Literature DB >> 31022391

Data science, artificial intelligence, and machine learning: Opportunities for laboratory medicine and the value of positive regulation.

Damien Gruson1, Thibault Helleputte2, Patrick Rousseau3, David Gruson4.   

Abstract

Artificial intelligence (AI) and data science are rapidly developing in healthcare, as is their translation into laboratory medicine. Our review article presents an overview of the data science domain while discussing the reasons for its emergence. We also present several perspectives of its applications in clinical laboratories, along with potential ethical challenges related to AI and data science.
Copyright © 2019 The Canadian Society of Clinical Chemists. Published by Elsevier Inc. All rights reserved.

Keywords:  Artificial intelligence; Big data; Biomarker; Deep learning; Ethics; Health; Machine learning

Mesh：

Year:  2019        PMID： 31022391     DOI： 10.1016/j.clinbiochem.2019.04.013

Source DB:  PubMed          Journal:  Clin Biochem        ISSN： 0009-9120            Impact factor:   3.281


  16 in total

Review 1.  Gut microbiome, big data and machine learning to promote precision medicine for cancer.

Authors:  Giovanni Cammarota; Gianluca Ianiro; Anna Ahern; Carmine Carbone; Andriy Temko; Marcus J Claesson; Antonio Gasbarrini; Giampaolo Tortora
Journal:  Nat Rev Gastroenterol Hepatol       Date:  2020-07-09       Impact factor: 46.802

2.  Predicting Abnormal Laboratory Blood Test Results in the Intensive Care Unit Using Novel Features Based on Information Theory and Historical Conditional Probability: Observational Study.

Authors:  Camilo E Valderrama; Daniel J Niven; Henry T Stelfox; Joon Lee
Journal:  JMIR Med Inform       Date:  2022-06-03

3.  The Value of Artificial Intelligence in Laboratory Medicine.

Authors:  Ketan Paranjape; Michiel Schinkel; Richard D Hammer; Bo Schouten; R S Nannan Panday; Paul W G Elbers; Mark H H Kramer; Prabath Nanayakkara
Journal:  Am J Clin Pathol       Date:  2021-05-18       Impact factor: 2.493

4.  Artificial intelligence and multi agent based distributed ledger system for better privacy and security of electronic healthcare records.

Authors:  Fahad F Alruwaili
Journal:  PeerJ Comput Sci       Date:  2020-11-30

Review 5.  Digital microbiology.

Authors:  A Egli; J Schrenzel; G Greub
Journal:  Clin Microbiol Infect       Date:  2020-06-27       Impact factor: 8.067

Review 6.  Sustainability in Healthcare: Perspectives and Reflections Regarding Laboratory Medicine.

Authors:  Aroa Molero; Michele Calabrò; Maguelone Vignes; Bernard Gouget; Damien Gruson
Journal:  Ann Lab Med       Date:  2021-03-01       Impact factor: 3.464

7.  Artificial intelligence in hospitals: providing a status quo of ethical considerations in academia to guide future research.

Authors:  Milad Mirbabaie; Lennart Hofeditz; Nicholas R J Frick; Stefan Stieglitz
Journal:  AI Soc       Date:  2021-06-28

8.  Correspondence: Importance of the validated serum biochemistry and hemogram parameters for rapid diagnosis and to prevent false negative results during COVID-19 pandemic.

Authors:  Duygu Aydemir; Nuriye Nuray Ulusu
Journal:  Biotechnol Appl Biochem       Date:  2020-05-21       Impact factor: 2.724

Review 9.  Restructured society and environment: A review on potential technological strategies to control the COVID-19 pandemic.

Authors:  Rajvikram Madurai Elavarasan; Rishi Pugazhendhi
Journal:  Sci Total Environ       Date:  2020-04-23       Impact factor: 7.963

10.  Artificial intelligence with multi-functional machine learning platform development for better healthcare and precision medicine.

Authors:  Zeeshan Ahmed; Khalid Mohamed; Saman Zeeshan; XinQi Dong
Journal:  Database (Oxford)       Date:  2020-01-01       Impact factor: 3.451
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