Kunwei Li

TL;DR: In this retrospective case series, chest CT scans of 21 symptomatic patients from China infected with the 2019 novel coronavirus were reviewed, with emphasis on identifying and characterizing the most common findings.

TL;DR: With a longer time after the onset of symptoms, CT findings were more frequent, including consolidation, bilateral and peripheral disease, greater total lung involvement, linear opacities, “crazy-paving” pattern and the “reverse halo” sign.

TL;DR: Artificial intelligence algorithms integrating chest CT findings with clinical symptoms, exposure history and laboratory testing to rapidly diagnose patients who are positive for COVID-19 with similar accuracy as compared to a senior radiologist.

TL;DR: Artificial intelligence algorithms are used to integrate chest CT findings with clinical symptoms, exposure history, and laboratory testing to rapidly diagnose COVID-19 positive patients and improved the detection of RT-PCR positive CO VID-19 patients who presented with normal CT scans.

TL;DR: CT-based clinico-radiological features can provide an important reference for the accurate fine-grained assessment of illness severity using machine learning to achieve the early triage of COVID-19 patients.