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For clinically actionable pneumothorax, an artificial intelligence algorithm demonstrated a 93 percent AUC and a 96 percent specificity rate in a study involving chest X-rays from over 27,000 adults.

KA Imaging President and Chief Executive Officer Amol Karnick and Chief Technology Officer Karim S. Karim, Ph.D., offer insights into current X-ray imaging trends, as well as opportunities for innovation.

The AI-enabled software Rayvolve reportedly demonstrated a 96 percent sensitivity rate for diagnosing pediatric fractures in a recent study involving 3,000 patients.

New research suggests the use of an AI software may help rule out pathology on over 50 percent of unremarkable chest X-rays with a 98 percent sensitivity threshold.

At a 90 percent threshold for sensitivity, Lunit’s Insight CXR and the Nexus CXR software from Nexus demonstrated the highest specificity rates for tuberculosis (TB) detection in a patient population with a high prevalence of TB and HIV.

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