Results 181 to 190 of about 90,198 (293)

Deep Learning Model for Predicting Operative Mortality After Total Gastrectomy: Analysis of the Japanese National Clinical Database (NCD)

open access: yesAnnals of Gastroenterological Surgery, EarlyView.
Deep learning‐based prediction model for operative mortality using the National Clinical Database (NCD). The model achieved a C‐statistic of 0.74. ABSTRACT Background Radical gastrectomy with lymph node dissection is the primary treatment for gastric cancer.
Ryosuke Fukuyo   +5 more
wiley   +1 more source

Construction of a Feedback Comment Analysis Model for Evaluation of Endoscopic Surgical Skill

open access: yesAnnals of Gastroenterological Surgery, EarlyView.
ABSTRACT Background Surgical education and skill assessments are important in improving surgical skills. However, instructors' comments tend to be complex and unorganized, with varying content and categories. This study aimed to develop a natural language processing (NLP) model to automatically classify feedback comments on surgical procedures and ...
Shusaku Iwai   +7 more
wiley   +1 more source

Cellpose+, a Morphological Analysis Tool for Feature Extraction of Stained Cell Images

open access: yesAdvanced Intelligent Discovery, EarlyView.
We introduce Cellpose plus, a morphological and geometrical analysis tool for feature extraction of stained cell images built over Cellpose, a state‐of‐the‐art cell segmentation framework. We also introduce a dataset of DAPI and FITC stained cells to which our new method is applied.
Israel A. Huaman   +10 more
wiley   +1 more source

Virtual or blended laboratories for healthcare students education: a systematized review. [PDF]

open access: yesBMC Med Educ
Safaeipour R   +5 more
europepmc   +1 more source

In Situ Graph Reasoning and Knowledge Expansion Using Graph‐PRefLexOR

open access: yesAdvanced Intelligent Discovery, EarlyView.
Graph‐PRefLexOR is a novel framework that enhances language models with in situ graph reasoning, symbolic abstraction, and recursive refinement. By integrating graph‐based representations into generative tasks, the approach enables interpretable, multistep reasoning.
Markus J. Buehler
wiley   +1 more source

Home - About - Disclaimer - Privacy