Results 181 to 190 of about 683,972 (341)

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

Clinically Informed Intelligent Classification of Ovarian Cancer Cells by Label‐Free Holographic Imaging Flow Cytometry

open access: yesAdvanced Intelligent Systems, Volume 7, Issue 3, March 2025.
Quantitative phase maps of single cells recorded in flow cytometry modality feed a hierarchical architecture of machine learning models for the label‐free identification of subtypes of ovarian cancer. The employment of a priori clinical information improves the classification performance, thus emulating the clinical application of liquid biopsy during ...
Daniele Pirone   +11 more
wiley   +1 more source

Mulher, Medicina e tecnologia nos discursos de residentes em Obstetrícia/Ginecologia

open access: yesCadernos de Saúde Pública
Este estudo objetivou explicitar os significados culturais sobre a mulher e seu processo de adoecimento que estão presentes nos discursos médicos de residentes em Obstetrícia/Ginecologia do Instituto Fernandes Figueira, Fundação Oswaldo Cruz.
Ana Cristina Bohrer Gilbert   +2 more
doaj  

Problem-based learning in obstetrics and gynecology: a systematic review. [PDF]

open access: yesRev Bras Ginecol Obstet
Fernandes I   +3 more
europepmc   +1 more source

Edge Information‐Augmented Auxiliary Diagnosis Method for Cervical Cancer in Medical Decision‐Making Systems

open access: yesAdvanced Intelligent Systems, EarlyView.
To address the problems of insufficient utilization of multiscale features and inefficient feature sharing between tasks in the model, this study proposes an edge‐enhanced intelligent cervical cancer screening method that achieves feature reuse and improves efficiency by jointly optimizing nucleolus segmentation and lesion classification.
Li Wen   +4 more
wiley   +1 more source

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