Obstetrics & Gynecology

A Summary of Artificial Intelligence in Gynecologic Surgery.

Artificial intelligence is transforming healthcare, including obstetrics and gynecology, with applic...

Artificial Intelligence in Gynecologic Imaging.

What was done? A review of artificial intelligence (AI) applications for the imaging of uterine fibr...

Artificial Intelligence in Obstetrics: The Promise Has Become Reality.

Potential change in healthcare costs of implementing artificial intelligence for detecting cervical spine fractures on CT: an early health technology assessment.

OBJECTIVES: To assess healthcare costs of patients screened for cervical spine (C-spine) fractures u...

AI-enhanced virtual reality simulation for nursing students' empathy: Automated scoring and inter-rater reliability in a randomised controlled study.

BACKGROUND: Empathy is a fundamental nursing competence that supports effective communication and hi...

FTIR spectroscopy combined with machine learning reveals molecular signatures distinguishing three phenotypes of endometriosis.

Endometriosis is a chronic inflammatory disorder in which endometrial tissue grows outside the uteru...

Minimally Invasive, Label-Free, Point-of-Care Histopathological Diagnostic Platform of Malignant Tumors of the Female Reproductive System Based on Raman Spectroscopy and Machine Learning.

Fast intraoperative histopathology is critical for optimal surgery in ovarian, endometrial and cervi...

Automated active learning to optimize hydrogel drug release profiles.

Hydrogels are widely used in drug delivery due to their biocompatibility and tunable release propert...

Automated measurement of cervical sagittal and local parameters using a generalizable deep learning model: a multinational development and validation study.

BACKGROUND CONTEXT: Manual measurement of cervical sagittal parameters is time-consuming and exhibit...

Exploring the feature prioritization and data sampling of PCOS diagnosis via densely connected attention based squeeze deep learning detection model.

Accurate and timely diagnosis remains a challenge due to the complexity of Polycystic Ovary Syndrome...

Disrupted brain connectivity in postpartum depression: Insights from resting-state fMRI and machine learning.

BACKGROUND: Postpartum depression (PPD) is a common women's psychological health issue. While studie...

Antimicrobial peptides-based strategies at the frontline in battling the escalating menace of methicillin-resistant Staphylococcus aureus biofilms.

Antimicrobial resistance (AMR), particularly in methicillin-resistant Staphylococcus aureus (MRSA), ...

Evaluation of machine learning predictions for early reproductive success in commercial US dairies.

Reproductive performance affects the profitability of a dairy herd. The ability to understand the re...

Degraders on Demand: Engineering Smart Nanocarriers for PROTAC Delivery.

Proteolysis-targeting chimeras (PROTACs) are transforming targeted therapeutics by enabling the sele...

Overcoming oral delivery barriers of functional proteins: current status and advanced delivery technologies.

Proteins and peptides from functional foods offer notable health benefits, yet their efficacy is hin...

Vascular graph network for ovarian lesion classification using optical-resolution photoacoustic microscopy.

Diagnosing ovarian lesions is challenging because of their heterogeneous clinical presentations. Som...

A Deep Learning-Based Multimodal Clinico-Histology-Genomic Prognostic Model in Prostate Cancer.

BACKGROUND: Prostate cancer remains a leading cause of cancer mortality, yet current risk stratifica...

Cardiac Rehabilitation for Coronary Artery Disease: Gaps, Digital Models, and the Future of Personalized Prevention.

Cardiovascular disease is the leading cause of global morbidity and mortality, with coronary artery ...

Machine learning guided stimuli-responsive catheter for directional drug delivery and dynamic biliary state recognition.

Precise drug delivery in the biliary tract remains challenging due to the dynamic physiological envi...

Advances in microfluidic and artificial intelligence-assisted design of liposomes for drug delivery applications.

Liposomes are used as a vehicle in targeted drug delivery due to inherent biocompatibility and encap...

Integrative analysis of single-cell and bulk transcriptomes reveals metabolic heterogeneity and identifies PFKP as a therapeutic target in cervical cancer.

Cervical cancer (CC) is still a major gynecological tumor among women globally. The heterogeneity la...