Decision support algorithm using machine learning for the diagnosis of pulmonary embolism on chest X-ray

Verdi, E B; Kaya, A Gurun; Karacin, A Bostanoglu; Ayoz, S; Kaya, A

doi:10.1183/13993003.congress-2022.2371

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Ai and Machine Learning1

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2023

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“…Three types of AI were presented in the session for three distinct purposes: diagnosis, classification, and prediction. Chest X-rays were used as the input to the AI algorithm to diagnosis pulmonary embolism [82] and detect pneumothorax, airspace opacity, and mass or nodule [83,84]. Verdi et al (Ankara, Turkey) used deep learning and multi-centre datasets in a pneumothorax detection algorithm (PDA-alpha) to improve the model generalisability [83].…”

Section: Ai and Machine Learningmentioning

confidence: 99%

ERS International Congress 2022: highlights from the Respiratory Clinical Care and Physiology Assembly

et al. 2023

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It is a challenge to keep abreast of all the clinical and scientific advances in the field of respiratory medicine. This article contains an overview of laboratory-based science, clinical trials and qualitative research that were presented during the 2022 European Respiratory Society International Congress within the sessions from the five groups of the Assembly 1 – Respiratory clinical care and physiology. Selected presentations are summarised from a wide range of topics: clinical problems, rehabilitation and chronic care, general practice and primary care, electronic/mobile health (e-health/m-health), clinical respiratory physiology, exercise and functional imaging.

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