Artificial intelligence and automation in endoscopy and surgery
Modern endoscopy relies on digital technology, from high-resolution imaging sensors and
displays to electronics connecting configurable illumination and actuation systems for …
displays to electronics connecting configurable illumination and actuation systems for …
Artificial intelligence and deep learning for upper gastrointestinal neoplasia
Upper gastrointestinal (GI) neoplasia account for 35% of GI cancers and 1.5 million cancer-
related deaths every year. Despite its efficacy in preventing cancer mortality, diagnostic …
related deaths every year. Despite its efficacy in preventing cancer mortality, diagnostic …
Where do we stand in AI for endoscopic image analysis? Deciphering gaps and future directions
S Ali - npj Digital Medicine, 2022 - nature.com
Recent developments in deep learning have enabled data-driven algorithms that can reach
human-level performance and beyond. The development and deployment of medical image …
human-level performance and beyond. The development and deployment of medical image …
Computer vision in the surgical operating room
Background: Multiple types of surgical cameras are used in modern surgical practice and
provide a rich visual signal that is used by surgeons to visualize the clinical site and make …
provide a rich visual signal that is used by surgeons to visualize the clinical site and make …
Artificial intelligence for upper gastrointestinal endoscopy: a roadmap from technology development to clinical practice
Stomach cancer is the third deadliest type of cancer in the world (0.86 million deaths in
2017). In 2035, a 20% increase will be observed both in incidence and mortality due to …
2017). In 2035, a 20% increase will be observed both in incidence and mortality due to …
Deep learning-based endoscopic anatomy classification: an accelerated approach for data preparation and model validation
YY Chang, PC Li, RF Chang, CD Yao, YY Chen… - Surgical …, 2021 - Springer
Background Photodocumentation during endoscopy procedures is one of the indicators for
endoscopy performance quality; however, this indicator is difficult to measure and audit in …
endoscopy performance quality; however, this indicator is difficult to measure and audit in …
Improvement of gastroscopy classification performance through image augmentation using a gradient-weighted class activation map
HS Ham, HS Lee, JW Chae, HC Cho, HC Cho - IEEE Access, 2022 - ieeexplore.ieee.org
Endoscopic specialists performing gastroscopy, which relies on the naked eye, may benefit
from a computer-aided diagnosis (CADx) system that employs deep learning. This report …
from a computer-aided diagnosis (CADx) system that employs deep learning. This report …
Deep transfer learning from ordinary to capsule esophagogastroduodenoscopy for image quality controlling
Y Zhang, K Zhang, Y Ding, S Liu, M Wang… - Engineering …, 2024 - Wiley Online Library
Quality controlling for capsule endoscopic images can be completed with the assistance of
artificial intelligence, but the labeling process is time‐consuming. Domain adaption is a …
artificial intelligence, but the labeling process is time‐consuming. Domain adaption is a …
Anatomical sites identification in both ordinary and capsule gastroduodenoscopy via deep learning
K Zhang, Y Zhang, Y Ding, M Wang, P Bai… - … Signal Processing and …, 2024 - Elsevier
Anatomical sites recognition is a basic requirement for gastroenterologists. But there is not a
unified framework for anatomical sites identification in both ordinary and capsule …
unified framework for anatomical sites identification in both ordinary and capsule …
Artificial intelligence, machine learning, and surgical science: reality versus hype
Artificial intelligence (AI) has made increasing inroads in clinical medicine. In surgery,
machine learning–based algorithms are being studied for use as decision aids in risk …
machine learning–based algorithms are being studied for use as decision aids in risk …