Obstetrics & Gynecology

The potential of artificial intelligence to revolutionize health care delivery, research, and education in cardiac electrophysiology.

The field of electrophysiology (EP) has benefited from numerous seminal innovations and discoveries ...

An explainable machine learning model to solid adnexal masses diagnosis based on clinical data and qualitative ultrasound indicators.

BACKGROUND: Accurate characterization of newly diagnosed a solid adnexal lesion is a key step in def...

Preparing for the bedside-optimizing a postpartum depression risk prediction model for clinical implementation in a health system.

OBJECTIVE: We developed and externally validated a machine-learning model to predict postpartum depr...

Dark-Blood Computed Tomography Angiography Combined With Deep Learning Reconstruction for Cervical Artery Wall Imaging in Takayasu Arteritis.

OBJECTIVE: To evaluate the image quality of novel dark-blood computed tomography angiography (CTA) i...

Bayesian and deep-learning models applied to the early detection of ovarian cancer using multiple longitudinal biomarkers.

BACKGROUND: Ovarian cancer is the most lethal of all gynecological cancers. Cancer Antigen 125 (CA12...

Enhancing cryo-EM structure prediction with DeepTracer and AlphaFold2 integration.

Understanding the protein structures is invaluable in various biomedical applications, such as vacci...

Innovation Diffusion Across 13 Specialties and Associated Clinician Characteristics.

Diffusion of innovations, defined as the adoption and implementation of new ideas, processes, produc...

PractiCPP: a deep learning approach tailored for extremely imbalanced datasets in cell-penetrating peptide prediction.

MOTIVATION: Effective drug delivery systems are paramount in enhancing pharmaceutical outcomes, part...

Artificial intelligence-based image analysis in clinical testing: lessons from cervical cancer screening.

Novel screening and diagnostic tests based on artificial intelligence (AI) image recognition algorit...

Human-computer interactions and compassionate healthcare: A Wizard of Oz study using a self-administered AI-assisted cognitive assessment

Artificial intelligence (AI) is increasingly transforming healthcare, however, the interaction betwe...

Attention-based whole-slide image compression achieves pathologist-level pre-screening of multi-organ routine histopathology biopsies

Screening programs for early detection of cancer such as colorectal and cervical cancer have led to ...

Effect and Safety of Diluted Vasopressin Injection for Bleeding Control During Robot-assisted Laparoscopic Myomectomy in Reproductive Women With Uterine Fibroids: A Randomized Controlled Pilot Trial (VALENTINE Trial).

BACKGROUND/AIM: Vasopressin injected during myomectomy is known to effectively reduce bleeding but i...

Standardization of robot-assisted pelvic lymph node dissection-Development of a common understanding of regional anatomy and surgical technique based on cross-disciplinary discussion among colorectal surgery, urology, and gynecology.

BACKGROUND: Pelvic lymph node dissection is a procedure performed in gastroenterological surgery, ur...

Common on "comparison of cesarean delivery outcome after robotic and laparoscopic myomectomy".

Machine-learning-guided Directed Evolution for AAV Capsid Engineering.

Target gene delivery is crucial to gene therapy. Adeno-associated virus (AAV) has emerged as a prima...

A Comparative Study of Deep Learning Dose Prediction Models for Cervical Cancer Volumetric Modulated Arc Therapy.

Deep learning (DL) is widely used in dose prediction for radiation oncology, multiple DL techniques...

Assessing the Utility of artificial intelligence in endometriosis: Promises and pitfalls.

Endometriosis, a chronic condition characterized by the growth of endometrial-like tissue outside of...

Understanding the Manufacturing Process of Lipid Nanoparticles for mRNA Delivery Using Machine Learning.

Lipid nanoparticles (LNPs), used for mRNA vaccines against severe acute respiratory syndrome coronav...

Robotic Pills as Innovative Personalized Medicine Tools: A Mini Review.

The most common route for drug administration is the oral route due to the various advantages offere...

Hematological Indices and Genetic Variants of Premature Ovarian Insufficiency: Machine Learning Approaches.

BACKGROUND: Premature Ovarian Insufficiency (POI) is associated with infertility. Little is known ab...

Modelling a self-defined CNN for effectual classification of PCOS from ultrasound images.

BACKGROUND: Polycystic Ovary Syndrome (PCOS) is a medical condition that causes hormonal disorders i...