AI illuminates paths in oral cancer
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 healthca...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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IfADo - Leibniz Research Centre for Working Environment and Human Factors, Dortmund
2024-09-01
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| Series: | EXCLI Journal : Experimental and Clinical Sciences |
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| Online Access: | https://www.excli.de/excli/article/view/7253 |
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| author | Devesh U. Kapoor Pushpendra Kumar Saini Narendra Sharma Ankul Singh Bhupendra G. Prajapati Gehan M. Elossaily Summya Rashid |
| author_facet | Devesh U. Kapoor Pushpendra Kumar Saini Narendra Sharma Ankul Singh Bhupendra G. Prajapati Gehan M. Elossaily Summya Rashid |
| author_sort | Devesh U. Kapoor |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-91f46bb09ab74e8ab2bde4652b6b2afc |
| institution | Kabale University |
| issn | 1611-2156 |
| language | English |
| publishDate | 2024-09-01 |
| publisher | IfADo - Leibniz Research Centre for Working Environment and Human Factors, Dortmund |
| record_format | Article |
| series | EXCLI Journal : Experimental and Clinical Sciences |
| spelling | doaj-art-91f46bb09ab74e8ab2bde4652b6b2afc2024-12-02T09:48:24ZengIfADo - Leibniz Research Centre for Working Environment and Human Factors, DortmundEXCLI Journal : Experimental and Clinical Sciences1611-21562024-09-01231091111610.17179/excli2024-72536692AI illuminates paths in oral cancerDevesh U. Kapoor0https://orcid.org/0000-0003-4085-8936Pushpendra Kumar Saini1https://orcid.org/0009-0007-3127-365XNarendra Sharma2https://orcid.org/0009-0001-8159-0668Ankul Singh3https://orcid.org/0000-0001-7927-0983Bhupendra G. Prajapati4https://orcid.org/0000-0001-8242-4541Gehan M. Elossaily5https://orcid.org/0000-0003-3485-076XSummya Rashid6https://orcid.org/0000-0002-7692-6059Dr. Dayaram Patel Pharmacy College, Bardoli-394601, Gujarat, IndiaDepartment of Pharmaceutics, Sri Balaji College of Pharmacy, Jaipur, Rajasthan-302013, IndiaDepartment of Pharmaceutics, Sri Balaji College of Pharmacy, Jaipur, Rajasthan-302013, IndiaFaculty of Pharmacy, Department of Pharmacology, Dr MGR Educational and Research Institute, Velapanchavadi, Chennai-77, Tamil Nadu, IndiaShree S. K. Patel College of Pharmaceutical Education and Research, Ganpat University, Kherva-384012, Gujarat, India. E-mail: bhupen27@gmail.comDepartment of Basic Medical Sciences, College of Medicine, AlMaarefa University, P.O. Box 71666, Riyadh, 11597, Saudi ArabiaDepartment of Pharmacology & Toxicology, College of Pharmacy, Prince Sattam Bin Abdulaziz University, P.O. Box 173, Al-Kharj 11942, Saudi Arabia, E-mail: s.abdulrashid@psau.edu.saOral 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.https://www.excli.de/excli/article/view/7253oral squamous cell carcinomamachine learningconvolutional neural networkcomputed tomography |
| spellingShingle | Devesh U. Kapoor Pushpendra Kumar Saini Narendra Sharma Ankul Singh Bhupendra G. Prajapati Gehan M. Elossaily Summya Rashid AI illuminates paths in oral cancer EXCLI Journal : Experimental and Clinical Sciences oral squamous cell carcinoma machine learning convolutional neural network computed tomography |
| title | AI illuminates paths in oral cancer |
| title_full | AI illuminates paths in oral cancer |
| title_fullStr | AI illuminates paths in oral cancer |
| title_full_unstemmed | AI illuminates paths in oral cancer |
| title_short | AI illuminates paths in oral cancer |
| title_sort | ai illuminates paths in oral cancer |
| topic | oral squamous cell carcinoma machine learning convolutional neural network computed tomography |
| url | https://www.excli.de/excli/article/view/7253 |
| work_keys_str_mv | AT deveshukapoor aiilluminatespathsinoralcancer AT pushpendrakumarsaini aiilluminatespathsinoralcancer AT narendrasharma aiilluminatespathsinoralcancer AT ankulsingh aiilluminatespathsinoralcancer AT bhupendragprajapati aiilluminatespathsinoralcancer AT gehanmelossaily aiilluminatespathsinoralcancer AT summyarashid aiilluminatespathsinoralcancer |