Clinical Application of Artificial Intelligence in PET Imaging of Head and Neck Cancer

Gharavi, Seyed Mohammad; Faghihimehr, Armaghan

doi:10.1016/j.cpet.2021.09.004

Cited by 12 publications

(5 citation statements)

References 46 publications

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“…Thanks to their advanced classification, learning, prediction, and detection capabilities, AI algorithms complement human skills while minimizing their imperfections and inaccuracies [ 4 ]. Several of the registered studies reported preference for the use of AI in the detection of head and neck tumors using image data (radiographic, microscopic and ultrasonographic images) [ 2 , 23 , 60 , 104 , 105 ]. The main goal of these papers was to apply a hybrid of feature-selection and machine-learning methods in oral cancer prognosis based on the parameters in correlation with clinicopathologic and genomic markers.…”

Section: Resultsmentioning

confidence: 99%

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Where Is the Artificial Intelligence Applied in Dentistry? Systematic Review and Literature Analysis

et al. 2022

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This literature research had two main objectives. The first objective was to quantify how frequently artificial intelligence (AI) was utilized in dental literature from 2011 until 2021. The second objective was to distinguish the focus of such publications; in particular, dental field and topic. The main inclusion criterium was an original article or review in English focused on dental utilization of AI. All other types of publications or non-dental or non-AI-focused were excluded. The information sources were Web of Science, PubMed, Scopus, and Google Scholar, queried on 19 April 2022. The search string was “artificial intelligence” AND (dental OR dentistry OR tooth OR teeth OR dentofacial OR maxillofacial OR orofacial OR orthodontics OR endodontics OR periodontics OR prosthodontics). Following the removal of duplicates, all remaining publications were returned by searches and were screened by three independent operators to minimize the risk of bias. The analysis of 2011–2021 publications identified 4413 records, from which 1497 were finally selected and calculated according to the year of publication. The results confirmed a historically unprecedented boom in AI dental publications, with an average increase of 21.6% per year over the last decade and a 34.9% increase per year over the last 5 years. In the achievement of the second objective, qualitative assessment of dental AI publications since 2021 identified 1717 records, with 497 papers finally selected. The results of this assessment indicated the relative proportions of focal topics, as follows: radiology 26.36%, orthodontics 18.31%, general scope 17.10%, restorative 12.09%, surgery 11.87% and education 5.63%. The review confirms that the current use of artificial intelligence in dentistry is concentrated mainly around the evaluation of digital diagnostic methods, especially radiology; however, its implementation is expected to gradually penetrate all parts of the profession.

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Section: Resultsmentioning

confidence: 99%

“…The term “artificial intelligence” (AI), defined as computerized synthetic human cognitive function, was first introduced in 1956 at Dartmouth University [ 1 ]. Since then, AI has been exponentially expanding in all fields [ 2 , 3 ]. There were three booms and two cooling periods in its utilization ( Figure 1 ).…”

Section: Introductionmentioning

confidence: 99%

Where Is the Artificial Intelligence Applied in Dentistry? Systematic Review and Literature Analysis

et al. 2022

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“…Opportunities for clinical use of AI in nuclear medicine practice were extensively reviewed recently, including brain imaging ( 45 ), head and neck imaging ( 46 ), lung imaging ( 47 ), cardiac imaging ( 48 , 49 ), vascular imaging ( 49 , 50 ), bone imaging ( 51 ), prostate imaging ( 52 ), and imaging of lymphoma ( 53 ). Neuroendocrine tumors, other cancers (including gastrointestinal, pancreatic, hepatobiliary, sarcoma, and hereditary), infection, and inflammation are some examples of additional areas requiring further consideration.…”

Section: Opportunitiesmentioning

confidence: 99%

Artificial Intelligence in Nuclear Medicine: Opportunities, Challenges, and Responsibilities Toward a Trustworthy Ecosystem

Saboury

Bradshaw

Boellaard³

et al. 2022

J Nucl Med

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“…ML and AI have shown to be useful tools for grading, staging, prognostic evaluation, predicting response to therapy, and deriving information on prognostic endpoints, such as overall survival (OS), through the analysis of radiomic data. A significant and conspicuous source of data being analyzed by these machine learning and deep learning algorithms is imaging (e.g., CT, MRI, and PET images) [4,9].…”

Section: Introductionmentioning

confidence: 99%

The Use of Artificial Intelligence Algorithms in the Prognosis and Detection of Lymph Node Involvement in Head and Neck Cancer and Possible Impact in the Development of Personalized Therapeutic Strategy: A Systematic Review

Michelutti,

Tel,

Zeppieri

et al. 2023

JPM

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Given the increasingly important role that the use of artificial intelligence algorithms is taking on in the medical field today (especially in oncology), the purpose of this systematic review is to analyze the main reports on such algorithms applied for the prognostic evaluation of patients with head and neck malignancies. The objective of this paper is to examine the currently available literature in the field of artificial intelligence applied to head and neck oncology, particularly in the prognostic evaluation of the patient with this kind of tumor, by means of a systematic review. The paper exposes an overview of the applications of artificial intelligence in deriving prognostic information related to the prediction of survival and recurrence and how these data may have a potential impact on the choice of therapeutic strategy, making it increasingly personalized. This systematic review was written following the PRISMA 2020 guidelines.

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Clinical Application of Artificial Intelligence in PET Imaging of Head and Neck Cancer

Cited by 12 publications

References 46 publications

Where Is the Artificial Intelligence Applied in Dentistry? Systematic Review and Literature Analysis

Where Is the Artificial Intelligence Applied in Dentistry? Systematic Review and Literature Analysis

Artificial Intelligence in Nuclear Medicine: Opportunities, Challenges, and Responsibilities Toward a Trustworthy Ecosystem

The Use of Artificial Intelligence Algorithms in the Prognosis and Detection of Lymph Node Involvement in Head and Neck Cancer and Possible Impact in the Development of Personalized Therapeutic Strategy: A Systematic Review

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