A research paper by scientists from Beihang University proposed a machine learning (ML)-driven cerebral blood flow (CBF) prediction model, featuring multimodal imaging data integration and an ...

Neuroimaging provides a means for identifying and measuring the structure and function of the brain. Different non-invasive imaging measurements reveal different characteristics of the nervous system, ...

Multimodal imaging, including OCT and FAF, is crucial for differentiating between AMD and IRDs, enabling precise diagnosis.

Autism spectrum disorder (ASD) is a growing global concern, affecting approximately 2.8% of children in the United States and 0.7% in China. ASD is characterized by challenges in social interaction, ...

Today at the San Antonio Breast Cancer Symposium (SABCS), researchers presented the initial findings from a major multi-year collaboration between the ECOG-ACRIN Cancer Research Group (ECOG-ACRIN) and ...

Each imaging modality offers unique diagnostic strengths. While invasive coronary angiography remains first-line, ...

Abstract: Advancing Multimodal AI for Integrated Understanding and Generation explores the transformative potential of multimodal artificial intelligence (AI), which integrates diverse data types such ...

Rutgers researchers found that the distribution of neural timescales across the cortex plays a crucial role in how ...

View Heidelberg Engineering’s latest innovations in ophthalmic imaging for research, clinical practice, and ophthalmic surgery at the ARVO 2025 Annual Meeting May 4-8 in Salt Lake City, Utah.