Artificial Intelligence in Medicine: Basic Knowledge, Applications, Ethics and Perspectives.
Background: Artificial intelligence (AI) is rapidly transforming medicine through advanced diagnostic, prognostic, and decision‐support systems. Objective: To summarize the fundamental concepts, clinical applications, ethical issues, and future perspectives of AI in healthcare. Methods: A narrative...
| Publicado en: | Journal of Evaluation in Clinical Practice Vol. 32; no. 4; pp. 1 - 24 |
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| Autores principales: | , , , , , , , , , , , , , , , , , |
| Formato: | pictorial review tables/charts Journal Article |
| Publicado: |
Wiley-Blackwell
Jun2026
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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=194811200&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 194811200 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 13561294 EV1 jtl: Journal of Evaluation in Clinical Practice issn: 13561294 maglogo: Y pubinfo: dt: Jun2026 vid: 32 iid: 4 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 194811200 194811200 194811200 10.1111/jep.70484 194811200 ppf: 1 ppct: 23 formats: tig: atl: Artificial Intelligence in Medicine: Basic Knowledge, Applications, Ethics and Perspectives. aug: au: Cascella, Marco Avella, Maria Teresa Pumpo, Marcello Di Sebastiani, Enrico Bussa, Martino Tagliaferri, Alessio Brunetti, Barbara Meloni, Pierluigi Bianchini, Elisa Graziani, Paolo Faustini, Federico D'Onofrio, Guido Manetta, David Catania, Cristina Angela Imbesi, Cristina Pane, Cesare Fusco, Roberta Granata, Vincenza affil: Department of Medicine, Surgery and Dentistry "Scuola Medica Salernitana", University of Salerno, Salerno Baronissi,, Italy sug: subj: Health Care Delivery Machine Learning Deep Learning Neural Networks (Computer) Artificial Intelligence Utilization Artificial Intelligence Ethical Issues Specialties, Medical Diagnosis, Computer Assisted Prediction Models Diagnostic Imaging Individualized Medicine Data Quality Implementation Science User-Computer Interface Decision Making, Clinical Medical Informatics Decision Support Systems, Clinical ab: Background: Artificial intelligence (AI) is rapidly transforming medicine through advanced diagnostic, prognostic, and decision‐support systems. Objective: To summarize the fundamental concepts, clinical applications, ethical issues, and future perspectives of AI in healthcare. Methods: A narrative review of current evidence on machine learning, deep learning, neural networks, and AI applications across major medical specialties was conducted. Results: AI demonstrated high performance in diagnostic support, prognostic prediction, medical imaging, and personalized medicine. However, limitations related to data quality, generalizability, transparency, and ethical concerns remain significant challenges. Conclusions: AI has strong potential to improve healthcare delivery and precision medicine, although robust validation, ethical oversight, and appropriate regulation are essential for safe clinical implementation. pubtype: Academic Journal doctype: pictorial review tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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