Latest AI and machine learning research in obstetrics & gynecology for healthcare professionals.
BACKGROUND: Cervical cancer continues to be the second most prevalent type of cancer in women globally, especially in the less developed areas. Among several screening methods Pap test, more popularly known as the Papanicolaou test or Pap smear, is one of the most efficient ones for the early detection of this type of cancer. AI has recently made possible the large-scale screening of the whole pro...
BACKGROUND: Sleep disorders and anxiety-depression symptoms can significantly impair the quality of life and treatment adherence among breast cancer patients undergoing chemotherapy, while also increasing the risk of disease recurrence and mortality. Early identification of the progression trajectory and underlying causes of these symptoms is essential for providing personalized interventions for ...
Early and accurate screening of cervical cancer (CC) is critical for improving patient prognosis and reducing mortality, and there is an urgent clinic...
BACKGROUND: Prenatal exposure to particulate matter has been investigated as a potential environmental factor for autism spectrum disorder (ASD), but ...
The lateral pelvis is a critical anatomical region in colorectal, gynecological, and urological surgeries. However, its anatomical complexity and vari...
BACKGROUND: Cancer screening is a cornerstone of cancer control in Europe yet marked disparities persist in access, implementation, and quality assura...
Objective: To assess the value of a deep learning-based visual model for predicting postoperative upper limb functional recovery after severe acute ce...
Antimicrobial peptides (AMPs), owing to their unique membrane-disrupting mechanism and low susceptibility to resistance, represent important candidate...
Oral transmucosal drug delivery has emerged as a powerful alternative to conventional oral administration by enabling rapid drug absorption, avoiding ...
OBJECTIVES: To evaluate the quality, patient-centeredness, clinician endorsement, and readability of generative artificial intelligence (AI) responses...
BACKGROUND: Ovarian cancer patients requiring intensive care unit (ICU) admission face particularly grave prognosis, yet current prognostic models rel...
BACKGROUND: Feedback is fundamental to health professions education and essential for workplace-based assessment. Unfortunately, most educators lack f...
BACKGROUND: Palliative care improves the quality of life of people living with life-limiting conditions and their families; however, global access rem...
Cervical, endometrial, ovarian, vulvar, vaginal, fallopian tube, and gestational trophoblastic neoplasia (GTN) are major gynecologic cancers that sign...
The clinical efficacy of many conventional passive drug delivery systems is frequently constrained by their low targeting efficiency, important off-ta...
Gene therapy holds revolutionary potential for managing genetic disorders, cancers and infectious illnesses. However, one of the biggest challenges is...
BACKGROUND: Platinum resistance is a major determinant of poor outcome in advanced epithelial ovarian cancer, yet reliable predictors available before...
Breast cancer is a biologically heterogeneous disease in which tumor-intrinsic diversity and the tumor immune microenvironment jointly shape therapeut...
STUDY OBJECTIVES: Prenatal psychological distress is associated with adverse offspring outcomes, including infant sleep disturbances and altered gut m...
BACKGROUND: Patients with neck pain (NP) commonly display impairments in cervical movement control. Improvements in technology used to assess movement...