From patterns to patients: Advances in clinical machine learning for cancer diagnosis, prognosis, and treatment
Machine learning (ML) is increasingly used in clinical oncology to diagnose cancers, predict
patient outcomes, and inform treatment planning. Here, we review recent applications of ML …
patient outcomes, and inform treatment planning. Here, we review recent applications of ML …
[HTML][HTML] Bias in artificial intelligence algorithms and recommendations for mitigation
LH Nazer, R Zatarah, S Waldrip, JXC Ke… - PLOS Digital …, 2023 - journals.plos.org
The adoption of artificial intelligence (AI) algorithms is rapidly increasing in healthcare. Such
algorithms may be shaped by various factors such as social determinants of health that can …
algorithms may be shaped by various factors such as social determinants of health that can …
Explanatory classification of CXR images into COVID-19, Pneumonia and Tuberculosis using deep learning and XAI
Chest X-ray (CXR) images are considered useful to monitor and investigate a variety of
pulmonary disorders such as COVID-19, Pneumonia, and Tuberculosis (TB). With recent …
pulmonary disorders such as COVID-19, Pneumonia, and Tuberculosis (TB). With recent …
Association of artificial intelligence–aided chest radiograph interpretation with reader performance and efficiency
Importance The efficient and accurate interpretation of radiologic images is paramount.
Objective To evaluate whether a deep learning–based artificial intelligence (AI) engine used …
Objective To evaluate whether a deep learning–based artificial intelligence (AI) engine used …
Artificial intelligence: A critical review of applications for lung nodule and lung cancer
C de Margerie-Mellon, G Chassagnon - Diagnostic and Interventional …, 2023 - Elsevier
Artificial intelligence (AI) is a broad concept that usually refers to computer programs that
can learn from data and perform certain specific tasks. In the recent years, the growth of …
can learn from data and perform certain specific tasks. In the recent years, the growth of …
Can incorrect artificial intelligence (AI) results impact radiologists, and if so, what can we do about it? A multi-reader pilot study of lung cancer detection with chest …
Objective To examine whether incorrect AI results impact radiologist performance, and if so,
whether human factors can be optimized to reduce error. Methods Multi-reader design, 6 …
whether human factors can be optimized to reduce error. Methods Multi-reader design, 6 …
Collaborative strategies for deploying artificial intelligence to complement physician diagnoses of acute respiratory distress syndrome
There is a growing gap between studies describing the capabilities of artificial intelligence
(AI) diagnostic systems using deep learning versus efforts to investigate how or when to …
(AI) diagnostic systems using deep learning versus efforts to investigate how or when to …
Value creation through artificial intelligence and cardiovascular imaging: a scientific statement from the American Heart Association
Multiple applications for machine learning and artificial intelligence (AI) in cardiovascular
imaging are being proposed and developed. However, the processes involved in …
imaging are being proposed and developed. However, the processes involved in …
Comparison of commercial AI software performance for radiograph lung nodule detection and bone age prediction
Background Multiple commercial artificial intelligence (AI) products exist for assessing
radiographs; however, comparable performance data for these algorithms are limited …
radiographs; however, comparable performance data for these algorithms are limited …
Using AI to improve Radiologist performance in detection of abnormalities on chest Radiographs
S Bennani, NE Regnard, J Ventre, L Lassalle… - Radiology, 2023 - pubs.rsna.org
Background Chest radiography remains the most common radiologic examination, and
interpretation of its results can be difficult. Purpose To explore the potential benefit of …
interpretation of its results can be difficult. Purpose To explore the potential benefit of …