Obstetrics & Gynecology

The first report of surgery for gynecological diseases using the hinotori™ surgical robot system.

OBJECTIVE: This study aimed to report the first surgery for gynecological diseases using a new robotic platform, the hinotori™, and validate its feasibility in clinical settings.

ChatGPT and mental healthcare: balancing benefits with risks of harms.

Against the global need for increased access to mental services, health organisations are looking to technological advances to improve the delivery of care and lower costs. Since November 2022, with the public launch of OpenAI's ChatGPT, the field of generative artificial intelligence (AI) has received expanding attention. Although generative AI itself is not new, technical advances and the increa...

Enhancing Healthcare Through Telehealth Ecosystems: Impacts and Prospects.

This poster presents a comprehensive assessment of the transformative potential of telehealth ecosystems, integrating Internet of Things (IoT), Intern...

Effects of 0.15% ropivacaine alone and combination with sufentanil on epidural labor analgesia and adverse reactions.

OBJECTIVE: The aim of this study was to compare the impacts of 0.15% ropivacaine alone and 0.15% ropivacaine combined with sufentanil on epidural labo...

Diagnostic Detection of H7N3 Low Pathogenicity Avian Influenza in a Commercial Game Bird Flock.

Low pathogenicity avian influenza (LPAI) H7N3 was diagnosed in a flock of commercially raised Japanese quail () breeder hens. The birds were submitted...

Preliminary Results of Deep Learning Approach for Preoperative Diagnosis of Ovarian Cancer Based on Pelvic MRI Scans.

BACKGROUND/AIM: To predict the pathological diagnosis of ovarian tumors using preoperative MRI images, using deep learning models.

Platelet RNA signature independently predicts ovarian cancer prognosis by deep learning neural network model.

Introduction to Point-of-Care Ultrasonography.

Medical ultrasonography was first used as a diagnostic tool in 1942 by Theodore Karl Dussik to visualize brain structures. Use of ultrasonography broa...

Artificial intelligence and cytopathology: Where are we heading?: In this first of a two-part series, a recent burst of research in artificial intelligence is showing how the algorithms can expand beyond gynecologic applications-and how they might shift responsibilities for the cytology workforce: In this first of a two-part series, a recent burst of research in artificial intelligence is showing how the algorithms can expand beyond gynecologic applications-and how they might shift responsibilities for the cytology workforce.

Towards an Explainable AI-Based Tool to Predict Preterm Birth.

Preterm birth (PTB) is defined as delivery occurring before 37 weeks of gestation. In this paper, Artificial Intelligence (AI)-based predictive models...

[Clinical study of bilateral axillo-breast approach robot in obese women with thyroid cancer].

To explore the safety and feasibility of bilateral axillo-breast approach （BABA） robot in the operation of thyroid cancer in obese women. The clinical...

Robot-Assisted Hysterectomy for Primary Choriocarcinoma of the Cervix - A Novel Approach.

The incidence of ectopic choriocarcinoma with primary localization in the uterine cervix is extremely low, with less than hundred cases reported in th...

Digital health and technologies.

Digital health was given impetus by the COVID-19 pandemic and demonstrated its potential for the delivery of safe care in the community. Remote monito...

Using Natural Language Processing to Improve Discrete Data Capture From Interpretive Cervical Biopsy Diagnoses at a Large Health Care Organization.

CONTEXT.—: The terminology used by pathologists to describe and grade dysplasia and premalignant changes of the cervical epithelium has evolved over t...

Tracing human life trajectory using gut microbial communities by context-aware deep learning.

The gut microbial communities are highly plastic throughout life, and the human gut microbial communities show spatial-temporal dynamic patterns at di...

Enhancing Therapeutic Delivery Using Micro- and Nanorobots.

"The traditional way of delivering drugs has a very low efficiency. For instance, with solid tumors, drug delivery efficiency is reported to be lower ...

SVM classifier of cervical histopathology images based on texture and morphological features.

BACKGROUND: Cervical histopathology image classification is a crucial indicator in cervical biopsy results.

A deep learning-based method for cervical transformation zone classification in colposcopy images.

BACKGROUND: Colposcopy is one of the common methods of cervical cancer screening. The type of cervical transformation zone is considered one of the im...

Segmentation of Clinical Target Volume From CT Images for Cervical Cancer Using Deep Learning.

Segmentation of clinical target volume (CTV) from CT images is critical for cervical cancer brachytherapy, but this task is time-consuming, laborious...

Ensemble biomarkers for guiding anti-angiogenesis therapy for ovarian cancer using deep learning.