Bio-medical imaging (X-ray, CT, ultrasound, ECG), genome sequences applications of deep neural network and machine learning in diagnosis, detection …

YH Bhosale, KS Patnaik - Multimedia Tools and Applications, 2023 - Springer
This review investigates how Deep Machine Learning (DML) has dealt with the Covid-19
epidemic and provides recommendations for future Covid-19 research. Despite the fact that …

[HTML][HTML] Deep learning framework for rapid and accurate respiratory COVID-19 prediction using chest X-ray images

CC Ukwuoma, D Cai, MBB Heyat, O Bamisile… - Journal of King Saud …, 2023 - Elsevier
COVID-19 is a contagious disease that affects the human respiratory system. Infected
individuals may develop serious illnesses, and complications may result in death. Using …

MTSS-AAE: Multi-task semi-supervised adversarial autoencoding for COVID-19 detection based on chest X-ray images

Z Ullah, M Usman, J Gwak - Expert Systems with Applications, 2023 - Elsevier
Efficient diagnosis of COVID-19 plays an important role in preventing the spread of the
disease. There are three major modalities to diagnose COVID-19 which include polymerase …

Densely attention mechanism based network for COVID-19 detection in chest X-rays

Z Ullah, M Usman, S Latif, J Gwak - Scientific Reports, 2023 - nature.com
Automatic COVID-19 detection using chest X-ray (CXR) can play a vital part in large-scale
screening and epidemic control. However, the radiographic features of CXR have different …

Medical transformer for multimodal survival prediction in intensive care: integration of imaging and non-imaging data

F Khader, JN Kather, G Müller-Franzes, T Wang… - Scientific Reports, 2023 - nature.com
When clinicians assess the prognosis of patients in intensive care, they take imaging and
non-imaging data into account. In contrast, many traditional machine learning models rely …

An XAI approach for COVID-19 detection using transfer learning with X-ray images

S Sarp, FO Catak, M Kuzlu, U Cali, H Kusetogullari… - Heliyon, 2023 - cell.com
Abstract The coronavirus disease (COVID-19) has continued to cause severe challenges
during this unprecedented time, affecting every part of daily life in terms of health …

Ultra-low-dose CT versus chest X-ray for patients suspected of pulmonary disease at the emergency department: a multicentre randomised clinical trial

IAH van den Berk, MMNP Kanglie, TSR van Engelen… - Thorax, 2023 - thorax.bmj.com
Background Chest CT displays chest pathology better than chest X-ray (CXR). We evaluated
the effects on health outcomes of replacing CXR by ultra-low-dose chest-CT (ULDCT) in the …

The yield of chest X-ray or ultra-low-dose chest-CT in emergency department patients suspected of pulmonary infection without respiratory symptoms or signs

IAH van den Berk, EH Lejeune, MMNP Kanglie… - European …, 2023 - Springer
Objective The yield of pulmonary imaging in patients with suspected infection but no
respiratory symptoms or signs is probably limited, ultra-low-dose CT (ULDCT) is known to …

Imaging in patients with acute dyspnea when cardiac or pulmonary origin is suspected

RI Milos, C Bartha, S Röhrich, BH Heidinger… - BJR| Open, 2023 - academic.oup.com
A wide spectrum of conditions, from life-threatening to non-urgent, can manifest with acute
dyspnea, thus presenting major challenges for the treating physician when establishing the …

Ultra-low-dose CT vs. chest X-ray in non-traumatic emergency department patients–a prospective randomised crossover cohort trial

C Wassipaul, K Janata-Schwatczek… - …, 2023 - thelancet.com
Background Ultra-low-dose CT (ULDCT) examinations of the chest at only twice the
radiation dose of a chest X-ray (CXR) now offer a valuable imaging alternative to CXR. This …