This paper is in the following e-collection/theme issue:

Review (5) Clinical Information and Decision Making (1636) Machine Learning (1719) Decision Support for Health Professionals (1334) Artificial Intelligence (1704) JMIR Theme Issue: COVID-19 Special Issue (2493)

Published on in Vol 3, No 1 (2022): Jan-Dec

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/40473, first published .
Use of Artificial Intelligence in the Search for New Information Through Routine Laboratory Tests: Systematic Review

Use of Artificial Intelligence in the Search for New Information Through Routine Laboratory Tests: Systematic Review

Use of Artificial Intelligence in the Search for New Information Through Routine Laboratory Tests: Systematic Review

Authors of this article:

Glauco Cardozo1 Author Orcid Image ;   Salvador Francisco Tirloni2 Author Orcid Image ;   Antônio Renato Pereira Moro2 Author Orcid Image ;   Jefferson Luiz Brum Marques2 Author Orcid Image
Article Authors Cited by (5) Tweetations (2) Metrics

Journals

  1. Huang W, Huang D, Ding Y, Yu C, Wang L, Lv N, Qu J, Lu H. Clinical application of intelligent technologies and integration in medical laboratories. iLABMED 2023;1(1):82 View
  2. Ovchinnikova M, Zhilenkova Y, Chernysh N. Аpplication of Big Data in laboratory medicine. Russian Journal for Personalized Medicine. Russian Journal for Personalized Medicine 2023;3(4):77 View
  3. Baik S, Hong K, Lee J, Park D. Integrating ensemble and machine learning models for early prediction of pneumonia mortality using laboratory tests. Heliyon 2024;10(14):e34525 View

Books/Policy Documents

  1. Mak K, Wong Y, Pichika M. Drug Discovery and Evaluation: Safety and Pharmacokinetic Assays. View
  2. Mak K, Wong Y, Pichika M. Drug Discovery and Evaluation: Safety and Pharmacokinetic Assays. View