Enhancing quantitative coronary angiography (QCA) with advanced artificial intelligence: comparison with manual QCA and visual estimation.

Artificial intelligence-based quantitative coronary angiography (AI-QCA) was introduced to address manual QCA's limitations in reproducibility and correction process. The present study aimed to assess the performance of an updated AI-QCA solution (MPXA-2000) in lesion detection and quantification using manual QCA as the reference standard, and to demonstrate its superiority over visual estimation. This multi-center retrospective study analyzed 1,076 coronary angiography images obtained from 420 patients, comparing AI-QCA and visual estimation against manual QCA as the reference standard.

Fundus Photography-Based Distribution of Retinal Hemorrhages in Newborns: Implications for Underlying Mechanisms.

The aim of this study was to investigate the locational distribution and potential mechanisms of retinal hemorrhages in newborns using fundus photography. A retrospective analysis of 98 consecutive newborns with retinal hemorrhages in at least one eye and 30 control newborns without retinal hemorrhages after uneventful delivery was conducted. Retinal hemorrhages were diagnosed and characterized using fundus photography and indirect ophthalmoscopy.

Two Steps Li Ion Storage Mechanism in Ruddlesden-Popper LiLaTiO.

Innovative anode materials are essential for achieving high-energy-density lithium-ion batteries (LIBs) with longer lifetimes. Thus far, only a few studies have explored the use of layered perovskite structures as LIB anode materials. In this study, the study demonstrates the performance and charge/discharge mechanism of the previously undefined Ruddlesden-Popper Li₂La₂Ti₃O₁₀ (RPLLTO) as an anode material for LIBs.

Characterization of an Unexpected μ Adsorption of Molecular Oxygen on Ag(100) with Low-Temperature STM.

Precise description of the interaction between molecular oxygen and metal surfaces is one of the most challenging topics in quantum chemistry. In this work, we use low-temperature scanning tunneling microscopy (STM) to identify and characterize an adsorption state of molecular oxygen that coordinates to three Ag atoms (μ) on Ag(100). Surprisingly, μ-O cannot be identified as a stable configuration with generalized gradient approximation (GGA)-level density functional theory (DFT) calculations.