Results 231 to 240 of about 1,373,588 (299)

Advances in cardiac devices and bioelectronics augmented with artificial intelligence

The Journal of Physiology, EarlyView.
Abstract figure legend Interfaces between the human heart, diagnostic bioelectronics, artificial intelligence, and clinical care. From left to right: Human heart and biosensor interface; representative waveforms of common diagnostic bioelectronic sensing modalities.
Charles Stark, Eric Rytkin, Andrei Alexandru Mircea, Igor R. Efimov   +3 more
wiley   +1 more source

Two birds with one stone: pre-TAVI coronary CT angiography combined with FFR helps screen for coronary stenosis. [PDF]

BMC Med Imaging
Wang R, Pan D, Sun X, Yang G, Yao J, Shen X, Xiao W.   +6 more
europepmc   +1 more source

Haemodynamic‐energetic mechanism of sudden cardiac death in severe aortic stenosis: A modelling study

The Journal of Physiology, EarlyView.
Abstract figure legend A sudden decrease in total peripheral resistance (TPR), as observed during vasovagal syncope, leads to a reduction in aortic systolic pressure (AO pressure) and afterload. In healthy individuals, the consequent decrease in left ventricular systolic pressure (LV pressure) lowers stroke work and myocardial energy expenditure.
Martin Dvoulety, Michal Sitina
wiley   +1 more source

14‐3‐3 proteins: Regulators of cardiac excitation–contraction coupling and stress responses

The Journal of Physiology, EarlyView.
Abstract figure legend 14‐3‐3 protein interactions in cardiac regulation. Schematic representation of 14‐3‐3 binding partners in excitation–contraction coupling, transcriptional regulation/development and stress response pathways. Asterisks indicate targets where the exact 14‐3‐3 binding site is unknown.
Heather C. Spooner, Rose E. Dixon
wiley   +1 more source

Comparison of Short-Term Clinical Outcomes Between Intravascular Lithotripsy and Rotational Atherectomy for Calcified Coronary Stenosis in Patients With Acute Coronary Syndrome. [PDF]

Circ Rep
Honda Y, Nishihira K, Kuriyama N, Takamatsu M, Yamamoto K, Nishino S, Kadooka K, Kudo T, Ogata K, Kimura T, Ayabe K, Ashikaga K, Shibata Y.   +12 more
europepmc   +1 more source

The Importance of Age in Selecting a Testing Strategy for Stable Symptomatic Patients With Suspected Coronary Artery Disease

Journal of the American Geriatrics Society, EarlyView.
Evangelia Vemmou, Michelle D. Kelsey, Sreekanth Vemulapalli, Daniel B. Mark, Campbell Rogers, Sarah Mullen, Whitney Huey, Aija Caune, Karen Chiswell, Robert M. Clare, Eric Yow, Jonathon A. Leipsic, Robert A. Byrne, Nicholas Ng, Kit Pier, James E. Udelson, Pamela S. Douglas, Michael G. Nanna   +17 more
wiley   +1 more source

Energetic microdomains and the vascular control of neuronal and muscle excitability: Toward a unified model

The Journal of Physiology, EarlyView.
Abstract figure legend The capillary–mitochondria–ion channel (CMIC) axis scales structural resources to match functional workload. (Left) In settings of restricted energetic capacity (e.g. cortical neurons), sparse capillary networks and modest mitochondrial pools set a lower energetic ceiling, sufficient to support phasic, low‐workload excitability. (
L. Fernando Santana, Scott Earley
wiley   +1 more source

Benchmarking Photon-Counting Computed Tomography Angiography Against Invasive Assessment of Coronary Stenosis: Implications for Severely Calcified Coronaries. [PDF]

JACC Cardiovasc Imaging
Kotronias RA, de Maria GL, Xie C, Thomas S, Chan K, Portolan L, Langrish JP, Walsh J, Cahill TJ, Lucking AJ, Denton J, Farrall R, Taylor C, Sabharwal N, Holdsworth DA, Halborg T, Neubauer S, Banning AP, Channon KM, Antoniades C, OxAMI and ORFAN Investigators.   +20 more
europepmc   +1 more source

Association of Per- and Polyfluoroalkyl Substance Exposure with Coronary Stenosis and Prognosis in Acute Coronary Syndrome. [PDF]

Environ Health (Wash)
Li H, Yang M, Zhao J, Tan Z, Li L, An Z, Liu Y, Liu X, Zhang X, Lu J, Li A, Guo H.   +11 more
europepmc   +1 more source

Respiratory Motion‐Corrected Model‐Based 3D Water‐Fat MRA of the Thorax at 0.55 T

Magnetic Resonance in Medicine, Volume 95, Issue 6, Page 3241-3252, June 2026.
ABSTRACT Purpose The goal of this study was to develop a 5‐min 3D MRA acquisition at 0.55 T with predictable scan time, 100% data efficiency, and robust water‐fat separation. Methods For full data efficiency, the proposed method combined self‐gating with retrospective motion correction while ensuring a predictable 5‐min scan time.
Robert Stoll, Christoph Kolbitsch, Michaela Schmidt, Marcel Dominik Nickel, Tobias Schaeffter, Daniel Giese   +5 more
wiley   +1 more source