Artificial intelligence in surgery

C Varghese, EM Harrison, G O'Grady, EJ Topol - Nature Medicine, 2024 - nature.com
Artificial intelligence (AI) is rapidly emerging in healthcare, yet applications in surgery
remain relatively nascent. Here we review the integration of AI in the field of surgery …

[HTML][HTML] Digital pathology: transforming diagnosis in the digital age

N Kiran, FNU Sapna, FNU Kiran, D Kumar, FNU Raja… - Cureus, 2023 - ncbi.nlm.nih.gov
In the context of rapid technological advancements, the narrative review titled" Digital
Pathology: Transforming Diagnosis in the Digital Age" explores the significant impact of …

[HTML][HTML] Artificial intelligence in cancer care: From diagnosis to prevention and beyond

M Farrokhi, A Moeini, F Taheri, M Farrokhi, M Mostafavi… - Kindle, 2023 - preferpub.org
Artificial Intelligence (AI) has made significant strides in revolutionizing cancer care,
encompassing various aspects from diagnosis to prevention and beyond. With its ability to …

[HTML][HTML] AI-assisted Screening and Prevention Programs for Diseases

M Farrokhi, A Moeini, F Taheri, M Farrokhi… - Kindle, 2023 - preferpub.org
AI-assisted screening and prevention programs have the potential to revolutionize disease
management and improve public health outcomes. By harnessing the power of artificial …

Establishment of a novel lysosomal signature for the diagnosis of gastric cancer with in-vitro and in-situ validation

Q Wang, Y Liu, Z Li, Y Tang, W Long, H Xin… - Frontiers in …, 2023 - frontiersin.org
Background Gastric cancer (GC) represents a malignancy with a multi-factorial combination
of genetic, environmental, and microbial factors. Targeting lysosomes presents significant …

A real-time interpretable artificial intelligence model for the cholangioscopic diagnosis of malignant biliary stricture (with videos)

X Zhang, D Tang, JD Zhou, M Ni, P Yan, Z Zhang… - Gastrointestinal …, 2023 - Elsevier
Background and Aims It is crucial to accurately determine malignant biliary strictures (MBSs)
for early curative treatment. This study aimed to develop a real-time interpretable artificial …

Artificial intelligence for upper gastrointestinal endoscopy: a roadmap from technology development to clinical practice

F Renna, M Martins, A Neto, A Cunha, D Libânio… - Diagnostics, 2022 - mdpi.com
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 …

Deep learning and gastric cancer: systematic review of AI-assisted endoscopy

E Klang, A Soroush, GN Nadkarni, K Sharif, A Lahat - Diagnostics, 2023 - mdpi.com
Background: Gastric cancer (GC), a significant health burden worldwide, is typically
diagnosed in the advanced stages due to its non-specific symptoms and complex …

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 …

Current status of quality control in screening esophagogastroduodenoscopy and the emerging role of artificial intelligence

L Zhang, L Yao, Z Lu, H Yu - Digestive Endoscopy, 2024 - Wiley Online Library
Esophagogastroduodenoscopy (EGD) screening is being implemented in countries with a
high incidence of upper gastrointestinal (UGI) cancer. High‐quality EGD screening ensures …