Results 251 to 260 of about 1,614,726 (388)

Real-world performance of the SSI Mantra™ robotic system: a multi-centric multi-specialty study evaluating its safety and surgical applications. [PDF]

J Robot Surg
Sp S, Sugara M, Agrawal K, Rawal SK, Singh A, Mehrotra M, Gajbhiye R, Vaddi C, Voleti S, Mehrotra L, Gorthi G, Somashekhar M, Rajput NK.   +12 more
europepmc   +1 more source

Soldier, Surgeon, Scholar: The Memoirs of William Henry Corbusier 1844-1930

, 2004
Michele Nacy
openalex   +2 more sources

Prospective Feasibility Study of Laparoscopic and Robotic Distal Gastrectomy for Advanced Gastric Cancer to Verify the Safety of Surgical Proximal Margins

Annals of Gastroenterological Surgery, EarlyView.
ABSTRACT Ensuring an adequate surgical proximal margin (SPM) is crucial in radical gastrectomy for gastric cancer. However, the lack of tactile feedback in laparoscopic distal gastrectomy (LDG) and robotic distal gastrectomy (RDG) poses challenges in precisely determining tumor boundaries, particularly in advanced gastric cancer, where tumor ...
Rie Makuuchi, Souya Nunobe, Naoki Ishizuka, Shinichiro Atsumi, Yoshiaki Shoji, Motonari Ri, Masaru Hayami, Tomoyuki Irino, Manabu Ohashi, Takeshi Sano   +9 more
wiley   +1 more source

Synergizing Digital and Print: Leveraging Spine Surgeons' Social Media to Transform Publishing and Society Interaction. [PDF]

Int J Spine Surg
Burkhardt BW, Lewandrowski KU, Kim CW, Lorio MP, Alves OL, Fiorelli RKA, Schmidt SL, Yuan HA, Vaccaro AR.   +8 more
europepmc   +1 more source

Presidential Address Surgeons of Early North Carolina

, 1981
Felda Hightower
openalex   +2 more sources

Which Method Best Predicts Postoperative Complications: Deep Learning, Machine Learning, or Conventional Logistic Regression?

Annals of Gastroenterological Surgery, EarlyView.
Deep learning has shown promise in predicting postoperative complications, particularly when using image or time‐series data. However, on tabular clinical data such as the NCD, it often underperforms compared to conventional machine learning. Integrating multimodal data may enhance predictive accuracy and interpretability in surgical care.
Ryosuke Fukuyo, Masanori Tokunaga, Hiroyuki Yamamoto, Hideki Ueno, Yusuke Kinugasa   +4 more
wiley   +1 more source

A National survey of surgeons' perspectives on the treatment of adults with acute appendicitis. [PDF]

Langenbecks Arch Surg
Grundahl MT, Bohr ES, Jensen TK, Lauritsen ML, Nielsen LB, Skovsen AP, Smith HG.   +6 more
europepmc   +1 more source

Direct Instruction by an Experienced Surgeon Can Shorten the Learning Curve for Laparoscopic-Assisted Distal Gastrectomy

, 2013
Masashi Takemura, Katsuyuki Mayumi, Takashi Ikebe, Sinya TANIMURA   +3 more
openalex   +2 more sources

Educational Impact of Artificial Intelligence‐Navigation Surgery on Anatomical Landmark Recognition in Medical Students

Annals of Gastroenterological Surgery, EarlyView.
This study evaluated the educational impact of artificial intelligence (AI)‐navigation surgery that provides real‐time anatomical landmark recognition during laparoscopic cholecystectomy for medical students. Thirty students were randomized into surgeon‐guided, self‐learning, and AI‐learning groups, and their performance was assessed using Dice ...
Shigeo Ninomiya, Yusuke Matsunobu, Tabito Oyama, Hiroomi Takayama, Takashi Masuda, Teijiro Hirashita, Yuichi Endo, Tatsushi Tokuyasu, Masafumi Inomata   +8 more
wiley   +1 more source

IAPSCON 2007 Abstracts

Journal of Indian Association of Pediatric Surgeons, 2007
Indian Association of Pediatric Surgeons
doaj