Rethinking Algorithm Performance Metrics for Artificial Intelligence in Diagnostic Medicine.
作者信息
Reyna Matthew A, Nsoesie Elaine O, Clifford Gari D
机构信息
Department of Biomedical Informatics, Emory University, Atlanta, Georgia.
Department of Global Health, School of Public Health, Boston University, Boston, Massachusetts.
出版信息
JAMA. 2022 Jul 26;328(4):329-330. doi: 10.1001/jama.2022.10561.
Abstract
摘要
相似文献
1
Rethinking Algorithm Performance Metrics for Artificial Intelligence in Diagnostic Medicine.
JAMA. 2022 Jul 26;328(4):329-330. doi: 10.1001/jama.2022.10561.
2
Basic Artificial Intelligence Techniques: Evaluation of Artificial Intelligence Performance.
Radiol Clin North Am. 2021 Nov;59(6):941-954. doi: 10.1016/j.rcl.2021.06.005.
3
The Real Era of the Art of Medicine Begins with Artificial Intelligence.
J Med Internet Res. 2019 Nov 18;21(11):e16295. doi: 10.2196/16295.
4
Comparison of Chest Radiograph Interpretations by Artificial Intelligence Algorithm vs Radiology Residents.
JAMA Netw Open. 2020 Oct 1;3(10):e2022779. doi: 10.1001/jamanetworkopen.2020.22779.
5
Artificial Intelligence Algorithm Detecting Lung Infection in Supine Chest Radiographs of Critically Ill Patients With a Diagnostic Accuracy Similar to Board-Certified Radiologists.
Crit Care Med. 2020 Jul;48(7):e574-e583. doi: 10.1097/CCM.0000000000004397.
6
The testing of AI in medicine is a mess. Here's how it should be done.
Nature. 2024 Aug;632(8026):722-724. doi: 10.1038/d41586-024-02675-0.
7
Performance Metrics, Algorithms, and Applications of Artificial Intelligence in Vascular and Interventional Neurology: A Review of Basic Elements.
Neurol Clin. 2024 Aug;42(3):633-650. doi: 10.1016/j.ncl.2024.03.001. Epub 2024 May 18.
8
An Innovative Artificial Intelligence-Based App for the Diagnosis of Gestational Diabetes Mellitus (GDM-AI): Development Study.
J Med Internet Res. 2020 Sep 15;22(9):e21573. doi: 10.2196/21573.
9
Artificial intelligence for diagnosing exudative age-related macular degeneration.
Cochrane Database Syst Rev. 2024 Oct 17;10(10):CD015522. doi: 10.1002/14651858.CD015522.pub2.
10
Emerging role of deep learning-based artificial intelligence in tumor pathology.
Cancer Commun (Lond). 2020 Apr;40(4):154-166. doi: 10.1002/cac2.12012. Epub 2020 Apr 11.
引用本文的文献
1
Development and prospective implementation of a large language model based system for early sepsis prediction.
NPJ Digit Med. 2025 May 17;8(1):290. doi: 10.1038/s41746-025-01689-w.
2
Rethinking clinical trials for medical AI with dynamic deployments of adaptive systems.
NPJ Digit Med. 2025 May 6;8(1):252. doi: 10.1038/s41746-025-01674-3.
3
Development and Prospective Implementation of a Large Language Model based System for Early Sepsis Prediction.
medRxiv. 2025 Mar 11:2025.03.07.25323589. doi: 10.1101/2025.03.07.25323589.
4
Effect of computer aided detection system on esophageal neoplasm diagnosis in varied levels of endoscopists.
NPJ Digit Med. 2025 Mar 13;8(1):160. doi: 10.1038/s41746-025-01532-2.
5
The Value of Clinical Decision Support in Healthcare: A Focus on Screening and Early Detection.
Diagnostics (Basel). 2025 Mar 6;15(5):648. doi: 10.3390/diagnostics15050648.
6
A Survey on Blood Pressure Measurement Technologies: Addressing Potential Sources of Bias.
Sensors (Basel). 2024 Mar 7;24(6):1730. doi: 10.3390/s24061730.
7
Bioprinting Soft 3D Models of Hematopoiesis using Natural Silk Fibroin-Based Bioink Efficiently Supports Platelet Differentiation.
Adv Sci (Weinh). 2024 May;11(18):e2308276. doi: 10.1002/advs.202308276. Epub 2024 Mar 21.
8
Clinical data mining: challenges, opportunities, and recommendations for translational applications.
J Transl Med. 2024 Feb 20;22(1):185. doi: 10.1186/s12967-024-05005-0.
9
Heart murmur detection from phonocardiogram recordings: The George B. Moody PhysioNet Challenge 2022.
PLOS Digit Health. 2023 Sep 11;2(9):e0000324. doi: 10.1371/journal.pdig.0000324. eCollection 2023 Sep.
10
Racial and Ethnic Bias in Risk Prediction Models for Colorectal Cancer Recurrence When Race and Ethnicity Are Omitted as Predictors.
JAMA Netw Open. 2023 Jun 1;6(6):e2318495. doi: 10.1001/jamanetworkopen.2023.18495.
本文引用的文献
1
Issues in the automated classification of multilead ecgs using heterogeneous labels and populations.
Physiol Meas. 2022 Aug 26;43(8). doi: 10.1088/1361-6579/ac79fd.
2
Diagnostic Excellence.
JAMA. 2021 Nov 16;326(19):1905-1906. doi: 10.1001/jama.2021.19493.
3
Classification of 12-lead ECGs: the PhysioNet/Computing in Cardiology Challenge 2020.
Physiol Meas. 2021 Jan 1;41(12):124003. doi: 10.1088/1361-6579/abc960.
4
Early Prediction of Sepsis From Clinical Data: The PhysioNet/Computing in Cardiology Challenge 2019.
Crit Care Med. 2020 Feb;48(2):210-217. doi: 10.1097/CCM.0000000000004145.
5
Evaluating Artificial Intelligence Applications in Clinical Settings.
JAMA Netw Open. 2018 Sep 7;1(5):e182658. doi: 10.1001/jamanetworkopen.2018.2658.
Zotero 插件