novel mathematical approach to diagnose premenstrual syndrome.

Authors:  Subhagata Chattopadhyay; U Rajendra Acharya
Journal:  J Med Syst       Date:  2011-04-05       Impact factor: 4.460

2.  Cephalometric Variables Prediction from Lateral Photographs Between Different Skeletal Patterns Using Regression Artificial Neural Networks.

Authors:  Saif Mauwafak Ali; Hayder Fadhil Saloom; Mohammed Ali Tawfeeq
Journal:  Turk J Orthod       Date:  2022-06

Review 3.  Developments, application, and performance of artificial intelligence in dentistry - A systematic review.

Authors:  Sanjeev B Khanagar; Ali Al-Ehaideb; Prabhadevi C Maganur; Satish Vishwanathaiah; Shankargouda Patil; Hosam A Baeshen; Sachin C Sarode; Shilpa Bhandi
Journal:  J Dent Sci       Date:  2020-06-30       Impact factor: 2.080

Review 4.  Current state of dental informatics in the field of health information systems: a scoping review.

Authors:  Ballester Benoit; Bukiet Frédéric; Dufour Jean-Charles
Journal:  BMC Oral Health       Date:  2022-04-19       Impact factor: 3.747

Review 5.  Ethics of Artificial Intelligence in Medicine and Ophthalmology.

Authors:  Yasser Ibraheem Abdullah; Joel S Schuman; Ridwan Shabsigh; Arthur Caplan; Lama A Al-Aswad
Journal:  Asia Pac J Ophthalmol (Phila)       Date:  2021 May-Jun 01

Review 6.  History and application of artificial neural networks in dentistry.

Authors:  Wook Joo Park; Jun-Beom Park
Journal:  Eur J Dent       Date:  2018 Oct-Dec
  6 in total

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