Latest AI and machine learning research in obstetrics & gynecology for healthcare professionals.
BACKGROUND: Stereotactic body radiotherapy of thoracic and abdominal tumors has to account for respi...
BACKGROUND: The prevalence of metabolic syndrome is rapidly increasing in the United States. We hypo...
AIMS: Accurate dose delivery is crucial for cervical cancer volumetric modulated arc therapy (VMAT)....
PURPOSE: To Demonstrate the clinical validation of a machine learning (ML) model for applicator and ...
Tumor-infiltrating lymphocytes (TILs) are associated with improved survival in patients with epithel...
Artificial intelligence (AI) has emerged as a transformative tool in the field of ophthalmology, rev...
OBJECTIVE: Cervical cancer, a prevalent and deadly disease among women, comes second only to breast ...
Expedited implementation of evidence into practice and policymaking is critical to ensure the delive...
OBJECTIVE: This study aims to explore the opinions on the insurance coverage of artificial intellige...
OBJECTIVE: Physical therapists and clinicians commonly confirm craniocervical posture (CCP), cervica...
BACKGROUND: Surgery combined with radiotherapy substantially escalates the likelihood of encounterin...
The objective is to compare the clinical efficacy and safety of the S8 navigation system and the Tin...
Carotid corrected flow time (FTc) and tidal volume challenge pulse pressure variation (VtPPV) are us...
AIM: The objective of this study is to explore the diagnostic value of machine learning (ML) in bord...
BACKGROUND: Artificial intelligence (AI), particularly generative AI, has emerged as a transformativ...
Ovarian cancer (OC), known for its pronounced heterogeneity, has long evaded a unified classificatio...
Recently, magnetically actuated micro/nanorobots hold extensive promises in biomedical applications ...
OBJECTIVE: The objective of this study was to investigate the role of phase separation-related genes...
Medical image segmentation is an important step in medical image analysis, especially as a crucial p...
In this report, we described a new technique of gasless V-NOTES for hysterectomy and salpingectomy o...
Thus, the aim of this study is to evaluate the performance of deep learning imaging reconstruction (...