Diagnostic performance of a single breath-hold lung MRI scan with AI-powered compressed sensing for nodule detection in comparison to photon counting detector-CT - Quiz - MDSpire

Diagnostic performance of a single breath-hold lung MRI scan with AI-powered compressed sensing for nodule detection in comparison to photon counting detector-CT

  • By

  • Anna Palmisano

  • Giulia Piccinni

  • Davide Serra

  • Elisa Bruno

  • Giulio Ferrazzi

  • Davide Vignale

  • Carlo Tacchetti

  • Antonio Esposito

  • July 10, 2026

  • 0 min

Share

Original Source(s)

Diagnostic performance of a single breath-hold lung MRI scan with AI-powered compressed sensing for nodule detection in comparison to photon counting detector-CT

  • by Anna Palmisano, Giulia Piccinni, Davide Serra, Elisa Bruno, Giulio Ferrazzi, Davide Vignale, Carlo Tacchetti, Antonio Esposito

  • July 10, 2026

Related Content

Correction: miR-1323 promotes cell migration in lung adenocarcinoma by targeting Cbl-b and is an early prognostic biomarker

New AI-Enabled Technology Supports Radiology Follow-Up Throughout Baptist Health

Baptist Health Herbert Wertheim Cancer Institute has launched Eon, an AI-enabled software platform that analyzes radiology reports and helps identify and prioritize incidental findings for clinical review, in an effort to support timely, coordinated patient care.

  • by

  • July 1, 2026

  • 2 min
Innovative use of therapeutic antibodies in lung cancer: the current landscape of ADCs and other antibody-based therapies