Results 111 to 120 of about 50,205 (268)
ABSTRACT Aim To investigate the factors associated with BWL after gastrectomy using data from the phase III trial (JCOG1001). Methods This post hoc analysis included 728 patients from the JCOG1001. The percentage of BWL (%BWL) was defined as the proportion of decrease in body weight immediately before adjuvant chemotherapy initiation compared with that
Takanobu Yamada +16 more
wiley +1 more source
ABSTRACT Background/Objectives Postoperative complications following pancreaticoduodenectomy (PD) remain high, particularly in patients with soft pancreatic texture. Abdominal aortic calcification volume (AACV), a surrogate marker of systemic arteriosclerosis, has been associated with increased surgical risk in lower gastrointestinal procedures ...
Masaki Horiuchi +9 more
wiley +1 more source
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 +9 more
wiley +1 more source
It is a fact that slippage causes tracking errors in both longitudinal and lateral directions which results to have less travel distance in tracking a reference trajectory. Less travel distance means having energy loss of the battery and carrying loads less than planned.
Gokhan Bayar +2 more
wiley +1 more source
IAR‐Net: Tabular Deep Learning Model for Interventionalist's Action Recognition
This study presents IAR‐Net, a deep‐learning framework for catheterization action recognition. To ensure optimality, this study quantifies interoperator similarities and differences using statistical tests, evaluates the distribution fidelity of synthetic data produced by six generative models, and benchmarks multiple deep‐learning models.
Toluwanimi Akinyemi +7 more
wiley +1 more source
Metalearning‐based inverse optimization enables precise microscale three‐dimensional printing using a DLP system. Distorted structures from conventional printing are analyzed via neural network regression, which predicts optimal exposure time and mask design.
Jae Won Choi +3 more
wiley +1 more source
A Resource Reservation Protocol Supporting QoS-aware Multicast Trees for Next Generation Networks
Augusto Neto +4 more
openalex +2 more sources
This paper presents an integrated AI‐driven cardiovascular platform unifying multimodal data, predictive analytics, and real‐time monitoring. It demonstrates how artificial intelligence—from deep learning to federated learning—enables early diagnosis, precision treatment, and personalized rehabilitation across the full disease lifecycle, promoting a ...
Mowei Kong +4 more
wiley +1 more source

