November 22, 2023 — Canon Medical Components USA (CMCU) - Digital Radiography (DR), global leaders in advanced flat panel detectors (FPDs), X-ray components, X-ray tubes, and innovative imaging software, introduces a clinical white paper,

November 22, 2023 — Using a routine chest X-ray image, an artificial intelligence (AI) tool can identify non-smokers who are at high risk for lung cancer, according to a study being presented next week at the annual meeting of the Radiological Society of North America (RSNA).

November 22, 2023 — People with long COVID exhibit patterns of changes in the brain that are different from fully recovered COVID-19 patients, according to research being presented next week at the annual meeting of the Radiological Society of North America (RSNA).

November 22, 2023 — Lung cancer survival rates are improving for everyone, including people of color, according to the American Lung Association’s 2023 “State of Lung Cancer” report. Notably, the five-year lung cancer survival rate for people of color has increased by 17% in the last two years, helping close the health disparity gap.

November 21, 2023 — Heuron, a medical AI (artificial intelligence) imaging software solution company, under the leadership of CEO Dr. Donghoon Shin, is scheduled to take part

November 21, 2023 — A groundbreaking solution for osteoporosis screening has been announced by medical X-ray technology pioneer IBEX Innovations Ltd. 

The Sedgefield, UK-headquartered company’s IBEX Bone Health (BH) technology will now be integrated into DensityScan, an advanced AI-driven workflow for Agfa Radiology Solutions’ DR X-ray equipment. 

November 21, 2023 — GE HealthCare has received U.S. FDA 510(k) Clearance for the new version of Digital Expert Access with remote scanning, the first remote patient scan solution with 510(k) Clearance. Digital Expert Access enables the sharing of expertise, best practices, and in-the-moment advice, as well as real-time, remote console control.

November 21, 2023 — A newly developed artificial intelligence (AI) system that analyzes specialized MRIs of the brain accurately diagnosed children between the ages of 24 and 48 months with autism at a 98.5% accuracy rate, according to research being presented next week at the annual meeting of the Radiological Society of North America (RSNA).

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