过去一年中添加的文章,按日期排序

Performance evaluation of artificial intelligence in detection of breast cancer on PET/CT

Y Ma - 2024 - Soc Nuclear Med
24 天前 - … shortened the time for radiologists to read images. However, the … McNemar test and
Mann-Whitney U test were used to … The detection rate of combined method was 3.3% higher …

Deep learning features based on 18F-FDG PET/CT to predict preoperative colorectal cancer lymph node metastasis

H Wang, J Zhang, Y Li, D Wang, T Zhang, F Yang, Y Li… - Clinical Radiology, 2024 - Elsevier
29 天前 - … , with an additional 33 external data points for testing. Initially, we conducted … Finally,
we developed nomograms combining clinical and … We also performed a T-test and feature …

[HTML][HTML] Estimating the volume of penumbra in rodents using DTI and stack-based ensemble machine learning framework

DP Kuo, YC Chen, YT Li, SJ Cheng, KLC Hsieh… - European Radiology …, 2024 - Springer
41 天前 - test was conducted to determine whether the performance of the stacking model
was significantly superior to that of the individual base models during the testingcombination

[PDF][PDF] Artificial Intelligence (AI) for Embryo Ranking and its Use in Human Assisted Reproduction

A Chavez Badiola - 2024 - kar.kent.ac.uk
49 天前 - … The most likely combination of modalities to achieve scalability and improved access
evaluation, including diagnosis, laboratory testing for ovarian reserve, and any radiologic

Protocol for evaluating the fitness for purpose of an artificial intelligence product for radiology reporting in the BreastScreen New South Wales breast cancer screening …

M Warner-Smith, K Ren, C Mistry, R Walton, D Roder… - BMJ open, 2024 - bmjopen.bmj.com
55 天前 - … detection rates of combined AI–radiologist reading will be … of assessing real-world
performance of machine reading … use of an existing read as the adjudicating read, this study …

[HTML][HTML] Artificial Intelligence in Oral Medicine and Radiology

S Dhiman, S Sharma, R Mehta - J Oral Med and Dent Res, 2024 - genesispub.org

Development and Validation of a Computed Tomography-Based Radiomics Nomogram for the Preoperative Prediction of Central Lymph Node Metastasis in Papillary …

Y Mou, X Han, J Li, P Yu, C Wang, Z Song, X Wang… - … Radiology, 2024 - Elsevier
200 天前 - … After screening for features, five algorithms such as K-nearest … using a linear
combination of the selected features. By … and radiologist’s interpretation in the internal test set. …

[HTML][HTML] Reproducibility and explainability of deep learning in mammography: A systematic review of literature

D Bhalla, K Rangarajan, T Chandra… - … Journal of Radiology …, 2023 - thieme-connect.com
259 天前 - … when combined radiologist and Artificial Intelligence readings … In this review, we
attempt to assess currently available … of screening studies, as an aid to reporting radiologists, or …

[PDF][PDF] Leveraging Technology for Enhancing Medical Research in Healthcare

S Kant - International Journal of Research Foundation of …, 2023 - jrfhha.com
285 天前 - … , created by combining the threedimensional virtual model produced from preoperative
radiologic images (CT … Artificial intelligence is based on the idea that it can mimic human …

Differences and similarities in false interpretations by AI CAD and radiologists in screening mammography

M Salim, K Dembrower, M Eklund… - … Journal of Radiology, 2023 - academic.oup.com
295 天前 - … a high accuracy of artificial intelligence computer-aided … Therefore, we aimed to
evaluate the false assessments in … -reading simulation where we combine AI CAD with RAD 1 …