Inhaltsverzeichnis
Auswahl der wissenschaftlichen Literatur zum Thema „Medical AI“
Geben Sie eine Quelle nach APA, MLA, Chicago, Harvard und anderen Zitierweisen an
Machen Sie sich mit den Listen der aktuellen Artikel, Bücher, Dissertationen, Berichten und anderer wissenschaftlichen Quellen zum Thema "Medical AI" bekannt.
Neben jedem Werk im Literaturverzeichnis ist die Option "Zur Bibliographie hinzufügen" verfügbar. Nutzen Sie sie, wird Ihre bibliographische Angabe des gewählten Werkes nach der nötigen Zitierweise (APA, MLA, Harvard, Chicago, Vancouver usw.) automatisch gestaltet.
Sie können auch den vollen Text der wissenschaftlichen Publikation im PDF-Format herunterladen und eine Online-Annotation der Arbeit lesen, wenn die relevanten Parameter in den Metadaten verfügbar sind.
Zeitschriftenartikel zum Thema "Medical AI"
Lu, Donna. „DeepMind's medical AI“. New Scientist 243, Nr. 3242 (August 2019): 15. http://dx.doi.org/10.1016/s0262-4079(19)31464-2.
Der volle Inhalt der QuelleKonno, Masamitsu, und Hideshi Ishii. „AI for medical use“. Oncotarget 10, Nr. 2 (04.01.2019): 86–87. http://dx.doi.org/10.18632/oncotarget.26556.
Der volle Inhalt der QuelleStower, Hannah. „Transparency in medical AI“. Nature Medicine 26, Nr. 12 (Dezember 2020): 1804. http://dx.doi.org/10.1038/s41591-020-01147-y.
Der volle Inhalt der QuelleWillyard, Cassandra. „Can AI Fix Medical Records?“ Nature 576, Nr. 7787 (18.12.2019): S59—S62. http://dx.doi.org/10.1038/d41586-019-03848-y.
Der volle Inhalt der QuellePrice, W. Nicholson. „Distributed Governance of Medical AI“. SMU Science and Technology Law Review 25, Nr. 1 (2022): 3. http://dx.doi.org/10.25172/smustlr.25.1.2.
Der volle Inhalt der QuelleCalisto, Francisco Maria, Carlos Santiago, Nuno Nunes und Jacinto C. Nascimento. „BreastScreening-AI: Evaluating medical intelligent agents for human-AI interactions“. Artificial Intelligence in Medicine 127 (Mai 2022): 102285. http://dx.doi.org/10.1016/j.artmed.2022.102285.
Der volle Inhalt der QuelleLongoni, Chiara, Andrea Bonezzi und Carey K. Morewedge. „Resistance to Medical Artificial Intelligence“. Journal of Consumer Research 46, Nr. 4 (03.05.2019): 629–50. http://dx.doi.org/10.1093/jcr/ucz013.
Der volle Inhalt der Quelles, Keerthi Rani. „Artificial Intelligence on Medical Fields“. Data Analytics and Artificial Intelligence 3, Nr. 2 (01.02.2023): 113–15. http://dx.doi.org/10.46632/daai/3/2/21.
Der volle Inhalt der QuelleIqbal, Shazia. „Are Medical Educators Primed To Adopt Artificial Intelligence In Healthcare System And Medical Education?“ Health Professions Educator Journal 5, Nr. 1 (22.04.2022): 7–8. http://dx.doi.org/10.53708/hpej.v5i1.1707.
Der volle Inhalt der QuelleSAGA, Ryosuke. „AI and Visualization with Medical Data“. Journal of the Visualization Society of Japan 38, Nr. 151 (2018): 19–22. http://dx.doi.org/10.3154/jvs.38.151_19.
Der volle Inhalt der QuelleDissertationen zum Thema "Medical AI"
Baban, Hanna, und Olivia Grauning. „Using Fetal Myocardial Velocity Recordings to Evaluate an AI Platform to Predict High-risk Deliveries“. Thesis, KTH, Medicinteknik och hälsosystem, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-255858.
Der volle Inhalt der QuelleHägnestrand, Ida, und Söraas Nina Lindström. „Artificiell intelligens för radiologisk diagnostisering av knäartros : Hur bildkvalitetsförsämringar påverkar en AI-programvaras diagnostisering“. Thesis, KTH, Medicinteknik och hälsosystem, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-298228.
Der volle Inhalt der QuelleThe success of pattern recognition in AI (artificial intelligence) has brought high expectations for AI to be applied in healthcare, especially in radiology. A machine learning software for knee osteoarthritis diagnosis has been developed by the Danish company Radiobotics. The AI software, named RBknee, analyses digital radiographs and annotates osteoarthritis related findings. The findings, together with a conclusion, are compiled in a written report. RBknee is intended to assist healthcare professionals in radiographic analysis. How RBknees analytical ability is affected by a reduced image quality was studied by examining the contrast and noise level which cause RBknee to generate incorrect findings and conclusions. If the image quality reduction caused RBknees analytically ability to differ with different degrees of knee osteoarthritis, was also studied. The image quality of clinical digital radiographs of knees was reduced and analysed by RBknee. RBknees findings and conclusion were compared with the report of the original image, where the changes were compiled into tables. No specific reduction of image quality that restricted RBknee analytically ability was established in the study. An increased noise level seemed to increase the risk of receiving an incorrect report by RBknee. RBknees ability to generate correct report was better for contrast degraded images than for images with increased noise level. The position of the noise in the radiograph also seemed to have an impact on RBknees analytical ability. It was also possible to establish that knees with a lower degree of knee osteoarthritis were more likely to receive an incorrect report from RBknee.
Björklund, Pernilla. „The curious case of artificial intelligence : An analysis of the relationship between the EU medical device regulations and algorithmic decision systems used within the medical domain“. Thesis, Uppsala universitet, Juridiska institutionen, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-442122.
Der volle Inhalt der QuelleSöllner, Michaela [Verfasser], Jörg [Akademischer Betreuer] Königstorfer, Jörg [Gutachter] Königstorfer und Martina [Gutachter] Steul-Fischer. „Paving the Way for Medical AI: Consumer Response to Artificial Intelligence in Healthcare / Michaela Söllner ; Gutachter: Jörg Königstorfer, Martina Steul-Fischer ; Betreuer: Jörg Königstorfer“. München : Universitätsbibliothek der TU München, 2021. http://d-nb.info/1231434643/34.
Der volle Inhalt der QuelleKantedal, Simon. „Evaluating Segmentation of MR Volumes Using Predictive Models and Machine Learning“. Thesis, Linköpings universitet, Institutionen för medicinsk teknik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-171102.
Der volle Inhalt der QuelleJohnson, Beverly Elaine. „Attitudes and Perceptions of Mental Health Treatment for Native American Clients“. ScholarWorks, 2017. https://scholarworks.waldenu.edu/dissertations/4524.
Der volle Inhalt der QuelleWalker, Donald. „Similarity Determination and Case Retrieval in an Intelligent Decision Support System for Diabetes Management“. Ohio University / OhioLINK, 2007. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1194562654.
Der volle Inhalt der QuelleMercatali, Martina. „La traduzione medica ai tempi del Coronavirus: i protocolli clinici per il trattamento della malattia da COVID-19“. Master's thesis, Alma Mater Studiorum - Università di Bologna, 2021.
Den vollen Inhalt der Quelle findenZuffa, Elisa <1979>. „La suscettibilità genetica al linfoma di Hodgkin e ai tumori secondari: due storie o due capitoli della stessa storia?“ Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2008. http://amsdottorato.unibo.it/994/1/Tesi_Zuffa_Elisa.pdf.
Der volle Inhalt der QuelleZuffa, Elisa <1979>. „La suscettibilità genetica al linfoma di Hodgkin e ai tumori secondari: due storie o due capitoli della stessa storia?“ Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2008. http://amsdottorato.unibo.it/994/.
Der volle Inhalt der QuelleBücher zum Thema "Medical AI"
Jiang, Richard, Danny Crookes, Hua-Liang Wei, Li Zhang und Paul Chazot. Recent Advances in AI-enabled Automated Medical Diagnosis. New York: CRC Press, 2022. http://dx.doi.org/10.1201/9781003176121.
Der volle Inhalt der QuelleBracci, Fabio, und Giuseppe Cardamone. Presenze: Migranti e accesso ai servizi socio-sanitari. Milano, Italy: FrancoAngeli, 2005.
Den vollen Inhalt der Quelle findenQi, Yuan, Hrsg. "Fei dian" shi qi zui ke ai de ren. Shanghai: Shanghai jiao yu chu ban she, 2003.
Den vollen Inhalt der Quelle findenItaliane alla guerra: L'assistenza ai feriti 1915-1918. Venezia: Marsilio, 2003.
Den vollen Inhalt der Quelle findenGiannoni, Margherita. Equità nell'accesso ai servizi sanitari, disuguaglianze di salute e immigrazione: La performance dei servizi sanitari. Milano, Italy: FrancoAngeli, 2010.
Den vollen Inhalt der Quelle findenAi, dai wo qu yuan fang: Taiwan a mo yi zhen ji xing = Take wing with love. Xinbei Shi: Yi qi lai chu ban, 2012.
Den vollen Inhalt der Quelle finden1957-, Quaglini Silvana, Barahona P. 1954- und Andreassen Steen, Hrsg. Artificial intelligence in medicine: 8th Conference on AI in Medicine in Europe, AIME 2001, Cascais, Portugal, July 1-4, 2001 : proceedings. Berlin: Springer, 2001.
Den vollen Inhalt der Quelle findenLanati, Antonella. Qualità in biotech e pharma: Gestione manageriale dei processi, dalla ricerca ai suoi prodotti. Milano: Springer-Verlag Milan, 2010.
Den vollen Inhalt der Quelle findenRu ai quan shu: Breast cancer, the complete guide. Taibei Shi: Yuan shui wen hua, 2001.
Den vollen Inhalt der Quelle findenDieta, salute, calendari: Dal regime stagionale antico ai regimina mensium medievali : origine di un genere nella letteratura medica occidentale. Spoleto (Perugia): Centro italiano di studi sull'alto Medioevo, 2007.
Den vollen Inhalt der Quelle findenBuchteile zum Thema "Medical AI"
Li, Ron C., Naveen Muthu, Tina Hernandez-Boussard, Dev Dash und Nigam H. Shah. „Explainability in Medical AI“. In Cognitive Informatics in Biomedicine and Healthcare, 235–55. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-09108-7_8.
Der volle Inhalt der QuelleAnshik. „Medical Imaging“. In AI for Healthcare with Keras and Tensorflow 2.0, 245–312. Berkeley, CA: Apress, 2021. http://dx.doi.org/10.1007/978-1-4842-7086-8_8.
Der volle Inhalt der QuelleLiu, Zhiyi, und Yejie Zheng. „AI Medical Treatment: Epidemic, Death and Love“. In AI Ethics and Governance, 47–61. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-2531-3_4.
Der volle Inhalt der QuelleShaikh, Khalid, Sabitha Krishnan und Rohit Thanki. „AI in Healthcare and Medical Imaging“. In Artificial Intelligence in Breast Cancer Early Detection and Diagnosis, 67–78. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-59208-0_4.
Der volle Inhalt der QuelleSchaefferkoetter, Josh. „Evolution of AI in Medical Imaging“. In Artificial Intelligence/Machine Learning in Nuclear Medicine and Hybrid Imaging, 37–56. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-00119-2_4.
Der volle Inhalt der QuelleTsafack Chetsa, Ghislain Landry. „AI in the Medical Decision Context“. In Towards Sustainable Artificial Intelligence, 103–21. Berkeley, CA: Apress, 2021. http://dx.doi.org/10.1007/978-1-4842-7214-5_8.
Der volle Inhalt der QuelleLiang, Yuan, Lei He und Xiang ‘Anthony’ Chen. „Human-Centered AI for Medical Imaging“. In Human–Computer Interaction Series, 539–70. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-82681-9_16.
Der volle Inhalt der QuelleLokesh, Govvala, T. Kavya Tejaswy, Y. Sai Meghana und M. Kameswara Rao. „Medical Report Analysis Using Explainable Ai“. In Lecture Notes in Electrical Engineering, 1083–90. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-7985-8_113.
Der volle Inhalt der QuelleViñas, Ramon, Xu Zheng und Jer Hayes. „A Graph-based Imputation Method for Sparse Medical Records“. In Multimodal AI in Healthcare, 377–85. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-14771-5_27.
Der volle Inhalt der QuelleMorey, José M., Nora M. Haney und Woojin Kim. „Applications of AI Beyond Image Interpretation“. In Artificial Intelligence in Medical Imaging, 129–43. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-94878-2_11.
Der volle Inhalt der QuelleKonferenzberichte zum Thema "Medical AI"
Subhashini, Mareddy Sushma, Basampally Yeshwanth Goud, Merugu Nikhil und Gantla Sai Kumar Reddy. „AI Medical Diagnosis Application“. In 2021 5th International Conference on Intelligent Computing and Control Systems (ICICCS). IEEE, 2021. http://dx.doi.org/10.1109/iciccs51141.2021.9432301.
Der volle Inhalt der QuelleGandhi, Meera, Vishal Kumar Singh und Vivek Kumar. „IntelliDoctor - AI based Medical Assistant“. In 2019 Fifth International Conference on Science Technology Engineering and Mathematics (ICONSTEM). IEEE, 2019. http://dx.doi.org/10.1109/iconstem.2019.8918778.
Der volle Inhalt der QuelleCai, Yuwei, Ruiquan Chen, Hao Liu, Zheng Peng, Yufeng Yuan, Yuan Lu und Xiao Peng. „Lung nodule CT medical image analysis based on deep learning“. In AI in Optics and Photonics, herausgegeben von Chao Zuo. SPIE, 2023. http://dx.doi.org/10.1117/12.2652067.
Der volle Inhalt der QuelleDaskalopulu, Aspassia, Eleutherios Tsoukalas und Dimitrios Bargiotas. „Normative and Fuzzy Aspects of Medical AI“. In 2019 IEEE 19th International Conference on Bioinformatics and Bioengineering (BIBE). IEEE, 2019. http://dx.doi.org/10.1109/bibe.2019.00109.
Der volle Inhalt der QuelleJothi, J. Nirmal, S.Poongodi, V.Chinnammal, L.Kannagi, M.Panneerselvam und R. Thandaiah Prabu. „AI Based Humanoid Chatbot for Medical Application“. In 2022 3rd International Conference on Smart Electronics and Communication (ICOSEC). IEEE, 2022. http://dx.doi.org/10.1109/icosec54921.2022.9951910.
Der volle Inhalt der QuelleMirsky, Yisroel. „Discussion Paper: The Integrity of Medical AI“. In ASIA CCS '22: ACM Asia Conference on Computer and Communications Security. New York, NY, USA: ACM, 2022. http://dx.doi.org/10.1145/3494109.3527191.
Der volle Inhalt der QuelleStaron, Miroslaw, Helena Odenstedt Herges, Silvana Naredi, Linda Block, Ali El-Merhi, Richard Vithal und Mikael Elam. „Robust Machine Learning in Critical Care — Software Engineering and Medical Perspectives“. In 2021 IEEE/ACM 1st Workshop on AI Engineering - Software Engineering for AI (WAIN). IEEE, 2021. http://dx.doi.org/10.1109/wain52551.2021.00016.
Der volle Inhalt der QuelleKapcia, Marcin, Hassan Eshkiki, Jamie Duell, Xiuyi Fan, Shangming Zhou und Benjamin Mora. „ExMed: An AI Tool for Experimenting Explainable AI Techniques on Medical Data Analytics“. In 2021 IEEE 33rd International Conference on Tools with Artificial Intelligence (ICTAI). IEEE, 2021. http://dx.doi.org/10.1109/ictai52525.2021.00134.
Der volle Inhalt der QuelleSchaekermann, Mike, Graeme Beaton, Elaheh Sanoubari, Andrew Lim, Kate Larson und Edith Law. „Ambiguity-aware AI Assistants for Medical Data Analysis“. In CHI '20: CHI Conference on Human Factors in Computing Systems. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3313831.3376506.
Der volle Inhalt der QuelleVinayagam, P., A. Hameem Irfana, K. Sireesha, N. Tabassum Fathima und K. Tanuja. „An AI Tool for Emergency Medical Assistance system“. In 2022 3rd International Conference on Smart Electronics and Communication (ICOSEC). IEEE, 2022. http://dx.doi.org/10.1109/icosec54921.2022.9951990.
Der volle Inhalt der QuelleBerichte der Organisationen zum Thema "Medical AI"
Hooker, Reece. Special Report: AI in medical research. Monash University, August 2022. http://dx.doi.org/10.54377/b8f8-a681.
Der volle Inhalt der QuelleHooker, Reece. Special Report: AI in medical research. Monash University, August 2022. http://dx.doi.org/10.54377/b8f8-a681.
Der volle Inhalt der QuellePurnomo, Mauridhi Hery, Akhmad Musafa und Ardyono Priyadi. AI a jolt of energy for Indonesian medical research. Herausgegeben von Ria Ernunsari und Reece Hooker. Monash University, August 2022. http://dx.doi.org/10.54377/65e9-c61c.
Der volle Inhalt der QuellePurnomo, Mauridhi Hery, Akhmad Musafa und Ardyono Priyadi. AI a jolt of energy for Indonesian medical research. Herausgegeben von Ria Ernunsari und Reece Hooker. Monash University, August 2022. http://dx.doi.org/10.54377/65e9-c61c.
Der volle Inhalt der QuelleStern, Ariel Dora. The Regulation of Medical AI: Policy Approaches, Data, and Innovation Incentives. Cambridge, MA: National Bureau of Economic Research, Dezember 2022. http://dx.doi.org/10.3386/w30639.
Der volle Inhalt der QuelleRudd, Ian. Leveraging Artificial Intelligence and Robotics to Improve Mental Health. Intellectual Archive, Juli 2022. http://dx.doi.org/10.32370/iaj.2710.
Der volle Inhalt der QuelleFerryman, Kadija. Framing Inequity in Health Technology: The Digital Divide, Data Bias, and Racialization. Just Tech, Social Science Research Council, Februar 2022. http://dx.doi.org/10.35650/jt.3018.d.2022.
Der volle Inhalt der QuellePhinisee, Eri, Autumn Toney und Melissa Flagg. AI and Industry: Postings and Media Portrayals. Center for Security and Emerging Technology, Mai 2021. http://dx.doi.org/10.51593/20200059.
Der volle Inhalt der QuelleBorrett, Veronica, Melissa Hanham, Gunnar Jeremias, Jonathan Forman, James Revill, John Borrie, Crister Åstot et al. Science and Technology for WMD Compliance Monitoring and Investigations. The United Nations Institute for Disarmament Research, Dezember 2020. http://dx.doi.org/10.37559/wmd/20/wmdce11.
Der volle Inhalt der Quelle