Results 111 to 120 of about 371 (178)

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

Psoas Muscle Volume as a Predictor of Postoperative Complications in Patients Undergoing Emergency Surgery for Strangulated Small Bowel Obstruction: A Retrospective Single‐Center Study

Annals of Gastroenterological Surgery, EarlyView.
This retrospective study identified low preoperative psoas muscle volume, measured by computed tomography, as an independent predictor of postoperative complications in patients undergoing emergency surgery for strangulated small bowel obstruction. Low psoas muscle volume, particularly in older adults, was associated with cardiopulmonary and systemic ...
Takuya Shiraishi, Chika Katayama, Yuta Shibasaki, Chika Komine, Takuhisa Okada, Akihiko Sano, Makoto Sakai, Hiroomi Ogawa, Ken Shirabe, Hiroshi Saeki   +9 more
wiley   +1 more source

Impact of Abdominoperineal Resection on Postoperative Male Sexual Function After Minimally Invasive Rectal Cancer Surgery: A Subgroup Analysis From the LANDMARC Study

Annals of Gastroenterological Surgery, EarlyView.
Abdominoperineal resection (APR) after minimally invasive rectal cancer surgery was associated with significantly higher rates of erectile and early ejaculatory dysfunction compared with anal‐sparing surgery. Although ejaculatory function showed partial recovery over time, erectile dysfunction persisted up to 12 months postoperatively.
Taiki Kajiwara, Shinobu Ohnuma, Michiaki Unno, Masakatsu Numata, Tomohiro Yamaguchi, Koya Hida, Tomonori Akagi, Suguru Hasegawa, Akio Shiomi, Ryo Inada, Manabu Shiozawa, Keisuke Kazama, Masanori Hotchi, Masahiko Watanabe, Takeshi Naitoh   +14 more
wiley   +1 more source

Evaluation of Experienced Manipulation Characteristics in Robotic Surgery Using Log Data From the Hinotori Surgical System

Annals of Gastroenterological Surgery, EarlyView.
This study analyzed log data from the Japanese hinotori surgical robot to characterize manipulation performed by experienced surgeons in robotic surgery. Compared with less‐experienced surgeons, the experienced group demonstrated shorter task durations, reduced travel distances with the right instrument (Arm3), faster and more dynamically modulated ...
Masaki Saito, Shunsuke Hayakawa, Hiroyuki Sagawa, Tamiaki Kondo, Masanao Ohashi, Sunao Ito, Reo Sato, Hajime Ushigome, Kenta Saito, Ryo Ogawa, Hiroki Takahashi, Shuji Takiguchi   +11 more
wiley   +1 more source

Implementing endoscopy video recording in routine clinical practice: Strategies from three tertiary care centers

Endoscopy International Open
Jonas L. Steinhäuser, Tyler M. Berzin, Mark E. Geissler, Cornelius Weber, Nora Herzog, Maxime Le Floch, Stefan Brückner, Jochen Hampe, Sami Elamin, Joel Troya, Alexander Hann, Franz Brinkmann   +11 more
doaj   +1 more source

Multifactor Risk Stratification for Post‐Transplant Alcohol Relapse Using Abstinence, Psychosocial, and Socioeconomic Factors

Annals of Gastroenterological Surgery, EarlyView.
Alcohol relapse after liver transplantation is difficult to predict using abstinence duration alone. We developed a multifactor model integrating abstinence duration, psychosocial risk (SIPAT), and socioeconomic context (AUC 0.70). This approach may support individualized risk assessment and tailored follow‐up intensity; external validation is needed ...
Ayato Obana, Garren Montgomery, Miho Akabane, Matthew Hamilton, Navdeep Singh, Musab Alebrahim, Austin Schenk, Sylvester Black, Kenneth Washburn, Khalid Mumtaz   +9 more
wiley   +1 more source

Splenic injury associated with colonoscopy in hospitalized patients: Incidence, risk factors, management, and outcome

Endoscopy International Open
Herbert Koop, Christoph Skupnik, Torsten Schnoor, Dirk Horenkamp-Sonntag   +3 more
doaj   +1 more source

Association of a Multimodal Perioperative Care Program With Postoperative Complications in Elderly Patients Undergoing Gastrectomy for Gastric Cancer

Annals of Gastroenterological Surgery, EarlyView.
Implementation of a multimodal perioperative care program and reduction of postoperative complications. ABSTRACT Purpose This retrospective study aimed to assess the clinical effectiveness of a multimodal perioperative care program in reducing postoperative complications in elderly patients undergoing gastrectomy for gastric cancer.
Keiichi Fujiya, Hiroshi Fuseya, Yusuke Yonenaga, Keiko Sanada, Toshimi Inano, Yumi Oguma, Kazuko Nakajima, Chikako Ando, Kumiko Oka, Yusuke Koseki, Kenichiro Furukawa, Yutaka Tanizawa, Masanori Terashima, Etsuro Bando   +13 more
wiley   +1 more source

Artificial intelligence-assisted esophagogastroduodenoscopy improves procedure quality for endoscopists in early stages of training

Endoscopy International Open
Shannon Melissa Chan, Daniel Chan, Hon Chi Yip, Markus Wolfgang Scheppach, Ray Lam, Stephen KK Ng, Enders Kwok Wai Ng, Philip W Chiu   +7 more
doaj   +1 more source

Feature Selection for Machine Learning‐Driven Accelerated Discovery and Optimization in Emerging Photovoltaics: A Review

Advanced Intelligent Discovery, EarlyView.
Feature selection combined with machine learning and high‐throughput experimentation enables efficient handling of high‐dimensional datasets in emerging photovoltaics. This approach accelerates material discovery, improves process optimization, and strengthens stability prediction, while overcoming challenges in data quality and model scalability to ...
Jiyun Zhang, Jiayi Tan, Qizhen Song, Tian Du, Jens Hauch, Christoph J. Brabec   +5 more
wiley   +1 more source