X-ray

Medical X-rays have mostly converted from film, to computed radiography (CR) that used individual plates to record each X-ray digitally that then had to be uploaded into a PACS, to what is the standard-of-care today with digital radiography (DR). DR X-ray which allows immediate digital transfer of images into a PACS for immediate review. X-rays are used to diagnose fractures, bone abnormalities, lung pathologies and tumors, as well as monitor pediatric growth, plan for surgery and treat oncology patients during radiation therapy. More detailed anatomical imaging, especially soft tissue imaging, is usually sent for advanced imaging with CT or MRI. X-ray, especially mobile DR systems, are a primary use case for artificial intelligence (AI) integration. 

radiology trends lungs imaging graphs

Radiologists deliver fewer false-positive results than advanced AI models

A new study out of Denmark reveals humans have a definite advantage when a diagnosis requires real-world experience. 

lung cancer pulmonary nodule chest

FDA clears AI-powered software that pinpoints suspicious findings on chest X-rays

VisiRad XR was developed using curated data sets from across the globe, developer Imidex said in an announcement. 

EHR nudge helps health system drop use of unnecessary lumbar X-rays by 53%

Researchers with NYC Health + Hospitals detailed their large-scale quality improvement project in the Journal of the American College of Radiology.

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AI trained on adult data set performs adequately when turned toward pediatric population

Despite an explosion in new AI tools available to assist radiologists in their work, there remains a paucity of options in the pediatric space. 

Artificial intelligence (AI) model using chest x-rays to evaluate cardiac function

No echocardiography, no problem? AI evaluates cardiac function using chest X-rays

Researchers think their new AI model could be especially helpful in areas where qualified physicians and/or ultrasound technology are in short supply.

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X-ray-focused AI firm Gleamer raises $29.5M from venture capital firms, radiologists

The Paris, France-based artificial intelligence developer will use the money to expand its product portfolio and headcount. 

A figure from the study shows a chest radiograph with an area of consolidation involving right lower lung consistent with pneumonia, as well as right pleural effusion. The deep-learning model predicted risk of 30-day mortality of 9%. Right: Gradient- weighted class activation map shows that model prediction was influenced by separate area of image corresponding with heart and liver (yellow and light blue colors). Patient’s CURB-65 score was 4. Patient recovered from pneumonia and remained alive. AJR Image

Deep learning predicts pneumonia mortality on chest X-rays

AI was able to predict 30-day mortality risk predictions more accurately that the current risk assessment.

carestream

Moody’s downgrades radiology vendor Carestream, citing ‘weaker than expected’ performance after exiting bankruptcy

The Rochester, New York, manufacturer first filed for chapter 11 in August, seeking to wipe out $470M in debt.