Harnessing computational tools of the digital era for enhanced infection control.
Journal
BMC medical informatics and decision making
ISSN: 1472-6947
Titre abrégé: BMC Med Inform Decis Mak
Pays: England
ID NLM: 101088682
Informations de publication
Date de publication:
12 Sep 2024
12 Sep 2024
Historique:
received:
22
05
2024
accepted:
23
08
2024
medline:
13
9
2024
pubmed:
13
9
2024
entrez:
12
9
2024
Statut:
epublish
Résumé
This paper explores the potential of artificial intelligence, machine learning, and big data analytics in revolutionizing infection control. It addresses the challenges and innovative approaches in combating infectious diseases and antimicrobial resistance, emphasizing the critical role of interdisciplinary collaboration, ethical data practices, and integration of advanced computational tools in modern healthcare.
Identifiants
pubmed: 39267022
doi: 10.1186/s12911-024-02650-9
pii: 10.1186/s12911-024-02650-9
doi:
Types de publication
Journal Article
Editorial
Langues
eng
Sous-ensembles de citation
IM
Pagination
252Informations de copyright
© 2024. The Author(s).
Références
Hossain E, Rana R, Higgins N, Soar J, Barua PD, Pisani AR, Turner K. Natural language processing in electronic health records in relation to healthcare decision-making: a systematic review. Comput Biol Med. 2023;155:106649.
doi: 10.1016/j.compbiomed.2023.106649
pubmed: 36805219
Chen X, Xie H, Cheng G, Poon LK, Leng M, Wang FL. Trends and features of the applications of natural language processing techniques for clinical trials text analysis. Appl Sci. 2020;10(6):2157.
doi: 10.3390/app10062157
Chang Y, Wang X, Wang J, Wu Y, Yang L, Zhu K, Chen H, Yi X, Wang C, Wang Y, Ye W. A survey on evaluation of large language models. ACM Trans Intell Syst Technol. 2024;15(3):1–45.
doi: 10.1145/3641289
Deiner MS, Deiner NA, Hristidis V, McLeod SD, Doan T, Lietman TM, Porco TC. Use of large Language models to assess the likelihood of Epidemics from the content of tweets: Infodemiology Study. J Med Internet Res. 2024;26:e49139.
doi: 10.2196/49139
pubmed: 38427404
pmcid: 10943433
Kwok KO, Huynh T, Wei WI, Samuel YS, Arthur Rileys. TA. Utilizing large Language models in Infectious Disease Transmission Modelling for Public Health Preparedness. Comput Struct Biotechnol J. 2024 Aug 8.
Branda F. The impact of artificial intelligence in the fight against antimicrobial resistance. Infect Dis. 2024;56(6):484–6.
doi: 10.1080/23744235.2024.2331255
Branda F. Implications of Artificial Intelligence in addressing Antimicrobial Resistance: innovations, Global challenges, and Healthcare’s future. Antibiotics. 2024;13(6):502.
doi: 10.3390/antibiotics13060502
pubmed: 38927169
pmcid: 11200959
Kim JI, Maguire F, Tsang KK, Gouliouris T, Peacock SJ, McAllister TA, McArthur AG, Beiko RG. Machine learning for antimicrobial resistance prediction: current practice, limitations, and clinical perspective. Clin Microbiol Rev. 2022;35(3):e00179–21.
doi: 10.1128/cmr.00179-21
pubmed: 35612324
pmcid: 9491192
Dudas G, Carvalho LM, Bedford T, Tatem AJ, Baele G, Faria NR, Park DJ, Ladner JT, Arias A, Asogun D, Bielejec F. Virus genomes reveal factors that spread and sustained the Ebola epidemic. Nature. 2017;544(7650):309–15.
doi: 10.1038/nature22040
pubmed: 28405027
pmcid: 5712493
Sadoughi F, Behmanesh A, Sayfouri N. Internet of things in medicine: a systematic mapping study. J Biomed Inform. 2020;103:103383.
doi: 10.1016/j.jbi.2020.103383
pubmed: 32044417
Li C, Wang J, Wang S, Zhang Y. A review of IoT applications in healthcare. Neurocomputing 2023 Nov 9:127017.
Yue X, Wang H, Jin D, Li M, Jiang W. Healthcare data gateways: found healthcare intelligence on blockchain with novel privacy risk control. J Med Syst. 2016;40:1–8.
doi: 10.1007/s10916-016-0574-6
Topol EJ. High-performance medicine: the convergence of human and artificial intelligence. Nat Med. 2019;25(1):44–56.
doi: 10.1038/s41591-018-0300-7
pubmed: 30617339
Wong A, Otles E, Donnelly JP, Krumm A, McCullough J, DeTroyer-Cooley O, Pestrue J, Phillips M, Konye J, Penoza C, Ghous M. External validation of a widely implemented proprietary sepsis prediction model in hospitalized patients. JAMA Intern Med. 2021;181(8):1065–70.
doi: 10.1001/jamainternmed.2021.2626
pubmed: 34152373
Rudin C. Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead. Nat Mach Intell. 2019;1(5):206–15.
doi: 10.1038/s42256-019-0048-x
pubmed: 35603010
pmcid: 9122117
Ghassemi M, Oakden-Rayner L, Beam AL. The false hope of current approaches to explainable artificial intelligence in health care. Lancet Digit Health. 2021;3(11):e745–50.
doi: 10.1016/S2589-7500(21)00208-9
pubmed: 34711379
Saranya SM, Tamilselvi K, Mohanapriya S. Harnessing Big Data and Artificial Intelligence for Data Acquisition, Storage, and Retrieval of Healthcare Informatics in Precision Medicine. Healthcare 4.0. Dec. 2022;27:51–75.
Gianfrancesco MA, Tamang S, Yazdany J, Schmajuk G. Potential biases in machine learning algorithms using electronic health record data. JAMA Intern Med. 2018;178(11):1544–7.
doi: 10.1001/jamainternmed.2018.3763
pubmed: 30128552
pmcid: 6347576
Obermeyer Z, Powers B, Vogeli C, Mullainathan S. Dissecting racial bias in an algorithm used to manage the health of populations. Science. 2019;366(6464):447–53.
doi: 10.1126/science.aax2342
pubmed: 31649194
Rajkomar A, Oren E, Chen K, Dai AM, Hajaj N, Hardt M, Liu PJ, Liu X, Marcus J, Sun M, Sundberg P. Scalable and accurate deep learning with electronic health records. NPJ Digit Med. 2018;1(1):1–0.
doi: 10.1038/s41746-018-0029-1
Onyebujoh PC, Thirumala AK, Ndihokubwayo JB. Integrating laboratory networks, surveillance systems and public health institutes in Africa: opinion paper. Afr J Lab Med. 2016;5(3):1–4.
doi: 10.4102/ajlm.v5i3.431
Blezek DJ, Olson-Williams L, Missert A, Korfiatis P. AI integration in the clinical workflow. J Digit Imaging. 2021;34:1435–46.
doi: 10.1007/s10278-021-00525-3
pubmed: 34686923
pmcid: 8669074
He J, Baxter SL, Xu J, Xu J, Zhou X, Zhang K. The practical implementation of artificial intelligence technologies in medicine. Nat Med. 2019;25(1):30–6.
doi: 10.1038/s41591-018-0307-0
pubmed: 30617336
pmcid: 6995276
Cohen IG, Gostin LO, Weitzner DJ. Digital smartphone tracking for COVID-19: public health and civil liberties in tension. JAMA. 2020;323(23):2371–2.
doi: 10.1001/jama.2020.8570
pubmed: 32459289
Winter JS, Davidson E. Big data governance of personal health information and challenges to contextual integrity. Inform Soc. 2019;35(1):36–51.
doi: 10.1080/01972243.2018.1542648