Results 231 to 240 of about 2,322,609 (300)
Histopathologically Proven Tarsal Lacrimal Gland Choristoma. [PDF]
Tatlici E +3 more
europepmc +1 more source
Current Status and Future Perspectives of Robotic Surgery for Esophagogastric Cancer in Asia
ABSTRACT Robotic‐assisted surgery (RAS) has moved from an experimental adjunct to an increasingly established component of gastrointestinal (GI) oncological practice in parts of Asia, a region that carries a disproportionately high burden of gastric and esophageal cancer. Asian surgeons have been among the earliest and most prolific contributors to the
Jia Jun Ang, Jimmy Bok Yan So
wiley +1 more source
A Smartphone-Assisted Schirmer Strip for Rapid Dual Colorimetric Sensing of Tear Glucose and pH Level. [PDF]
Cetinkaya Z +5 more
europepmc +1 more source
AI‐generated anatomical highlighting improved surgeons' recognition of actual ureteral injuries during laparoscopic colorectal surgery, including recognition within predefined injury time‐code windows. No significant overall improvement was observed for pancreatic injury, and incorrect adverse‐event judgments did not increase in no‐injury videos. These
Shunjin Ryu +9 more
wiley +1 more source
Artificial Intelligence in Ocular Oncology and Pathology: A Call for Contributions. [PDF]
Djulbegovic MB.
europepmc +1 more source
Data‐Driven High‐Throughput Volume Fraction Estimation From X‐Ray Diffraction Patterns
Long exposure times and the need for manual evaluation limit the use of X‐ray diffraction in high‐throughput applications. This study presents a data‐driven approach addressing both issues. HiVE (a method for High‐throughput Volume fraction Estimation) performs composition estimation for high‐noise XRD patterns produced using polychromatic emission ...
Hawo H. Höfer +6 more
wiley +1 more source
Sodium Amide Eye Injury: Eye Injury After Sodium Amide Explosion. [PDF]
Weiss G +4 more
europepmc +1 more source
LLM‐Based Scientific Assistants for Knowledge Extraction: Which Design Choices Matter?
A comprehensive framework for optimizing Large Language Models in domain‐specific applications is introduced. The LLM Playground integrates Prompt Engineering, knowledge augmentation, and advanced reasoning strategies to enable systematic comparison of architectures and base models.
David Exler +7 more
wiley +1 more source

