Automated system for diagnosing endometrial cancer by adopting deep-learning technology in hysteroscopy

Y Takahashi, K Sone, K Noda, K Yoshida, Y Toyohara… - PLoS …, 2021 - journals.plos.org
Endometrial cancer is a ubiquitous gynecological disease with increasing global incidence.
Therefore, despite the lack of an established screening technique to date, early diagnosis of …

Computer-aided detection-assisted colonoscopy: classification and relevance of false positives

C Hassan, M Badalamenti, R Maselli, L Correale… - Gastrointestinal …, 2020 - Elsevier
Background and Aims False positive (FP) results by computer-aided detection (CADe)
hamper the efficiency of colonoscopy by extending examination time. Our aim was to …

[HTML][HTML] Development and validation of artificial neural networks model for detection of Barrett's neoplasia: a multicenter pragmatic nonrandomized trial (with video)

M Abdelrahim, M Saiko, N Maeda, E Hossain… - Gastrointestinal …, 2023 - Elsevier
Background and aims The aim of this study was to develop and externally validate a
computer-aided detection (CAD) system for the detection and localization of Barrett's …

Current status and future perspectives of artificial intelligence in colonoscopy

Y Kamitani, K Nonaka, H Isomoto - Journal of clinical medicine, 2022 - mdpi.com
The early endoscopic identification, resection, and treatment of precancerous adenoma and
early-stage cancer has been shown to reduce not only the prevalence of colorectal cancer …

Application of non-negative matrix factorization in oncology: one approach for establishing precision medicine

R Hamamoto, K Takasawa, H Machino… - Briefings in …, 2022 - academic.oup.com
The increase in the expectations of artificial intelligence (AI) technology has led to machine
learning technology being actively used in the medical field. Non-negative matrix …

Application of artificial intelligence in the diagnosis, treatment, and prognostic evaluation of mediastinal malignant tumors

J Pang, W Xiu, X Ma - Journal of clinical medicine, 2023 - mdpi.com
Artificial intelligence (AI), also known as machine intelligence, is widely utilized in the
medical field, promoting medical advances. Malignant tumors are the critical focus of …

Artificial intelligence and laryngeal cancer: from screening to prognosis: a state of the art review

Y Bensoussan, EB Vanstrum… - … –Head and Neck …, 2023 - Wiley Online Library
Objective This state of the art review aims to examine contemporary advances in
applications of artificial intelligence (AI) to the screening, detection, management, and …

Introducing AI to the molecular tumor board: one direction toward the establishment of precision medicine using large-scale cancer clinical and biological information

R Hamamoto, T Koyama, N Kouno, T Yasuda… - … hematology & oncology, 2022 - Springer
Abstract Since US President Barack Obama announced the Precision Medicine Initiative in
his New Year's State of the Union address in 2015, the establishment of a precision …

[HTML][HTML] Development of artificial intelligence technology in diagnosis, treatment, and prognosis of colorectal cancer

F Liang, S Wang, K Zhang, TJ Liu… - World Journal of …, 2022 - ncbi.nlm.nih.gov
Artificial intelligence (AI) technology has made leaps and bounds since its invention. AI
technology can be subdivided into many technologies such as machine learning and deep …

[HTML][HTML] Automatic recognition of teeth and periodontal bone loss measurement in digital radiographs using deep-learning artificial intelligence

CC Chen, YF Wu, LM Aung, JCY Lin, ST Ngo… - Journal of Dental …, 2023 - Elsevier
Abstract Background/purpose Artificial Intelligence (AI) can optimize treatment approaches
in dental healthcare due to its high level of accuracy and wide range of applications. This …