Results 211 to 220 of about 208,599 (260)

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

open access: yesAnnals 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   +14 more
wiley   +1 more source

Comparison of Minimally Invasive Colectomy Between Intra‐ Versus Extra‐Corporeal Anastomosis Technique (COMMIT Study): Mid‐Term Analysis

open access: yesAnnals of Gastroenterological Surgery, EarlyView.
This multicenter retrospective cohort study compared mid‐term oncological outcomes between intracorporeal anastomosis (IA) and extracorporeal anastomosis (EA) in minimally invasive colectomy for colon cancer using propensity score–matched data from 2018 to 2022.
Takuya Takami   +9 more
wiley   +1 more source

The National Clinical Database Risk Calculator and the 5‐Item Modified Frailty Index Predict the Development of Postoperative Delirium After Surgery for Hepatocellular Carcinoma

open access: yesAnnals of Gastroenterological Surgery, EarlyView.
This study demonstrates that combining the NCD Risk Calculator with the mFI‐5 enables more precise stratification of postoperative delirium risk in patients undergoing surgery for HCC. Patients classified as high risk by the combined model showed a markedly higher incidence of delirium than those in the intermediate‐ and low‐risk groups.
Kiyotaka Hosoda   +9 more
wiley   +1 more source

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

open access: yesAnnals 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   +11 more
wiley   +1 more source

Evaluation of the clinical frailty scale for predicting mortality or functional dependence at ICU discharge: A cohort study. [PDF]

open access: yesSci Rep
Kozesinski-Nakatani AC   +10 more
europepmc   +1 more source

Differential Prognostic Impact of Prior Cholecystectomy Between Proximal and Distal Colorectal Cancer: A 12‐Year Retrospective Cohort Study of 3487 Consecutive Patients

open access: yesAnnals of Gastroenterological Surgery, EarlyView.
In this retrospective cohort of 3487 patients with CRC, history of CCY was associated with significantly worse prognosis in patients with proximal CRC but not in those with distal CRC. This differential prognostic impact showed a statistically significant interaction between tumor location and history of CCY and remained robust after PSM.
Masashi Tsunematsu   +9 more
wiley   +1 more source

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

open access: yesAdvanced 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   +5 more
wiley   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

open access: yesAdvanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

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