Giuseppe Lippi, Camilla Mattiuzzi, Emmanuel J Favaloro
{"title":"分析前阶段的人工智能:最新技术和未来展望。","authors":"Giuseppe Lippi, Camilla Mattiuzzi, Emmanuel J Favaloro","doi":"10.5937/jomb0-45936","DOIUrl":null,"url":null,"abstract":"<p><p>The use of artificial intelligence (AI) has become widespread in many areas of science and medicine, including laboratory medicine. Although it seems obvious that the analytical and post-analytical phases could be the most important fields of application in laboratory medicine, a kaleidoscope of new opportunities has emerged to extend the benefits of AI to many manual labor-intensive activities belonging to the pre-analytical phase, which are inherently characterized by enhanced vulnerability and higher risk of errors. These potential applications involve increasing the appropriateness of test prescription (with computerized physician order entry or demand management tools), improved specimen collection (using active patient recognition, automated specimen labeling, vein recognition and blood collection assistance, along with automated blood drawing), more efficient sample transportation (facilitated by the use of pneumatic transport systems or drones, and monitored with smart blood tubes or data loggers), systematic evaluation of sample quality (by measuring serum indices, fill volume or for detecting sample clotting), as well as error detection and analysis. Therefore, this opinion paper aims to discuss the state-of-the-art and some future possibilities of AI in the preanalytical phase.</p>","PeriodicalId":16175,"journal":{"name":"Journal of Medical Biochemistry","volume":null,"pages":null},"PeriodicalIF":2.0000,"publicationDate":"2024-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10943465/pdf/","citationCount":"0","resultStr":"{\"title\":\"Artificial intelligence in the pre-analytical phase: State-of-the art and future perspectives.\",\"authors\":\"Giuseppe Lippi, Camilla Mattiuzzi, Emmanuel J Favaloro\",\"doi\":\"10.5937/jomb0-45936\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>The use of artificial intelligence (AI) has become widespread in many areas of science and medicine, including laboratory medicine. Although it seems obvious that the analytical and post-analytical phases could be the most important fields of application in laboratory medicine, a kaleidoscope of new opportunities has emerged to extend the benefits of AI to many manual labor-intensive activities belonging to the pre-analytical phase, which are inherently characterized by enhanced vulnerability and higher risk of errors. These potential applications involve increasing the appropriateness of test prescription (with computerized physician order entry or demand management tools), improved specimen collection (using active patient recognition, automated specimen labeling, vein recognition and blood collection assistance, along with automated blood drawing), more efficient sample transportation (facilitated by the use of pneumatic transport systems or drones, and monitored with smart blood tubes or data loggers), systematic evaluation of sample quality (by measuring serum indices, fill volume or for detecting sample clotting), as well as error detection and analysis. Therefore, this opinion paper aims to discuss the state-of-the-art and some future possibilities of AI in the preanalytical phase.</p>\",\"PeriodicalId\":16175,\"journal\":{\"name\":\"Journal of Medical Biochemistry\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":2.0000,\"publicationDate\":\"2024-01-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10943465/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Medical Biochemistry\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.5937/jomb0-45936\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"BIOCHEMISTRY & MOLECULAR BIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Medical Biochemistry","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.5937/jomb0-45936","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
Artificial intelligence in the pre-analytical phase: State-of-the art and future perspectives.
The use of artificial intelligence (AI) has become widespread in many areas of science and medicine, including laboratory medicine. Although it seems obvious that the analytical and post-analytical phases could be the most important fields of application in laboratory medicine, a kaleidoscope of new opportunities has emerged to extend the benefits of AI to many manual labor-intensive activities belonging to the pre-analytical phase, which are inherently characterized by enhanced vulnerability and higher risk of errors. These potential applications involve increasing the appropriateness of test prescription (with computerized physician order entry or demand management tools), improved specimen collection (using active patient recognition, automated specimen labeling, vein recognition and blood collection assistance, along with automated blood drawing), more efficient sample transportation (facilitated by the use of pneumatic transport systems or drones, and monitored with smart blood tubes or data loggers), systematic evaluation of sample quality (by measuring serum indices, fill volume or for detecting sample clotting), as well as error detection and analysis. Therefore, this opinion paper aims to discuss the state-of-the-art and some future possibilities of AI in the preanalytical phase.
期刊介绍:
The JOURNAL OF MEDICAL BIOCHEMISTRY (J MED BIOCHEM) is the official journal of the Society of Medical Biochemists of Serbia with international peer-review. Papers are independently reviewed by at least two reviewers selected by the Editors as Blind Peer Reviews. The Journal of Medical Biochemistry is published quarterly.
The Journal publishes original scientific and specialized articles on all aspects of
clinical and medical biochemistry,
molecular medicine,
clinical hematology and coagulation,
clinical immunology and autoimmunity,
clinical microbiology,
virology,
clinical genomics and molecular biology,
genetic epidemiology,
drug measurement,
evaluation of diagnostic markers,
new reagents and laboratory equipment,
reference materials and methods,
reference values,
laboratory organization,
automation,
quality control,
clinical metrology,
all related scientific disciplines where chemistry, biochemistry, molecular biology and immunochemistry deal with the study of normal and pathologic processes in human beings.