Articles filtered by author Ledikhova N.V..
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MD&IT №1 2022
The rationale for use of artificial intelligence (AI) in radiology departments to analyze medical images in real-life clinical practice was studied in a multicenter prospective trial. This was a part of the “Experiment on the use of innovative technologies in the field of computer vision for the analysis of medical images and further use in the healthcare system of Moscow” taking place in 2020. The trial included 18 different AI systems and 538 participating radiologists, all working wit...
MD&IT №3 2021
The dynamic development of diagnostic radiology requires updating its approaches to resource management, as well as revising outdated time standards. The purpose of the study is to determine a turnaround time for reporting results of radiological examinations in primary health care for the formation of time standards. Material and Methods. The analytical (elementwise) method of labour rationing was used. The research included image interpretation and writing CT scan reports, image interp...
MD&IT №6 2020
Speech recognition technology was tested to prepare protocols for radiological examinations. A method to evaluate the efficiency of speech recognition technology implementation for the preparation of radiological examination protocols has been developed. A time-study was conducted to confirm the effectiveness of voice input. The commitment of radiologist to using innovative technologies in their work practices was evaluated.
MD&IT №4 2020
Backgroun d. In 2019, the Moscow Government decided to conduct a large-scale scientific research – the Experiment on the use of innovative computer vision technologies for medical image analysis and subsequent applicability in the healthcare system of Moscow (www.mosmed.ai). Objective – analyze engagement, attitudes and feedback from doctors-radiologists in frame of the Experiment. Materials and methods. The Experiment is a prospective research approved by the Independent Ethics Committe...