According to a study published in Radiology, a journal of the Radiological Society of North America (RSNA), assistance from an artificial intelligence (AI) algorithm with high diagnostic accuracy improved radiologist performance in detecting lung cancers on chest X-rays and increased human acceptance of AI suggestions.
The study revealed that while AI-based image diagnosis has advanced rapidly in the medical field, the factors affecting radiologists’ diagnostic determinations in AI-assisted image reading remain underexplored.
Researchers at Seoul National University looked at how these factors might influence the detection of malignant lung nodules during AI-assisted reading of chest X-rays.
“It is possible that the relatively large sample size in this study bolstered readers’ confidence in the AI’s suggestions,” said study lead author Chang Min Park, MD, PhD, from the Department of Radiology and Institute of Radiation Medicine at Seoul National University College of Medicine.
“We think this issue of human trust in AI is what we observed in the susceptibility in this study: humans are more susceptible to AI when using high diagnostic performance AI.”
Source: Qatar News Agency
