Leveraging advanced technologies for early detection and diagnosis of oral cancer: Warning alarm

Oral cancer as a global health problem becomes more difficult to deal with, especially since developing countries are the hardest hit due to massive rates of mortality and morbidity. Detecting cancer in the early stage and providing an accurate diagnosis is important in improving the outcomes and ca...

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Main Authors: Saantosh Saravanan, N. Aravindha Babu, Lakshmi T, Mukesh Kumar Dharmalingam Jothinathan
Format: Article
Language:English
Published: Elsevier 2024-06-01
Series:Oral Oncology Reports
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Online Access:http://www.sciencedirect.com/science/article/pii/S2772906024001067
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author Saantosh Saravanan
N. Aravindha Babu
Lakshmi T
Mukesh Kumar Dharmalingam Jothinathan
author_facet Saantosh Saravanan
N. Aravindha Babu
Lakshmi T
Mukesh Kumar Dharmalingam Jothinathan
author_sort Saantosh Saravanan
collection DOAJ
description Oral cancer as a global health problem becomes more difficult to deal with, especially since developing countries are the hardest hit due to massive rates of mortality and morbidity. Detecting cancer in the early stage and providing an accurate diagnosis is important in improving the outcomes and causing less damage to the patients. The medical technology, particularly in the areas of deep learning, optimization algorithms, and imaging techniques, has begun a new paradigm in oral cancer diagnosing and detecting methodologies. Specialized algorithms such as the Recombination-Based Improved Population Optimization Parallel Covariance Matrix Adaptation Evolution Strategy (RB-IPOP CMA-ES) allow for better accuracy of deep learning models, as this enhances the performance of developing models for early diagnosis of oral cancer. A faithful system of devices with accessible point-of-care screening mechanisms, deployed with neural network classification mechanisms, might become a competitive assurance, especially in resource-deficient areas. For example, skills including Recursive Mean-Separate Histogram Equalization (RMSHE) come in handy in enhancing the resolution of the images and clarity which eventually leads to more accurate lesion identification. Trial-and-error type of survival prediction models, for instance, DeepSurv, offer superior results to conventional approaches and give medical experts the possibility to develop individualized treatment methods. Nevertheless, some obstacles compress the path of implementation. Through the synergy of scientists, clinicians, and policymakers, complexities in the utilization of high-tech solutions to the global effort in oral cancer can be eliminated and access can be paved to better health treatments worldwide.
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spelling doaj-art-ebddad4cecb245a9bc74aab1704d92462025-01-09T06:15:33ZengElsevierOral Oncology Reports2772-90602024-06-0110100260Leveraging advanced technologies for early detection and diagnosis of oral cancer: Warning alarmSaantosh Saravanan0N. Aravindha Babu1Lakshmi T2Mukesh Kumar Dharmalingam Jothinathan3Centre for Global Health Research, Saveetha Medical College and Hospitals, Saveetha Institute of Medical and Technical Sciences (SIMATS), Saveetha University, Chennai, IndiaDepartment of Oral Pathology and Microbiology, Sree Balaji Dental College and Hospital, Bharath Institute of Higher Education and Research (BIHER), Bharath University, Chennai, Tamil Nadu, IndiaCentre for Global Health Research, Saveetha Medical College and Hospitals, Saveetha Institute of Medical and Technical Sciences (SIMATS), Saveetha University, Chennai, IndiaCorresponding author.; Centre for Global Health Research, Saveetha Medical College and Hospitals, Saveetha Institute of Medical and Technical Sciences (SIMATS), Saveetha University, Chennai, IndiaOral cancer as a global health problem becomes more difficult to deal with, especially since developing countries are the hardest hit due to massive rates of mortality and morbidity. Detecting cancer in the early stage and providing an accurate diagnosis is important in improving the outcomes and causing less damage to the patients. The medical technology, particularly in the areas of deep learning, optimization algorithms, and imaging techniques, has begun a new paradigm in oral cancer diagnosing and detecting methodologies. Specialized algorithms such as the Recombination-Based Improved Population Optimization Parallel Covariance Matrix Adaptation Evolution Strategy (RB-IPOP CMA-ES) allow for better accuracy of deep learning models, as this enhances the performance of developing models for early diagnosis of oral cancer. A faithful system of devices with accessible point-of-care screening mechanisms, deployed with neural network classification mechanisms, might become a competitive assurance, especially in resource-deficient areas. For example, skills including Recursive Mean-Separate Histogram Equalization (RMSHE) come in handy in enhancing the resolution of the images and clarity which eventually leads to more accurate lesion identification. Trial-and-error type of survival prediction models, for instance, DeepSurv, offer superior results to conventional approaches and give medical experts the possibility to develop individualized treatment methods. Nevertheless, some obstacles compress the path of implementation. Through the synergy of scientists, clinicians, and policymakers, complexities in the utilization of high-tech solutions to the global effort in oral cancer can be eliminated and access can be paved to better health treatments worldwide.http://www.sciencedirect.com/science/article/pii/S2772906024001067Oral cancerEarly detectionDeep learningImaging techniquesGlobal health
spellingShingle Saantosh Saravanan
N. Aravindha Babu
Lakshmi T
Mukesh Kumar Dharmalingam Jothinathan
Leveraging advanced technologies for early detection and diagnosis of oral cancer: Warning alarm
Oral Oncology Reports
Oral cancer
Early detection
Deep learning
Imaging techniques
Global health
title Leveraging advanced technologies for early detection and diagnosis of oral cancer: Warning alarm
title_full Leveraging advanced technologies for early detection and diagnosis of oral cancer: Warning alarm
title_fullStr Leveraging advanced technologies for early detection and diagnosis of oral cancer: Warning alarm
title_full_unstemmed Leveraging advanced technologies for early detection and diagnosis of oral cancer: Warning alarm
title_short Leveraging advanced technologies for early detection and diagnosis of oral cancer: Warning alarm
title_sort leveraging advanced technologies for early detection and diagnosis of oral cancer warning alarm
topic Oral cancer
Early detection
Deep learning
Imaging techniques
Global health
url http://www.sciencedirect.com/science/article/pii/S2772906024001067
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AT lakshmit leveragingadvancedtechnologiesforearlydetectionanddiagnosisoforalcancerwarningalarm
AT mukeshkumardharmalingamjothinathan leveragingadvancedtechnologiesforearlydetectionanddiagnosisoforalcancerwarningalarm