Artificial intelligence (AI) language models are increasingly integrated into clinical and patient-centered information pathways, yet their accuracy in delivering condition-specific dental knowledge remains unclear. This comparative study evaluated t... read more
Archives of gynecology and obstetrics
Jan 20, 2026
INTRODUCTION: We aimed to develop a machine learning model for first-trimester prediction of gestational diabetes mellitus (GDM) in twin pregnancies using a prospective international, multi-center cohort and identify useful predictive markers. METHOD... read more
BACKGROUND: Data on neoadjuvant treatment with trastuzumab biosimilars, particularly CT-P6, in combination with pertuzumab, are limited. This study evaluates the efficacy, tolerability, and immunogenicity of CT-P6 plus pertuzumab and chemotherapy, in... read more
Port-wine stain (PWS) is a congenital capillary malformation with a 0.3-0.5% prevalence. This article reviews key techniques and advancements in the diagnosis and treatment of PWS. For assessment, several noninvasive diagnostic techniques were analyz... read more
The quarterly journal of nuclear medicine and molecular imaging : official publication of the Italian Association of Nuclear Medicine (AIMN) [and] the International Association of Radiopharmacology (IAR), [and] Section of the Society of...
Jan 20, 2026
Lung scintigraphy is a common nuclear medicine procedure for evaluating pulmonary perfusion and ventilation, particularly in the diagnosis of pulmonary embolism (PE) and preoperative lung function assessment. With the advent of artificial intelligenc... read more
Archives of gynecology and obstetrics
Jan 20, 2026
PURPOSE: Maternity care is a central component of any healthcare system and is largely provided by midwives. Considering increasing cost pressures and growing demand for efficiency within the German healthcare system, the development of efficient, di... read more
PURPOSE: This study aimed to investigate the feasibility of combining high-frequency reconstruction kernels and deep-learning image reconstruction at high-strength level (DLIR-H) for improving visualization of the pancreas and tumor boundaries on pan... read more
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