Evidence suggests that deep-learning systems show great potential for the detection of lesions and pattern classification on chest radiographs. Scientists did comparative research for both the radiologists and a deep-learning system.
In their discussion, the authors suggested that the study showed the potential for deep-learning to improve chest X-ray interpretation across a wide range of clinical findings and concluded that further work is underway to confirm the applicability of the model as an efficient diagnostic tool in clinical practice as opposed to a substitute for radiologists.
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