Results 1 to 10 of about 11,449 (195)

Integration of Endocuff‐Assisted and Computer‐Aided Colonoscopy: A Meta‐Analysis of Randomized Controlled Trials [PDF]

JGH Open
Introduction Colorectal cancer (CRC) is a leading cause of cancer‐related deaths, with missed lesions during colonoscopy contributing to increased mortality.
Umar Akram, Eeshal Fatima, Shahzaib Ahmed, Eeman Ahmad, Hareesha Rishab Bharadwaj, Muhammad Hassan Ahmad, Muhammad Sohaib, Khabab Abbasher Hussien Mohamed Ahmed, Dushyant Singh Dahiya   +8 more
doaj   +2 more sources

Effectiveness of AI-enhanced colonoscopy: A case-control study using real world evidence in a young screening age population [PDF]

The Saudi Journal of Gastroenterology
Background:Computer aided detection (CADe) colonoscopy has been shown in randomized controlled trials to improve detection of adenomatous colorectal polyps. However, in real-world settings the benefits are less clear.
Maryam A. Alahmad, Youstina A. Ghoris, Colleen S. Thomas, Mutaz I. Atieh, Heba A. Abulkas, Ishtiaq Ahmed, Enas F. Ahmed, Ameirah B. Al Ali, Darshan Nagaraju, Mohammed A. Karajeh, Michael B. Wallace   +10 more
doaj   +2 more sources

Patentes essenciais e defesa da concorrência no Brasil: fundamentos econômicos e a experiência do Cade

Revista Brasileira de Direito
A crescente adoção de padrões tecnológicos ampliou a relevância das patentes essenciais e dos compromissos de licenciamento em termos justos, razoáveis e não discriminatórios (fair, reasonable and non-discriminatory – FRAND).
Tatiana de Macedo Nogueira Lima, Lílian Santos Marques Severino, Gerson Carvalho Bênia   +2 more
doaj   +3 more sources

Advanced computer-aided detection system exhibits no more false positives than experienced endoscopists in an image-based comparative study of colon polyps [PDF]

Frontiers in Medicine
BackgroundThe presence of computer-aided detection (CADe) false positives (FPs) may pose a hurdle to endoscopists’ confidence in, and acceptance of this technology.
Shan Lei, Guanyu Zhou, Tyler M. Berzin, Xun Xiao, Peixi Liu, Pu Wang   +5 more
doaj   +2 more sources

Development of an Artificial Intelligence for Detecting False Positive Detection to Manage the Accuracy of Artificial Intelligence in Colonoscopy [PDF]

Journal of the Anus, Rectum and Colon
Objectives: False positive detection (FPD) is a clinically relevant challenge that must be solved to ensure the safe and effective integration of artificial intelligence (AI) into colonoscopy. This study aimed to develop a novel AI system for quantifying
Naohisa Yoshida, Ruiyao Zhang, Yasutaka Morimoto, Takeshi Yasuda, Reo Kobayashi, Naoto Iwai, Ken Inoue, Osamu Dohi, Hardesh Dhillon, Ryohei Hirose, Tomohisa Takagi, Xin Zhu   +11 more
doaj   +2 more sources

Impact of an Artificial Intelligence-Based Computer Aided Detection System (CADe) on Colonoscopies Performed in Hawaiʻi [PDF]

Hawaii J Health Soc Welf
Ankur Jain, Aadi Jain, Diya Jain, Shilpa Jain, Ian Pagano   +4 more
openalex   +2 more sources

Clinical Performance of Gastric CADe : Beyond Lesion Recognition From the G‐ CADe Trial [PDF]

Dig Endosc
Ayaka Takasu
openalex   +3 more sources

Effectiveness of CADe in Colonoscopy for Improved Adenoma and Polyp Detection Under Diverse Clinical Conditions [PDF]

In Vivo
TAEHWAN RYU, S. Park, EUNBYEOL CHO, SUYEON KIM, DONG HYUN KIM   +4 more
openalex   +2 more sources

The Addition of Computer‐Aided Detection (CADe) to Texture and Color Enhancement Imaging (TXI) Does Not Improve Adenoma Detection Rate During Colonoscopy: A Prospective Study [PDF]

J Gastroenterol Hepatol
Edward J. Young, AV Rajagopalan, Derrick Tee, Dharshan Sathananthan, Hamish Philpott, Dauda Bawa, R Singh   +6 more
openalex   +2 more sources

A comparative study benchmarking colon polyp with computer‐aided detection (CADe) software

DEN Open
Background and aims Computer‐aided detection software (CADe) has shown promising results in real‐time polyp detection, but a limited head‐to‐head comparison of the available CADe systems has been performed.
Thomas De Lange, Nikolaos Papachrysos
exaly   +2 more sources