GLEAMER’s BoneView, an artificial intelligence system, when combined with health professionals’ interpretations, lowered the false negative rate (undetected fractures) on radiographs by 30%.
The clinical study evaluated BoneView on assisting radiologists and emergency physicians to detect and localise appendicular skeletal fractures, and has been published in the journal Radiology.
This is a validation from the scientific community of the quality and robustness of the study.
BoneView allowed a gain in sensitivity (12% increase) and specificity (5% increase) per patient, without loss of reading speed, on exams specifically selected for their difficulty.
Christian Allouche, CEO and Co-Founder of GLEAMER said: “We are delighted and proud of the publication in ‘Radiology’ of our ambitious clinical study with BoneView, whose results are unequivocal on the benefits of the cross-interpretation of AI and the physician: 30% decrease in the rate of undetected fractures, while reducing the radiographs reading time by 15%, on exams specifically selected for their difficulty, i.e. with so-called non-obvious fractures.
“In 10 years, the number of exams to be analysed by radiologists has doubled, while the number of radiologists has increased by only 20%. We are continuing our developments to improve and enrich our range of artificial intelligence software to progressively automate the diagnosis of standard radiography to ensure very high reliability of the examination and optimal patient care.”
Dr Loïc Duron, Radiologist at the Adolphe de Rothschild Foundation Hospital said: “To our knowledge, this is the first study that evaluates the performance of AI-assisted reading for radiographic fracture detection over the entire appendicular skeleton and on multicenter data, from a variety of imaging systems, some of which were not present in the training database.”
Professor Antoine Feydy, Osteoarticular Radiologist at Cochin Hospital said: “This study is the result of significant collaborative work between specialists in radiology, data science, biostatistics, and GLEAMER teams to evaluate the clinical performance of BoneView.
“This is an important step that quantifies and scientifically validates the benefits of this AI solution available to healthcare institutions, in a context where several solutions are marketed without published objective results.”
The help of AI improves the diagnostic performance of radiologists and emergency physicians, which will allow better patient management from their first imaging examination. Among the expected consequences, the help of AI should improve the specificity of the complementary exams prescribed after the radiography, to avoid delays in care, and to direct patients into the right therapeutic pathway.
Lilly Subbotin
This is a syndicated feed from Pharmafile
