AI co-pilot bronchoscope robot

J Zhang, L Liu, P Xiang, Q Fang, X Nie, H Ma… - Nature …, 2024 - nature.com
The unequal distribution of medical resources and scarcity of experienced practitioners
confine access to bronchoscopy primarily to well-equipped hospitals in developed regions …

Lack of Effectiveness of Computer Aided Detection for Colorectal Neoplasia: A Systematic Review and Meta-analysis of Non-Randomized Studies

HK Patel, Y Mori, C Hassan, T Rizkala… - Clinical …, 2023 - Elsevier
Background Benefits of computer-aided detection (CADe) in detecting colorectal neoplasia
were shown in many randomized trials where endoscopists' behavior was strictly controlled …

The role of artificial intelligence in prospective real-time histological prediction of colorectal lesions during colonoscopy: a systematic review and meta-analysis

B Vadhwana, M Tarazi, V Patel - Diagnostics, 2023 - mdpi.com
Artificial intelligence (AI) presents a novel platform for improving disease diagnosis.
However, the clinical utility of AI remains limited to discovery studies, with poor translation to …

Evaluation of computer-aided detection during colonoscopy in the community (AI-SEE): a multicenter randomized clinical trial

MT Wei, U Shankar, R Parvin, SH Abbas… - Official journal of the …, 2023 - journals.lww.com
METHODS: Between September 28, 2020, and September 24, 2021, a randomized
controlled trial (AI-SEE) was performed evaluating the impact of CADe on polyp detection in …

Performance and attitudes toward real-time computer-aided polyp detection during colonoscopy in a large tertiary referral center in the United States

F Nehme, E Coronel, DA Barringer, LG Romero… - Gastrointestinal …, 2023 - Elsevier
Background and Aims Computer-aided detection (CADe) has been shown to improve polyp
detection in clinical trials. Limited data exist on the impact, utilization, and attitudes toward …

Navigating the “trough of disillusionment” for CADe polyp detection: what can we learn about negative AI trials and the physician-AI hybrid?

TM Berzin, JG Brown - Official journal of the American College of …, 2023 - journals.lww.com
While research on machine learning and artificial intelligence (AI) applications for polyp
detection in colonoscopy have existed since at least the early 1990s (1), there has been a …

[HTML][HTML] Artificial intelligence in gastrointestinal endoscopy: a comprehensive review

H Ali, MA Muzammil, DS Dahiya, F Ali… - Annals of …, 2024 - ncbi.nlm.nih.gov
Integrating artificial intelligence (AI) into gastrointestinal (GI) endoscopy heralds a significant
leap forward in managing GI disorders. AI-enabled applications, such as computer-aided …

Clinical validation benchmark dataset and expert performance baseline for colorectal polyp localization methods

LF Sánchez-Peralta, B Glover, CL Saratxaga… - Journal of …, 2023 - mdpi.com
Colorectal cancer is one of the leading death causes worldwide, but, fortunately, early
detection highly increases survival rates, with the adenoma detection rate being one …

[HTML][HTML] The impact of artificial intelligence in improving polyp and adenoma detection rate during colonoscopy: systematic-review and meta-analysis

R Adiwinata, K Tandarto, J Arifputra… - Asian Pacific Journal …, 2023 - ncbi.nlm.nih.gov
Methods: The present study adhered to the guidelines outlined in the Preferred Reporting
Items for Systematic Reviews and Meta-analyses 2020 (PRISMA 2020) statement. To …

深度学习在结肠息肉分割中的应用综述.

孙福艳, 王琼, 吕宗旺, 龚春艳 - Journal of Computer …, 2023 - search.ebscohost.com
大部分结直肠癌起源于结肠息肉的恶性病变, 使用计算机辅助诊断系统实现结肠息肉的自动精准
分割具有重要的临床意义, 能够在结肠镜检查过程中辅助医生提高息肉检出率 …