Artificial Intelligence in Head and Neck Cancer: Innovations, Applications, and Future Directions DOI Open Access
Tuan D. Pham, Muy‐Teck Teh,

Domniki Chatzopoulou

и другие.

Опубликована: Авг. 9, 2024

Artificial Intelligence (AI) is revolutionizing head and neck cancer (HNC) care by providing innovative tools that enhance diagnostic accuracy personalize treatment strategies. This review highlights the advancements in AI technologies, including deep learning natural language processing, their applications HNC. The integration of with imaging techniques, genomics, electronic health records explored, emphasizing its role early detection, biomarker discovery, planning. Despite noticeable progress, challenges such as data quality, algorithmic bias, need for interdisciplinary collaboration remain. Emerging innovations like explainable AI, AI-powered robotics, real-time monitoring systems are poised to further advance field. Addressing these fostering among experts, clinicians, researchers crucial developing equitable effective applications. future HNC holds significant promise, offering potential breakthroughs diagnostics, personalized therapies, improved patient outcomes.

Язык: Английский

Artificial Intelligence in Head and Neck Cancer: Innovations, Applications, and Future Directions DOI Creative Commons
Tuan D. Pham, Muy‐Teck Teh,

Domniki Chatzopoulou

и другие.

Current Oncology, Год журнала: 2024, Номер 31(9), С. 5255 - 5290

Опубликована: Сен. 6, 2024

Artificial intelligence (AI) is revolutionizing head and neck cancer (HNC) care by providing innovative tools that enhance diagnostic accuracy personalize treatment strategies. This review highlights the advancements in AI technologies, including deep learning natural language processing, their applications HNC. The integration of with imaging techniques, genomics, electronic health records explored, emphasizing its role early detection, biomarker discovery, planning. Despite noticeable progress, challenges such as data quality, algorithmic bias, need for interdisciplinary collaboration remain. Emerging innovations like explainable AI, AI-powered robotics, real-time monitoring systems are poised to further advance field. Addressing these fostering among experts, clinicians, researchers crucial developing equitable effective applications. future HNC holds significant promise, offering potential breakthroughs diagnostics, personalized therapies, improved patient outcomes.

Язык: Английский

Процитировано

12

A Roadmap for the Rational Use of Biomarkers in Oral Disease Screening DOI Creative Commons
Nicola Cirillo

Biomolecules, Год журнала: 2024, Номер 14(7), С. 787 - 787

Опубликована: Июль 1, 2024

Oral health has witnessed a significant transformation with the integration of biomarkers in early-diagnostic processes. This article briefly reviews types used screening and early detection oral diseases, particularly cancer, periodontal dental caries, an emphasis on molecular biomarkers. While advent these may represent leap forward healthcare, it also opens door to potential overtesting, overdiagnosis, overtreatment. To inform selection novel ensure their rational use tests, is imperative consider some key characteristics, which are specific biomarker (e.g., surrogate should reliably reflect primary outcome), test sensitivity specificity must be balanced based disease interest), efficacy treatment improve when condition diagnosed earlier). For systemic conditions associated researchers extremely cautious determining who “at risk”, such risk small, non-existent, or inconsequent. framework aims that advancements diagnostics translate into genuine improvements patient care well-being.

Язык: Английский

Процитировано

7

Oral Potentially Malignant Disorders DOI
Omar Kujan

Dental Clinics of North America, Год журнала: 2025, Номер unknown

Опубликована: Апрель 1, 2025

Язык: Английский

Процитировано

1

Deep Learning in Oncology: Transforming Cancer Diagnosis, Prognosis, and Treatment DOI Creative Commons
Thaís Santos Anjo Reis

Emerging Trends in Drugs Addictions and Health, Год журнала: 2025, Номер unknown, С. 100171 - 100171

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

0

Deep learning with data transformation improves cancer risk prediction in oral precancerous conditions DOI Creative Commons
John Adeoye, Yu‐Xiong Su

Intelligent Medicine, Год журнала: 2025, Номер unknown

Опубликована: Март 1, 2025

Язык: Английский

Процитировано

0

Artificial Intelligence in Head and Neck Cancer: Innovations, Applications, and Future Directions DOI Open Access
Tuan D. Pham, Muy‐Teck Teh,

Domniki Chatzopoulou

и другие.

Опубликована: Авг. 9, 2024

Artificial Intelligence (AI) is revolutionizing head and neck cancer (HNC) care by providing innovative tools that enhance diagnostic accuracy personalize treatment strategies. This review highlights the advancements in AI technologies, including deep learning natural language processing, their applications HNC. The integration of with imaging techniques, genomics, electronic health records explored, emphasizing its role early detection, biomarker discovery, planning. Despite noticeable progress, challenges such as data quality, algorithmic bias, need for interdisciplinary collaboration remain. Emerging innovations like explainable AI, AI-powered robotics, real-time monitoring systems are poised to further advance field. Addressing these fostering among experts, clinicians, researchers crucial developing equitable effective applications. future HNC holds significant promise, offering potential breakthroughs diagnostics, personalized therapies, improved patient outcomes.

Язык: Английский

Процитировано

0