Obstetrics & Gynecology

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 brachyt...

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

The Use of Artificial Intelligence for Complete Cytoreduction Prediction in Epithelial Ovarian Cancer: A Narrative Review.

INTRODUCTION: In patients affected by epithelial ovarian cancer (EOC) complete cytoreduction (CC) ha...

Direct Dose Prediction With Deep Learning for Postoperative Cervical Cancer Underwent Volumetric Modulated Arc Therapy.

PURPOSE: To predict the voxel-based dose distribution for postoperative cervical cancer patients und...

3D Printable Drug Delivery Systems: Next-generation Healthcare Technology and Regulatory Aspects.

A revolutionary shift in healthcare has been sparked by the development of 3D printing, propelling u...

Management Opportunities and Challenges After Achieving Widespread Health System Digitization.

The adoption of electronic health records (EHRs) and digitization of health data over the past decad...

Robot-assisted anterior transpedicular screw fixation with 3D printed implant for multiple cervical fractures: A case report.

RATIONALE: The anterior transpedicular screw (ATPS) fixation in the cervical spine provides the adva...

New technologies in airway management: A review.

The evolution of medical knowledge and technological growth have contributed to the development of d...

[Case of Robot-Assisted Low Anterior Resection with Total Cystectomy for Rectal Cancer Invading the Urinary Bladder/Prostate in Collaboration with Urologists].

We present a case of a 72-year-old man diagnosed with rectal cancer invading the urinary bladder/pro...

Neural networks for classification of cervical vertebrae maturation: a systematic review.

OBJECTIVE: To assess the accuracy of identification and/or classification of the stage of cervical v...

Using Artificial Intelligence for Optimization of the Processes and Resource Utilization in Radiotherapy.

The radiotherapy (RT) process from planning to treatment delivery is a multistep, complex operation ...

The Essence and Role of Nurses in the Future of Biomedical and Health Informatics.

The whole healthcare system is evolving fast due to environmental pressure related to pandemics, cli...

Robot-assisted laparoscopic staging compared to conventional laparoscopic staging and laparotomic staging in clinical early stage ovarian carcinoma.

PURPOSE OF REVIEW: Robot-assisted laparoscopic staging (RALS) is increasingly used for staging epith...

A deep-learning-enabled diagnosis of ovarian cancer.

A deep-learning-enabled diagnosis of ovarian cancer - Authors' reply.

Artificial intelligence model to predict pregnancy and multiple pregnancy risk following in vitro fertilization-embryo transfer (IVF-ET).

OBJECTIVE: To decrease multiple pregnancy risk and sustain optimal pregnancy chance by choosing suit...

Graph-based structural knowledge-aware network for diagnosis assistant.

Diagnosis assistant is an effective way to reduce the workloads of professional doctors. The rich pr...

Double decoupled network for imbalanced obstetric intelligent diagnosis.

Electronic Medical Record (EMR) is the data basis of intelligent diagnosis. The diagnosis results of...

Towards Micropump- and Microneedle-based Drug Delivery using Micro Transdermal Interface Platforms (MicroTIPs).

Micro Transdermal Interface Platforms (MicroTIPs) will combine minimally invasive microneedle arrays...

Deep Learning using Pre-Brachytherapy MRI to Automatically Predict Applicator Induced Complex Uterine Deformation.

This novel deep-learning (DL) algorithm addresses the challenging task of predicting uterine shape a...

Natural Language Processing to Identify Abnormal Breast, Lung, and Cervical Cancer Screening Test Results from Unstructured Reports to Support Timely Follow-up.

Cancer screening and timely follow-up of abnormal results can reduce mortality. One barrier to follo...