G Volonnino, L De Paola, F Spadazzi, F Serri, M Ottaviani, M V Zamponi, M Arcangeli, R La Russa
{"title":"人工智能与法医学的未来前景:系统综述。","authors":"G Volonnino, L De Paola, F Spadazzi, F Serri, M Ottaviani, M V Zamponi, M Arcangeli, R La Russa","doi":"10.7417/CT.2024.5062","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>Artificial intelligence (AI) is the ability of a computer machine to display human capabilities such as reasoning, learning, planning, and creativity. Such processing technology receives the data (already prepared or collected), processes them, using models and algorithms, and answers questions about forecasting and decision-making. AI systems are also able to adapt their behavior by analyzing the effects of previous actions and working then autonomously. Artificial intelligence is already present in our lives, even if it often goes unnoticed (shopping networked, home automation, vehicles). Even in the medical field, artificial intelligence can be used to analyze large amounts of medical data and discover matches and patterns to improve diagnosis and prevention. In forensic medicine, the applications of AI are numerous and are becoming more and more valuable.</p><p><strong>Method: </strong>A systematic review was conducted, selecting the articles in one of the most widely used electronic databases (PubMed). The research was conducted using the keywords \"AI forensic\" and \"machine learning forensic\". The research process included about 2000 Articles published from 1990 to the present.</p><p><strong>Results: </strong>We have focused on the most common fields of use and have been then 6 macro-topics were identified and analyzed. Specifically, articles were analyzed concerning the application of AI in forensic pathology (main area), toxicology, radiology, Personal identification, forensic anthropology, and forensic psychiatry.</p><p><strong>Conclusion: </strong>The aim of the study is to evaluate the current applications of AI in forensic medicine for each field of use, trying to grasp future and more usable applications and underline their limitations.</p>","PeriodicalId":50686,"journal":{"name":"Clinica Terapeutica","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Artificial intelligence and future perspectives in Forensic Medicine: a systematic review.\",\"authors\":\"G Volonnino, L De Paola, F Spadazzi, F Serri, M Ottaviani, M V Zamponi, M Arcangeli, R La Russa\",\"doi\":\"10.7417/CT.2024.5062\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objective: </strong>Artificial intelligence (AI) is the ability of a computer machine to display human capabilities such as reasoning, learning, planning, and creativity. Such processing technology receives the data (already prepared or collected), processes them, using models and algorithms, and answers questions about forecasting and decision-making. AI systems are also able to adapt their behavior by analyzing the effects of previous actions and working then autonomously. Artificial intelligence is already present in our lives, even if it often goes unnoticed (shopping networked, home automation, vehicles). Even in the medical field, artificial intelligence can be used to analyze large amounts of medical data and discover matches and patterns to improve diagnosis and prevention. In forensic medicine, the applications of AI are numerous and are becoming more and more valuable.</p><p><strong>Method: </strong>A systematic review was conducted, selecting the articles in one of the most widely used electronic databases (PubMed). The research was conducted using the keywords \\\"AI forensic\\\" and \\\"machine learning forensic\\\". The research process included about 2000 Articles published from 1990 to the present.</p><p><strong>Results: </strong>We have focused on the most common fields of use and have been then 6 macro-topics were identified and analyzed. Specifically, articles were analyzed concerning the application of AI in forensic pathology (main area), toxicology, radiology, Personal identification, forensic anthropology, and forensic psychiatry.</p><p><strong>Conclusion: </strong>The aim of the study is to evaluate the current applications of AI in forensic medicine for each field of use, trying to grasp future and more usable applications and underline their limitations.</p>\",\"PeriodicalId\":50686,\"journal\":{\"name\":\"Clinica Terapeutica\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Clinica Terapeutica\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.7417/CT.2024.5062\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"Medicine\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Clinica Terapeutica","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.7417/CT.2024.5062","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Medicine","Score":null,"Total":0}
Artificial intelligence and future perspectives in Forensic Medicine: a systematic review.
Objective: Artificial intelligence (AI) is the ability of a computer machine to display human capabilities such as reasoning, learning, planning, and creativity. Such processing technology receives the data (already prepared or collected), processes them, using models and algorithms, and answers questions about forecasting and decision-making. AI systems are also able to adapt their behavior by analyzing the effects of previous actions and working then autonomously. Artificial intelligence is already present in our lives, even if it often goes unnoticed (shopping networked, home automation, vehicles). Even in the medical field, artificial intelligence can be used to analyze large amounts of medical data and discover matches and patterns to improve diagnosis and prevention. In forensic medicine, the applications of AI are numerous and are becoming more and more valuable.
Method: A systematic review was conducted, selecting the articles in one of the most widely used electronic databases (PubMed). The research was conducted using the keywords "AI forensic" and "machine learning forensic". The research process included about 2000 Articles published from 1990 to the present.
Results: We have focused on the most common fields of use and have been then 6 macro-topics were identified and analyzed. Specifically, articles were analyzed concerning the application of AI in forensic pathology (main area), toxicology, radiology, Personal identification, forensic anthropology, and forensic psychiatry.
Conclusion: The aim of the study is to evaluate the current applications of AI in forensic medicine for each field of use, trying to grasp future and more usable applications and underline their limitations.
期刊介绍:
La Clinica Terapeutica è una rivista di Clinica e Terapia in Medicina e Chirurgia, fondata nel 1951 dal Prof. Mariano Messini (1901-1980), Direttore dell''Istituto di Idrologia Medica dell''Università di Roma “La Sapienza”. La rivista è pubblicata come “periodico bimestrale” dalla Società Editrice Universo, casa editrice fondata nel 1945 dal Comm. Luigi Pellino. La Clinica Terapeutica è indicizzata su MEDLINE, INDEX MEDICUS, EMBASE/Excerpta Medica.