Detection of subclinical atherosclerosis by image-based deep learning on chest x-ray

no code implementations • 27 Mar 2024 • Guglielmo Gallone, Francesco Iodice, Alberto Presta, Davide Tore, Ovidio de Filippo, Michele Visciano, Carlo Alberto Barbano, Alessandro Serafini, Paola Gorrini, Alessandro Bruno, Walter Grosso Marra, James Hughes, Mario Iannaccone, Paolo Fonio, Attilio Fiandrotti, Alessandro Depaoli, Marco Grangetto, Gaetano Maria de Ferrari, Fabrizio D'Ascenzo

A deep-learning algorithm to predict coronary artery calcium (CAC) score (the AI-CAC model) was developed on 460 chest x-ray (80% training cohort, 20% internal validation cohort) of primary prevention patients (58. 4% male, median age 63 [51-74] years) with available paired chest x-ray and chest computed tomography (CT) indicated for any clinical reason and performed within 3 months.

Computed Tomography (CT)

Weave Realizability for D-type

no code implementations • 25 Jan 2021 • James Hughes

In particular, we show that in $D$-type, each cluster chart of the moduli of microlocal rank-1 sheaves is induced by at least one embedded exact Lagrangian filling.

Symplectic Geometry Combinatorics Geometric Topology 53D12, 57K33

Identifying Patients with Pain in Emergency Departments using Conventional Machine Learning and Deep Learning

no code implementations • ALTA 2019 • Thanh Vu, Anthony Nguyen, Nathan Brown, James Hughes

Pain is the main symptom that patients present with to the emergency department (ED).

BIG-bench Machine Learning Management