AI ILLUMINATES PATHS IN ORAL CANCER: TRANSFORMATIVE INSIGHTS, DIAGNOSTIC PRECISION, AND PERSONALIZED STRATEGIES

Devesh U. Kapoor; Pushpendra Kumar Saini; Narendra Sharma; Singh S. Ankul; Bhupendra G. Prajapati; Gehan M. Elossaily; Summya Rashid

doi:10.17179/excli2024-7253

AI ILLUMINATES PATHS IN ORAL CANCER: TRANSFORMATIVE INSIGHTS, DIAGNOSTIC PRECISION, AND PERSONALIZED STRATEGIES

Devesh U. Kapoor, Pushpendra Kumar Saini, Narendra Sharma, Singh S. Ankul, Bhupendra G. Prajapati, Gehan M. Elossaily, Summya Rashid

Pharmacology

Research output: Contribution to journal › Review article › peer-review

5 Scopus citations

Abstract

Oral cancer retains one of the lowest survival rates worldwide, despite recent therapeutic advancements signifying a tenacious challenge in healthcare. Artificial intelligence exhibits noteworthy potential in escalating diagnostic and treatment procedures, offering promising advancements in healthcare. This review entails the traditional imaging techniques for the oral cancer treatment. The role of artificial intelligence in prognosis of oral cancer including predictive modeling, identification of prognostic factors and risk stratification also discussed significantly in this review. The review also encompasses the utilization of artificial intelligence such as automated image analysis, computer-aided detection and diagnosis integration of machine learning algorithms for oral cancer diagnosis and treatment. The customizing treatment approaches for oral cancer through artificial intelligence based personalized medicine is also part of this review.

Original language	English
Pages (from-to)	1091-1116
Number of pages	26
Journal	EXCLI Journal
Volume	23
DOIs	https://doi.org/10.17179/excli2024-7253
State	Published - 3 Jan 2024

Keywords

computed tomogra-phy
convolutional neural network
machine learning
Oral squamous cell carcinoma
predictive modeling

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.17179/excli2024-7253

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title = "AI ILLUMINATES PATHS IN ORAL CANCER: TRANSFORMATIVE INSIGHTS, DIAGNOSTIC PRECISION, AND PERSONALIZED STRATEGIES",

abstract = "Oral cancer retains one of the lowest survival rates worldwide, despite recent therapeutic advancements signifying a tenacious challenge in healthcare. Artificial intelligence exhibits noteworthy potential in escalating diagnostic and treatment procedures, offering promising advancements in healthcare. This review entails the traditional imaging techniques for the oral cancer treatment. The role of artificial intelligence in prognosis of oral cancer including predictive modeling, identification of prognostic factors and risk stratification also discussed significantly in this review. The review also encompasses the utilization of artificial intelligence such as automated image analysis, computer-aided detection and diagnosis integration of machine learning algorithms for oral cancer diagnosis and treatment. The customizing treatment approaches for oral cancer through artificial intelligence based personalized medicine is also part of this review.",

keywords = "computed tomogra-phy, convolutional neural network, machine learning, Oral squamous cell carcinoma, predictive modeling",

author = "Kapoor, \{Devesh U.\} and Saini, \{Pushpendra Kumar\} and Narendra Sharma and Ankul, \{Singh S.\} and Prajapati, \{Bhupendra G.\} and Elossaily, \{Gehan M.\} and Summya Rashid",

year = "2024",

month = jan,

day = "3",

doi = "10.17179/excli2024-7253",

language = "English",

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journal = "EXCLI Journal",

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T2 - TRANSFORMATIVE INSIGHTS, DIAGNOSTIC PRECISION, AND PERSONALIZED STRATEGIES

AU - Kapoor, Devesh U.

AU - Saini, Pushpendra Kumar

AU - Sharma, Narendra

AU - Ankul, Singh S.

AU - Prajapati, Bhupendra G.

AU - Elossaily, Gehan M.

AU - Rashid, Summya

PY - 2024/1/3

Y1 - 2024/1/3

N2 - Oral cancer retains one of the lowest survival rates worldwide, despite recent therapeutic advancements signifying a tenacious challenge in healthcare. Artificial intelligence exhibits noteworthy potential in escalating diagnostic and treatment procedures, offering promising advancements in healthcare. This review entails the traditional imaging techniques for the oral cancer treatment. The role of artificial intelligence in prognosis of oral cancer including predictive modeling, identification of prognostic factors and risk stratification also discussed significantly in this review. The review also encompasses the utilization of artificial intelligence such as automated image analysis, computer-aided detection and diagnosis integration of machine learning algorithms for oral cancer diagnosis and treatment. The customizing treatment approaches for oral cancer through artificial intelligence based personalized medicine is also part of this review.

AB - Oral cancer retains one of the lowest survival rates worldwide, despite recent therapeutic advancements signifying a tenacious challenge in healthcare. Artificial intelligence exhibits noteworthy potential in escalating diagnostic and treatment procedures, offering promising advancements in healthcare. This review entails the traditional imaging techniques for the oral cancer treatment. The role of artificial intelligence in prognosis of oral cancer including predictive modeling, identification of prognostic factors and risk stratification also discussed significantly in this review. The review also encompasses the utilization of artificial intelligence such as automated image analysis, computer-aided detection and diagnosis integration of machine learning algorithms for oral cancer diagnosis and treatment. The customizing treatment approaches for oral cancer through artificial intelligence based personalized medicine is also part of this review.

KW - computed tomogra-phy

KW - convolutional neural network

KW - machine learning

KW - Oral squamous cell carcinoma

KW - predictive modeling

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U2 - 10.17179/excli2024-7253

DO - 10.17179/excli2024-7253

M3 - Review article

AN - SCOPUS:85203684016

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VL - 23

SP - 1091

EP - 1116

JO - EXCLI Journal

JF - EXCLI Journal

ER -

AI ILLUMINATES PATHS IN ORAL CANCER: TRANSFORMATIVE INSIGHTS, DIAGNOSTIC PRECISION, AND PERSONALIZED STRATEGIES

Abstract

Keywords

UN SDGs

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