BACKGROUND: Intrahepatic cholangiocarcinoma (iCCA) is a highly aggressive liver malignancy characterized by an adverse outcome attributed to delayed detection, elevated recurrence rates, and resistance to chemotherapy. Identifying innovative indicato... read more
BACKGROUND & AIMS: Metabolic dysfunction-associated steatotic liver disease (MASLD) exhibits well-established sex differences across its risk factors, disease progression, and liver-related and extrahepatic outcomes. We trained sex-specific machine l... read more
Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine
May 8, 2026
OBJECTIVES: Accurate nuchal translucency (NT) measurement for assessing the risk of fetal genetic abnormalities requires precise acquisition of the mid-sagittal plane (MSP). However, achieving an appropriate MSP is technically challenging due to anat... read more
PURPOSE: To propose a new method using a physics-guided neural network for quantitative parameter mapping in balanced steady-state free precession (bSSFP) imaging. THEORY AND METHODS: We trained physics-guided neural networks with a multilayer percep... read more
Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine
May 8, 2026
OBJECTIVES: This retrospective study aims to develop and validate a multimodal nomogram for the prenatal risk assessment of hypoplastic left heart syndrome (HLHS) and to explore significant risk factors for HLHS. METHODS: This retrospective study enr... read more
With the rapid advancement of generative artificial intelligence (GAI), the traditional teacher-student relationship in international Chinese language education is undergoing substantial transformation. This study investigates whether and how GAI res... read more
Lung cancer, the leading cause of death worldwide, claims millions of lives yearly, largely due to limited early interventions. Currently used lung cancer screening methods are still limited in their reach and accuracy due to invasiveness, radiation ... read more
PURPOSE OF REVIEW: Rapid advances in surgical visualization, microsurgical instrumentation, artificial intelligence (AI), and robotic assistance are reshaping ophthalmic surgery. This review evaluates current clinical and experimental evidence to det... read more
Spatial transcriptomics (ST) assays are transforming our understanding of tumor heterogeneity, but their high cost limits their application in large-scale biomarker discovery. Here, we present "Path2Space," a deep-learning model that predicts spatial... read more
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