Obstetrics & Gynecology

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) has been associated with higher survival outcomes. Artificial intelligence (AI) systems have proved clinical benefice in different areas of healthcare.

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 underwent volumetric modulated arc therapy using deep learning models.

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 us into an era replete with boundless opportunities...

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 decade is ushering in the next generation of digital he...

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 advantages of both anterior and posterior cervical sur...

[Expert consensus on label criterion and quality control of artificial intelligence-assisted liquid-based cervical cytology diagnosis dataset (2022 version)].

New technologies in airway management: A review.

The evolution of medical knowledge and technological growth have contributed to the development of different techniques and devices for airway managem...

[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/prostate. Preoperative chemoradiotherapy substantiall...

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 vertebrae maturity on lateral cephalograms by neura...

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 involving numerous levels of human-machine interac...

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, climate change, personnel shortages, and financial li...

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 epithelial ovarian cancer (EOC). Evidence of its safety...

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 suitable number of embryos during transfer, this study...

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

Diagnosis assistant is an effective way to reduce the workloads of professional doctors. The rich professional knowledge plays a crucial role in diagn...

Double decoupled network for imbalanced obstetric intelligent diagnosis.

Electronic Medical Record (EMR) is the data basis of intelligent diagnosis. The diagnosis results of an EMR are multi-disease, including normal diagno...

Development of a deep learning-based nomogram for predicting lymph node metastasis in cervical cancer: A multicenter study.

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

Micro Transdermal Interface Platforms (MicroTIPs) will combine minimally invasive microneedle arrays with highly miniaturized sensors, actuators, cont...

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 and location when deformed from its natural anatomy...