Artificial intelligence in serum protein electrophoresis: history, state of the art, and perspective.
Serum protein electrophoresis (SPEP) is a valuable laboratory test that separates proteins from the blood based on their electrical charge and size. the test can detect and analyze various protein abnormalities, and the interpretation of graphic SPEP features plays a crucial role in the diagnosis an...
| Publicado en: | Critical Reviews in Clinical Laboratory Sciences Vol. 61; no. 3; pp. 226 - 241 |
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| Autores principales: | , , , |
| Formato: | pictorial review tables/charts Journal Article |
| Publicado: |
Taylor & Francis Ltd
May2024
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=177451955&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 177451955 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 10408363 1AV jtl: Critical Reviews in Clinical Laboratory Sciences issn: 10408363 maglogo: Y pubinfo: dt: May2024 vid: 61 iid: 3 pid: 377 pub: Taylor & Francis Ltd place: Philadelphia, Pennsylvania artinfo: ui: 177451955 173358626 177451955 177451955 10.1080/10408363.2023.2274325 177451955 ppf: 226 ppct: 15 formats: fmt: @attributes: type: P tig: atl: Artificial intelligence in serum protein electrophoresis: history, state of the art, and perspective. aug: au: He He Lingfeng Wang Xia Wang Mei Zhang affil: Department of Laboratory Medicine, West China Hospital of Sichuan University, Chengdu, China sug: subj: Blood Protein Electrophoresis Artificial Intelligence Utilization Deep Learning Diagnosis, Laboratory Standards Blood Protein Disorders Diagnosis Paraproteinemias Blood Blood Proteins Analysis Sensitivity and Specificity Paraproteinemias Diagnosis Validity Predictive Value of Tests ab: Serum protein electrophoresis (SPEP) is a valuable laboratory test that separates proteins from the blood based on their electrical charge and size. the test can detect and analyze various protein abnormalities, and the interpretation of graphic SPEP features plays a crucial role in the diagnosis and monitoring of conditions, such as myeloma. Furthermore, the advancement of artificial intelligence (AI) technology presents an opportunity to enhance the organization and optimization of analytical procedures by streamlining the process and reducing the potential for human error in SPeP analysis, thereby making the process more efficient and reliable. For instance, AI can assist in the identification of protein peaks, the calculation of their relative proportions, and the detection of abnormalities or inconsistencies. this review explores the characteristics and limitations of AI in SPEP, and the role of standardization in improving its clinical utility. It also offers guidance on the rational ordering and interpreting of SPeP results in conjunction with AI. Such integration can effectively reduce the time and resources required for manual analysis while improving the accuracy and consistency of the results. pubtype: Academic Journal doctype: pictorial review tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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