Academic literature on the topic 'Medical AI'
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Journal articles on the topic "Medical AI"
Lu, Donna. "DeepMind's medical AI." New Scientist 243, no. 3242 (August 2019): 15. http://dx.doi.org/10.1016/s0262-4079(19)31464-2.
Full textKonno, Masamitsu, and Hideshi Ishii. "AI for medical use." Oncotarget 10, no. 2 (January 4, 2019): 86–87. http://dx.doi.org/10.18632/oncotarget.26556.
Full textStower, Hannah. "Transparency in medical AI." Nature Medicine 26, no. 12 (December 2020): 1804. http://dx.doi.org/10.1038/s41591-020-01147-y.
Full textWillyard, Cassandra. "Can AI Fix Medical Records?" Nature 576, no. 7787 (December 18, 2019): S59—S62. http://dx.doi.org/10.1038/d41586-019-03848-y.
Full textPrice, W. Nicholson. "Distributed Governance of Medical AI." SMU Science and Technology Law Review 25, no. 1 (2022): 3. http://dx.doi.org/10.25172/smustlr.25.1.2.
Full textCalisto, Francisco Maria, Carlos Santiago, Nuno Nunes, and Jacinto C. Nascimento. "BreastScreening-AI: Evaluating medical intelligent agents for human-AI interactions." Artificial Intelligence in Medicine 127 (May 2022): 102285. http://dx.doi.org/10.1016/j.artmed.2022.102285.
Full textLongoni, Chiara, Andrea Bonezzi, and Carey K. Morewedge. "Resistance to Medical Artificial Intelligence." Journal of Consumer Research 46, no. 4 (May 3, 2019): 629–50. http://dx.doi.org/10.1093/jcr/ucz013.
Full texts, Keerthi Rani. "Artificial Intelligence on Medical Fields." Data Analytics and Artificial Intelligence 3, no. 2 (February 1, 2023): 113–15. http://dx.doi.org/10.46632/daai/3/2/21.
Full textIqbal, Shazia. "Are Medical Educators Primed To Adopt Artificial Intelligence In Healthcare System And Medical Education?" Health Professions Educator Journal 5, no. 1 (April 22, 2022): 7–8. http://dx.doi.org/10.53708/hpej.v5i1.1707.
Full textSAGA, Ryosuke. "AI and Visualization with Medical Data." Journal of the Visualization Society of Japan 38, no. 151 (2018): 19–22. http://dx.doi.org/10.3154/jvs.38.151_19.
Full textDissertations / Theses on the topic "Medical AI"
Baban, Hanna, and 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.
Full textHägnestrand, Ida, and 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.
Full textThe 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.
Full textSöllner, Michaela [Verfasser], Jörg [Akademischer Betreuer] Königstorfer, Jörg [Gutachter] Königstorfer, and 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.
Full textKantedal, 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.
Full textJohnson, Beverly Elaine. "Attitudes and Perceptions of Mental Health Treatment for Native American Clients." ScholarWorks, 2017. https://scholarworks.waldenu.edu/dissertations/4524.
Full textWalker, 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.
Full textMercatali, 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.
Find full textZuffa, 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.
Full textZuffa, 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/.
Full textBooks on the topic "Medical AI"
Jiang, Richard, Danny Crookes, Hua-Liang Wei, Li Zhang, and Paul Chazot. Recent Advances in AI-enabled Automated Medical Diagnosis. New York: CRC Press, 2022. http://dx.doi.org/10.1201/9781003176121.
Full textBracci, Fabio, and Giuseppe Cardamone. Presenze: Migranti e accesso ai servizi socio-sanitari. Milano, Italy: FrancoAngeli, 2005.
Find full textQi, Yuan, ed. "Fei dian" shi qi zui ke ai de ren. Shanghai: Shanghai jiao yu chu ban she, 2003.
Find full textItaliane alla guerra: L'assistenza ai feriti 1915-1918. Venezia: Marsilio, 2003.
Find full textGiannoni, Margherita. Equità nell'accesso ai servizi sanitari, disuguaglianze di salute e immigrazione: La performance dei servizi sanitari. Milano, Italy: FrancoAngeli, 2010.
Find full textAi, dai wo qu yuan fang: Taiwan a mo yi zhen ji xing = Take wing with love. Xinbei Shi: Yi qi lai chu ban, 2012.
Find full text1957-, Quaglini Silvana, Barahona P. 1954-, and Andreassen Steen, eds. Artificial intelligence in medicine: 8th Conference on AI in Medicine in Europe, AIME 2001, Cascais, Portugal, July 1-4, 2001 : proceedings. Berlin: Springer, 2001.
Find full textLanati, Antonella. Qualità in biotech e pharma: Gestione manageriale dei processi, dalla ricerca ai suoi prodotti. Milano: Springer-Verlag Milan, 2010.
Find full textRu ai quan shu: Breast cancer, the complete guide. Taibei Shi: Yuan shui wen hua, 2001.
Find full textDieta, 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.
Find full textBook chapters on the topic "Medical AI"
Li, Ron C., Naveen Muthu, Tina Hernandez-Boussard, Dev Dash, and 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.
Full textAnshik. "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.
Full textLiu, Zhiyi, and 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.
Full textShaikh, Khalid, Sabitha Krishnan, and 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.
Full textSchaefferkoetter, 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.
Full textTsafack 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.
Full textLiang, Yuan, Lei He, and 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.
Full textLokesh, Govvala, T. Kavya Tejaswy, Y. Sai Meghana, and 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.
Full textViñas, Ramon, Xu Zheng, and 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.
Full textMorey, José M., Nora M. Haney, and 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.
Full textConference papers on the topic "Medical AI"
Subhashini, Mareddy Sushma, Basampally Yeshwanth Goud, Merugu Nikhil, and 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.
Full textGandhi, Meera, Vishal Kumar Singh, and 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.
Full textCai, Yuwei, Ruiquan Chen, Hao Liu, Zheng Peng, Yufeng Yuan, Yuan Lu, and Xiao Peng. "Lung nodule CT medical image analysis based on deep learning." In AI in Optics and Photonics, edited by Chao Zuo. SPIE, 2023. http://dx.doi.org/10.1117/12.2652067.
Full textDaskalopulu, Aspassia, Eleutherios Tsoukalas, and 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.
Full textJothi, J. Nirmal, S.Poongodi, V.Chinnammal, L.Kannagi, M.Panneerselvam, and 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.
Full textMirsky, 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.
Full textStaron, Miroslaw, Helena Odenstedt Herges, Silvana Naredi, Linda Block, Ali El-Merhi, Richard Vithal, and 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.
Full textKapcia, Marcin, Hassan Eshkiki, Jamie Duell, Xiuyi Fan, Shangming Zhou, and 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.
Full textSchaekermann, Mike, Graeme Beaton, Elaheh Sanoubari, Andrew Lim, Kate Larson, and 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.
Full textVinayagam, P., A. Hameem Irfana, K. Sireesha, N. Tabassum Fathima, and 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.
Full textReports on the topic "Medical AI"
Hooker, Reece. Special Report: AI in medical research. Monash University, August 2022. http://dx.doi.org/10.54377/b8f8-a681.
Full textHooker, Reece. Special Report: AI in medical research. Monash University, August 2022. http://dx.doi.org/10.54377/b8f8-a681.
Full textPurnomo, Mauridhi Hery, Akhmad Musafa, and Ardyono Priyadi. AI a jolt of energy for Indonesian medical research. Edited by Ria Ernunsari and Reece Hooker. Monash University, August 2022. http://dx.doi.org/10.54377/65e9-c61c.
Full textPurnomo, Mauridhi Hery, Akhmad Musafa, and Ardyono Priyadi. AI a jolt of energy for Indonesian medical research. Edited by Ria Ernunsari and Reece Hooker. Monash University, August 2022. http://dx.doi.org/10.54377/65e9-c61c.
Full textStern, Ariel Dora. The Regulation of Medical AI: Policy Approaches, Data, and Innovation Incentives. Cambridge, MA: National Bureau of Economic Research, December 2022. http://dx.doi.org/10.3386/w30639.
Full textRudd, Ian. Leveraging Artificial Intelligence and Robotics to Improve Mental Health. Intellectual Archive, July 2022. http://dx.doi.org/10.32370/iaj.2710.
Full textFerryman, Kadija. Framing Inequity in Health Technology: The Digital Divide, Data Bias, and Racialization. Just Tech, Social Science Research Council, February 2022. http://dx.doi.org/10.35650/jt.3018.d.2022.
Full textPhinisee, Eri, Autumn Toney, and Melissa Flagg. AI and Industry: Postings and Media Portrayals. Center for Security and Emerging Technology, May 2021. http://dx.doi.org/10.51593/20200059.
Full textBorrett, 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, December 2020. http://dx.doi.org/10.37559/wmd/20/wmdce11.
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