Intelligenza artificiale nel settore sanitario (Italian Wikipedia)

Analysis of information sources in references of the Wikipedia article "Intelligenza artificiale nel settore sanitario" in Italian language version.

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28doi.org

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3nih.gov

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2springer.com

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2ieee.org

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acpjournals.org

(EN) William G. Baxt, Use of an Artificial Neural Network for the Diagnosis of Myocardial Infarction, in Annals of Internal Medicine, vol. 115, n. 11, 1º dicembre 1991, pp. 843–848, DOI:10.7326/0003-4819-115-11-843. URL consultato il 7 novembre 2024.

archive.org

Digital image processing for medical applications., Cambridge University Press, 2009.

bbc.com

(EN) NHS using Google technology to treat patients, in BBC News, 22 novembre 2016. URL consultato il 7 novembre 2024.

biomedcentral.com

bmchealthservres.biomedcentral.com

Lena Petersson, Ingrid Larsson e Jens M. Nygren, Challenges to implementing artificial intelligence in healthcare: a qualitative interview study with healthcare leaders in Sweden, in BMC Health Services Research, vol. 22, n. 1, 1º luglio 2022, pp. 850, DOI:10.1186/s12913-022-08215-8. URL consultato il 7 novembre 2024.

bmj.com

(EN) Gary S. Collins, Karel G. M. Moons e Paula Dhiman, TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods, in BMJ, vol. 385, 16 aprile 2024, pp. e078378, DOI:10.1136/bmj-2023-078378. URL consultato il 7 novembre 2024.
(EN) Baptiste Vasey, Myura Nagendran e Bruce Campbell, Reporting guideline for the early stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI, in BMJ, vol. 377, 18 maggio 2022, pp. e070904, DOI:10.1136/bmj-2022-070904. URL consultato il 7 novembre 2024.

doi.org

dx.doi.org

(EN) Luciano Floridi, Christoph Luetge e Ugo Pagallo, Key Ethical Challenges in the European Medical Information Framework, in Minds and Machines, vol. 29, n. 3, 1º settembre 2019, pp. 355–371, DOI:10.1007/s11023-018-9467-4. URL consultato il 7 novembre 2024.
Lena Petersson, Ingrid Larsson e Jens M. Nygren, Challenges to implementing artificial intelligence in healthcare: a qualitative interview study with healthcare leaders in Sweden, in BMC Health Services Research, vol. 22, n. 1, 1º luglio 2022, pp. 850, DOI:10.1186/s12913-022-08215-8. URL consultato il 7 novembre 2024.
(EN) Omid Valinasab, Big Data Analytics to Automate Disclosure of Artificial Intelligence’s Inventions (PDF), in University of San Francisco Intellectual Property and Technology Law Journal, vol. 27, n. 2, 2022, DOI:10.2139/ssrn.4087752. URL consultato il 7 novembre 2024.
(EN) Robert K. Lindsay, Bruce G. Buchanan e Edward A. Feigenbaum, DENDRAL: A case study of the first expert system for scientific hypothesis formation, in Artificial Intelligence, vol. 61, n. 2, 1993-06, pp. 209–261, DOI:10.1016/0004-3702(93)90068-M. URL consultato il 7 novembre 2024.
R. A. Miller, Medical Diagnostic Decision Support Systems--Past, Present, And Future: A Threaded Bibliography and Brief Commentary, in Journal of the American Medical Informatics Association, vol. 1, n. 1, 1º gennaio 1994, pp. 8–27, DOI:10.1136/jamia.1994.95236141. URL consultato il 7 novembre 2024.
(EN) K.-P. Adlassnig, A Fuzzy Logical Model of Computer-Assisted Medical Diagnosis, in Methods of Information in Medicine, vol. 19, n. 03, 1980-07, pp. 141–148, DOI:10.1055/s-0038-1636674. URL consultato il 7 novembre 2024.
James A. Reggia e Yun Peng, Modeling diagnostic reasoning: a summary of parsimonious covering theory, in Computer Methods and Programs in Biomedicine, vol. 25, n. 2, 1º settembre 1987, pp. 125–134, DOI:10.1016/0169-2607(87)90048-4. URL consultato il 7 novembre 2024.
(EN) William G. Baxt, Use of an Artificial Neural Network for the Diagnosis of Myocardial Infarction, in Annals of Internal Medicine, vol. 115, n. 11, 1º dicembre 1991, pp. 843–848, DOI:10.7326/0003-4819-115-11-843. URL consultato il 7 novembre 2024.
(EN) Philip S. Maclin, Jack Dempsey e Jay Brooks, Using neural networks to diagnose cancer, in Journal of Medical Systems, vol. 15, n. 1, 1º febbraio 1991, pp. 11–19, DOI:10.1007/BF00993877. URL consultato il 7 novembre 2024.
Jonathan Koomey, Stephen Berard e Marla Sanchez, Implications of Historical Trends in the Electrical Efficiency of Computing, in IEEE Annals of the History of Computing, vol. 33, n. 3, 2011-03, pp. 46–54, DOI:10.1109/MAHC.2010.28. URL consultato il 7 novembre 2024.
(EN) Ashish K. Jha, Catherine M. DesRoches e Eric G. Campbell, Use of Electronic Health Records in U.S. Hospitals, in New England Journal of Medicine, vol. 360, n. 16, 16 aprile 2009, pp. 1628–1638, DOI:10.1056/NEJMsa0900592. URL consultato il 7 novembre 2024.
(EN) Liangyuan Hu e Lihua Li, Using Tree-Based Machine Learning for Health Studies: Literature Review and Case Series, in International Journal of Environmental Research and Public Health, vol. 19, n. 23, 1º dicembre 2022, pp. 16080, DOI:10.3390/ijerph192316080. URL consultato il 7 novembre 2024.
(EN) Manisha Bahl, Regina Barzilay e Adam B. Yedidia, High-Risk Breast Lesions: A Machine Learning Model to Predict Pathologic Upgrade and Reduce Unnecessary Surgical Excision, in Radiology, vol. 286, n. 3, 2018-03, pp. 810–818, DOI:10.1148/radiol.2017170549. URL consultato il 7 novembre 2024.
(EN) Alexander N. Pisarchik, Vladimir A. Maksimenko e Alexander E. Hramov, From Novel Technology to Novel Applications: Comment on “An Integrated Brain-Machine Interface Platform With Thousands of Channels” by Elon Musk and Neuralink, in Journal of Medical Internet Research, vol. 21, n. 10, 31 ottobre 2019, pp. e16356, DOI:10.2196/16356. URL consultato il 7 novembre 2024.
Xiaohong Iris Quan e Jihong Sanderson, Understanding the Artificial Intelligence Business Ecosystem, in IEEE Engineering Management Review, vol. 46, n. 4, 2018-12, pp. 22–25, DOI:10.1109/EMR.2018.2882430. URL consultato il 7 novembre 2024.
Pisarchik AN, Maksimenko VA, Hramov AE, From Novel Technology to Novel Applications: Comment on "An Integrated Brain-Machine Interface Platform With Thousands of Channels" by Elon Musk and Neuralink, in Journal of Medical Internet Research, vol. 21, n. 10, ottobre 2019, pp. e16356, DOI:10.2196/16356, PMC 6914250, PMID 31674923.
(EN) Hannah Van Kolfschooten, EU regulation of artificial intelligence: Challenges for patients’ rights, in Common Market Law Review, vol. 59, n. 1, 1º febbraio 2022, DOI:10.54648/cola2022005. URL consultato il 7 novembre 2024.
(EN) Gary S. Collins, Karel G. M. Moons e Paula Dhiman, TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods, in BMJ, vol. 385, 16 aprile 2024, pp. e078378, DOI:10.1136/bmj-2023-078378. URL consultato il 7 novembre 2024.
(EN) Baptiste Vasey, Myura Nagendran e Bruce Campbell, Reporting guideline for the early stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI, in BMJ, vol. 377, 18 maggio 2022, pp. e070904, DOI:10.1136/bmj-2022-070904. URL consultato il 7 novembre 2024.
(EN) Xiaoxuan Liu, Samantha Cruz Rivera e David Moher, Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI extension, in Nature Medicine, vol. 26, n. 9, 2020-09, pp. 1364–1374, DOI:10.1038/s41591-020-1034-x. URL consultato il 7 novembre 2024.
Lacassie E, Marquet P, Martin-Dupont S, Gaulier JM, Lachâtre G, A non-fatal case of intoxication with foxglove, documented by means of liquid chromatography-electrospray-mass spectrometry, in Journal of Forensic Sciences, vol. 45, n. 5, settembre 2000, pp. 1154–1158, DOI:10.1520/JFS14845J, PMID 11005196.
Luigi De Angelis, Francesco Baglivo e Guglielmo Arzilli, ChatGPT and the rise of large language models: the new AI-driven infodemic threat in public health, in Frontiers in Public Health, vol. 11, 25 aprile 2023, DOI:10.3389/fpubh.2023.1166120. URL consultato il 7 novembre 2024.
Mudgal KS, Das N, The ethical adoption of artificial intelligence in radiology, in BJR Open, vol. 2, n. 1, 1º novembre 2020, pp. 20190020, DOI:10.1259/bjro.20190020, PMC 7605209, PMID 33178959.
Vinh Vo, Gang Chen e Yves Saint James Aquino, Multi-stakeholder preferences for the use of artificial intelligence in healthcare: A systematic review and thematic analysis, in Social Science & Medicine, vol. 338, 1º dicembre 2023, pp. 116357, DOI:10.1016/j.socscimed.2023.116357. URL consultato il 7 novembre 2024.
Thomas Davenport e Ravi Kalakota, The potential for artificial intelligence in healthcare, in Future Healthcare Journal, vol. 6, n. 2, 1º giugno 2019, pp. 94–98, DOI:10.7861/futurehosp.6-2-94. URL consultato il 7 novembre 2024.
(EN) Neil Savage, Robots rise to meet the challenge of caring for old people, in Nature, vol. 601, n. 7893, 19 gennaio 2022, pp. S8–S10, DOI:10.1038/d41586-022-00072-z. URL consultato il 7 novembre 2024.
(EN) Jean Baric-Parker e Emily E. Anderson, Patient Data-Sharing for AI: Ethical Challenges, Catholic Solutions, in The Linacre Quarterly, vol. 87, n. 4, 2020-11, pp. 471–481, DOI:10.1177/0024363920922690. URL consultato il 7 novembre 2024.
(EN) Carl Thomas Berdahl, Lawrence Baker e Sean Mann, Strategies to Improve the Impact of Artificial Intelligence on Health Equity: Scoping Review, in JMIR AI, vol. 2, n. 1, 7 febbraio 2023, pp. e42936, DOI:10.2196/42936. URL consultato il 7 novembre 2024.

elsevier.com

linkinghub.elsevier.com

(EN) Robert K. Lindsay, Bruce G. Buchanan e Edward A. Feigenbaum, DENDRAL: A case study of the first expert system for scientific hypothesis formation, in Artificial Intelligence, vol. 61, n. 2, 1993-06, pp. 209–261, DOI:10.1016/0004-3702(93)90068-M. URL consultato il 7 novembre 2024.
James A. Reggia e Yun Peng, Modeling diagnostic reasoning: a summary of parsimonious covering theory, in Computer Methods and Programs in Biomedicine, vol. 25, n. 2, 1º settembre 1987, pp. 125–134, DOI:10.1016/0169-2607(87)90048-4. URL consultato il 7 novembre 2024.
Vinh Vo, Gang Chen e Yves Saint James Aquino, Multi-stakeholder preferences for the use of artificial intelligence in healthcare: A systematic review and thematic analysis, in Social Science & Medicine, vol. 338, 1º dicembre 2023, pp. 116357, DOI:10.1016/j.socscimed.2023.116357. URL consultato il 7 novembre 2024.
Thomas Davenport e Ravi Kalakota, The potential for artificial intelligence in healthcare, in Future Healthcare Journal, vol. 6, n. 2, 1º giugno 2019, pp. 94–98, DOI:10.7861/futurehosp.6-2-94. URL consultato il 7 novembre 2024.

fortune.com

(EN) Laura Lorenzetti, Here’s How IBM Watson Health Is Transforming the Health Care Industry, su Fortune. URL consultato il 7 novembre 2024.

frontiersin.org

Luigi De Angelis, Francesco Baglivo e Guglielmo Arzilli, ChatGPT and the rise of large language models: the new AI-driven infodemic threat in public health, in Frontiers in Public Health, vol. 11, 25 aprile 2023, DOI:10.3389/fpubh.2023.1166120. URL consultato il 7 novembre 2024.

googleblog.com

ai.googleblog.com

(EN) Developing an aging clock using deep learning on retinal images, su ai.googleblog.com. URL consultato il 1º giugno 2023.

hbr.org

Brad Power, Artificial Intelligence Is Almost Ready for Business, in Harvard Business Review, 19 marzo 2015. URL consultato il 7 novembre 2024.
(EN) Algorithms Need Managers, Too, in Harvard Business Review, 1º gennaio 2016. URL consultato il 7 novembre 2024.

healthitanalytics.com

HealthITAnalytics, https://healthitanalytics.com/news/providers-embrace-predictive-analytics-for-clinical-financial-benefits Titolo mancante per url url (aiuto).

ieee.org

ieeexplore.ieee.org

Jonathan Koomey, Stephen Berard e Marla Sanchez, Implications of Historical Trends in the Electrical Efficiency of Computing, in IEEE Annals of the History of Computing, vol. 33, n. 3, 2011-03, pp. 46–54, DOI:10.1109/MAHC.2010.28. URL consultato il 7 novembre 2024.
Xiaohong Iris Quan e Jihong Sanderson, Understanding the Artificial Intelligence Business Ecosystem, in IEEE Engineering Management Review, vol. 46, n. 4, 2018-12, pp. 22–25, DOI:10.1109/EMR.2018.2882430. URL consultato il 7 novembre 2024.

ippocrateas.eu

Intelligenza artificiale in medicina: quali innovazioni apporta?, su ippocrateas.eu.

jmir.org

(EN) Alexander N. Pisarchik, Vladimir A. Maksimenko e Alexander E. Hramov, From Novel Technology to Novel Applications: Comment on “An Integrated Brain-Machine Interface Platform With Thousands of Channels” by Elon Musk and Neuralink, in Journal of Medical Internet Research, vol. 21, n. 10, 31 ottobre 2019, pp. e16356, DOI:10.2196/16356. URL consultato il 7 novembre 2024.

ai.jmir.org

(EN) Carl Thomas Berdahl, Lawrence Baker e Sean Mann, Strategies to Improve the Impact of Artificial Intelligence on Health Equity: Scoping Review, in JMIR AI, vol. 2, n. 1, 7 febbraio 2023, pp. e42936, DOI:10.2196/42936. URL consultato il 7 novembre 2024.

kluwerlawonline.com

(EN) Hannah Van Kolfschooten, EU regulation of artificial intelligence: Challenges for patients’ rights, in Common Market Law Review, vol. 59, n. 1, 1º febbraio 2022, DOI:10.54648/cola2022005. URL consultato il 7 novembre 2024.

mdpi.com

(EN) Liangyuan Hu e Lihua Li, Using Tree-Based Machine Learning for Health Studies: Literature Review and Case Series, in International Journal of Environmental Research and Public Health, vol. 19, n. 23, 1º dicembre 2022, pp. 16080, DOI:10.3390/ijerph192316080. URL consultato il 7 novembre 2024.

nature.com

(EN) Xiaoxuan Liu, Samantha Cruz Rivera e David Moher, Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI extension, in Nature Medicine, vol. 26, n. 9, 2020-09, pp. 1364–1374, DOI:10.1038/s41591-020-1034-x. URL consultato il 7 novembre 2024.
(EN) Neil Savage, Robots rise to meet the challenge of caring for old people, in Nature, vol. 601, n. 7893, 19 gennaio 2022, pp. S8–S10, DOI:10.1038/d41586-022-00072-z. URL consultato il 7 novembre 2024.

nejm.org

(EN) Ashish K. Jha, Catherine M. DesRoches e Eric G. Campbell, Use of Electronic Health Records in U.S. Hospitals, in New England Journal of Medicine, vol. 360, n. 16, 16 aprile 2009, pp. 1628–1638, DOI:10.1056/NEJMsa0900592. URL consultato il 7 novembre 2024.

nih.gov

ncbi.nlm.nih.gov

Pisarchik AN, Maksimenko VA, Hramov AE, From Novel Technology to Novel Applications: Comment on "An Integrated Brain-Machine Interface Platform With Thousands of Channels" by Elon Musk and Neuralink, in Journal of Medical Internet Research, vol. 21, n. 10, ottobre 2019, pp. e16356, DOI:10.2196/16356, PMC 6914250, PMID 31674923.
Lacassie E, Marquet P, Martin-Dupont S, Gaulier JM, Lachâtre G, A non-fatal case of intoxication with foxglove, documented by means of liquid chromatography-electrospray-mass spectrometry, in Journal of Forensic Sciences, vol. 45, n. 5, settembre 2000, pp. 1154–1158, DOI:10.1520/JFS14845J, PMID 11005196.
Mudgal KS, Das N, The ethical adoption of artificial intelligence in radiology, in BJR Open, vol. 2, n. 1, 1º novembre 2020, pp. 20190020, DOI:10.1259/bjro.20190020, PMC 7605209, PMID 33178959.

oadoi.org

Lacassie E, Marquet P, Martin-Dupont S, Gaulier JM, Lachâtre G, A non-fatal case of intoxication with foxglove, documented by means of liquid chromatography-electrospray-mass spectrometry, in Journal of Forensic Sciences, vol. 45, n. 5, settembre 2000, pp. 1154–1158, DOI:10.1520/JFS14845J, PMID 11005196.

oup.com

academic.oup.com

R. A. Miller, Medical Diagnostic Decision Support Systems--Past, Present, And Future: A Threaded Bibliography and Brief Commentary, in Journal of the American Medical Informatics Association, vol. 1, n. 1, 1º gennaio 1994, pp. 8–27, DOI:10.1136/jamia.1994.95236141. URL consultato il 7 novembre 2024.

pewresearch.org

(EN) Lee Rainie, Cary Funk, Monica Anderson and Alec Tyson, 1. How Americans think about artificial intelligence, su Pew Research Center, 17 marzo 2022. URL consultato il 7 novembre 2024.

rsna.org

pubs.rsna.org

(EN) Manisha Bahl, Regina Barzilay e Adam B. Yedidia, High-Risk Breast Lesions: A Machine Learning Model to Predict Pathologic Upgrade and Reduce Unnecessary Surgical Excision, in Radiology, vol. 286, n. 3, 2018-03, pp. 810–818, DOI:10.1148/radiol.2017170549. URL consultato il 7 novembre 2024.

sagepub.com

journals.sagepub.com

(EN) Jean Baric-Parker e Emily E. Anderson, Patient Data-Sharing for AI: Ethical Challenges, Catholic Solutions, in The Linacre Quarterly, vol. 87, n. 4, 2020-11, pp. 471–481, DOI:10.1177/0024363920922690. URL consultato il 7 novembre 2024.

springer.com

link.springer.com

(EN) Luciano Floridi, Christoph Luetge e Ugo Pagallo, Key Ethical Challenges in the European Medical Information Framework, in Minds and Machines, vol. 29, n. 3, 1º settembre 2019, pp. 355–371, DOI:10.1007/s11023-018-9467-4. URL consultato il 7 novembre 2024.
(EN) Philip S. Maclin, Jack Dempsey e Jay Brooks, Using neural networks to diagnose cancer, in Journal of Medical Systems, vol. 15, n. 1, 1º febbraio 1991, pp. 11–19, DOI:10.1007/BF00993877. URL consultato il 7 novembre 2024.

thieme-connect.de

(EN) K.-P. Adlassnig, A Fuzzy Logical Model of Computer-Assisted Medical Diagnosis, in Methods of Information in Medicine, vol. 19, n. 03, 1980-07, pp. 141–148, DOI:10.1055/s-0038-1636674. URL consultato il 7 novembre 2024.

usfca.edu

usfblogs.usfca.edu

(EN) Omid Valinasab, Big Data Analytics to Automate Disclosure of Artificial Intelligence’s Inventions (PDF), in University of San Francisco Intellectual Property and Technology Law Journal, vol. 27, n. 2, 2022, DOI:10.2139/ssrn.4087752. URL consultato il 7 novembre 2024.

web.archive.org

Copia archiviata (PDF). URL consultato il 18 luglio 2024 (archiviato dall'url originale il 7 aprile 2019).
sigmoidal.io, https://web.archive.org/web/20200817223845/https://sigmoidal.io/artificial-intelligence-and-machine-learning-for-healthcare/. URL consultato il 26 marzo 2018 (archiviato dall'url originale il 17 agosto 2020).