[HTML][HTML] Deep learning for chest X-ray analysis: A survey
Recent advances in deep learning have led to a promising performance in many medical
image analysis tasks. As the most commonly performed radiological exam, chest …
image analysis tasks. As the most commonly performed radiological exam, chest …
How artificial intelligence might disrupt diagnostics in hematology in the near future
W Walter, C Haferlach, N Nadarajah, I Schmidts… - Oncogene, 2021 - nature.com
Artificial intelligence (AI) is about to make itself indispensable in the health care sector.
Examples of successful applications or promising approaches range from the application of …
Examples of successful applications or promising approaches range from the application of …
Effect of a comprehensive deep-learning model on the accuracy of chest x-ray interpretation by radiologists: a retrospective, multireader multicase study
Background Chest x-rays are widely used in clinical practice; however, interpretation can be
hindered by human error and a lack of experienced thoracic radiologists. Deep learning has …
hindered by human error and a lack of experienced thoracic radiologists. Deep learning has …
Machine learning models for predicting neonatal mortality: a systematic review
C Mangold, S Zoretic, K Thallapureddy, A Moreira… - Neonatology, 2021 - karger.com
Abstract Introduction: Approximately 7,000 newborns die every day, accounting for almost
half of child deaths under 5 years of age. Deciphering which neonates are at increased risk …
half of child deaths under 5 years of age. Deciphering which neonates are at increased risk …
Artificial intelligence in clinical oncology: from data to digital pathology and treatment
Recently, a wide spectrum of artificial intelligence (AI)–based applications in the broader
categories of digital pathology, biomarker development, and treatment have been explored …
categories of digital pathology, biomarker development, and treatment have been explored …
The future of AI and informatics in radiology: 10 predictions
CP Langlotz - Radiology, 2023 - pubs.rsna.org
evolved separately and have never worked together well. Thus, it is not surprising that
radiologists often work with disjointed system integrations and clashing user interfaces …
radiologists often work with disjointed system integrations and clashing user interfaces …
[HTML][HTML] Artificial intelligence in emergency radiology: a review of applications and possibilities
BD Katzman, CB van der Pol, P Soyer… - … and Interventional Imaging, 2023 - Elsevier
Artificial intelligence (AI) applications in radiology have been rising exponentially in the last
decade. Although AI has found usage in various areas of healthcare, its utilization in the …
decade. Although AI has found usage in various areas of healthcare, its utilization in the …
Artificial intelligence for clinical interpretation of bedside chest radiographs
Background Supine chest radiography for bedridden patients in intensive care units (ICUs)
is one of the most frequently ordered imaging studies worldwide. Purpose To evaluate the …
is one of the most frequently ordered imaging studies worldwide. Purpose To evaluate the …
Development and validation of open-source deep neural networks for comprehensive chest x-ray reading: a retrospective, multicentre study
YD Cid, M Macpherson, L Gervais-Andre… - The Lancet Digital …, 2024 - thelancet.com
Background Artificial intelligence (AI) systems for automated chest x-ray interpretation hold
promise for standardising reporting and reducing delays in health systems with shortages of …
promise for standardising reporting and reducing delays in health systems with shortages of …
Preserving fairness and diagnostic accuracy in private large-scale AI models for medical imaging
S Tayebi Arasteh, A Ziller, C Kuhl, M Makowski… - Communications …, 2024 - nature.com
Background Artificial intelligence (AI) models are increasingly used in the medical domain.
However, as medical data is highly sensitive, special precautions to ensure its protection are …
However, as medical data is highly sensitive, special precautions to ensure its protection are …