Relevant bibliographies by topics / AI in Medicine

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'AI in Medicine'

Author: Grafiati
Published: 3 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "AI in Medicine"

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Adinolfi, Gianmarco. "AI in Medicine." Pleven Blog&Journal, no. 4 (March 31, 2025): 9–17. https://doi.org/10.5281/zenodo.15308620.

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This academic article was written by a medical student and published in <em>Pleven Blog&amp;Journal</em>, Issue 4, released on March 31, 2025. The journal is an academic <strong>student-led</strong> platform, dedicated to promoting scientific activity, collaboration, and intellectual engagement among peers in the medical and academic communities. It serves as a space to support early scientific contributions while encouraging the growth of academic interest within the faculty.
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Pakdemirli, Ahu, and Asim Leblebici. "AI in Medicine versus AI in Prehospital." Medicine Science | International Medical Journal 9, no. 2 (2020): 293. http://dx.doi.org/10.5455/medscience.2020.09.9186.

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Molchanova, Irma I., and Nadezhda V. Sokolova. "Features of translation of medical instructions from English and French languages into Russian (Pharmacological discourse)." Revista Amazonia Investiga 9, no. 26 (2020): 52–59. http://dx.doi.org/10.34069/ai/2020.26.02.5.

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The purpose of the study is to reveal difficulties in translating instructions on the usage of medicines from English and French into Russian. Translation of medical instructions is a private form of medical translation that is in high demand. Each medicine should have a detailed description in Russian. With this document, a manufacturer guarantees to patient that subject to the prescribed standards, medicine will provide a certain effect that it is safe for life and health. The instruction is a kind of memo for a patient and a guarantee of the correctness of taking medicine. The authors of th
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Grosek, Štefan, Stjepan Štivić, Ana Borovečki, et al. "Ethical attitudes and perspectives of AI use in medicine between Croatian and Slovenian faculty members of school of medicine: Cross-sectional study." PLOS ONE 19, no. 12 (2024): e0310599. https://doi.org/10.1371/journal.pone.0310599.

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Background Artificial intelligence (AI) is present in preclinical, clinical and research work, in various branches of medicine. Researchers and teachers at school of medicines may have different ethical attitudes and perspectives about the implementation of AI systems in medicine. Methods We conducted an online survey among researchers and teachers (RTs) at the departments and institutes of two Slovenian and four Croatian Schools of Medicine. Results The sample included 165 and 214 researchers and teachers in Slovenia and Croatia, respectively. The sample of respondents in Slovenia and Croatia
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Filetti, Marco, Manuela Petti, and Lorenzo Farina. "Precision medicine: Beyond AI." Computer Methods and Programs in Biomedicine Update 5 (2024): 100157. http://dx.doi.org/10.1016/j.cmpbup.2024.100157.

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Looi, Mun-Keat. "Can AI teach medicine?" BMJ 389 (May 14, 2025): r822. https://doi.org/10.1136/bmj.r822.

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Park, Seong Ho, Kyung-Hyun Do, Sungwon Kim, Joo Hyun Park, and Young-Suk Lim. "What should medical students know about artificial intelligence in medicine?" Journal of Educational Evaluation for Health Professions 16 (July 3, 2019): 18. http://dx.doi.org/10.3352/jeehp.2019.16.18.

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Artificial intelligence (AI) is expected to affect various fields of medicine substantially and has the potential to improve many aspects of healthcare. However, AI has been creating much hype, too. In applying AI technology to patients, medical professionals should be able to resolve any anxiety, confusion, and questions that patients and the public may have. Also, they are responsible for ensuring that AI becomes a technology beneficial for patient care. These make the acquisition of sound knowledge and experience about AI a task of high importance for medical students. Preparing for AI does
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albarracíín, pilar. "Ai, Ai, Ai." Gastronomica 8, no. 4 (2008): 122. http://dx.doi.org/10.1525/gfc.2008.8.4.122.

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Varun, Ahuja. "Artificial Intelligence (AI) in Drug Discovery and Medicine." Journal of Clinical Cases & Reports 2, no. 3 (2019): 76–80. http://dx.doi.org/10.46619/joccr.2019.2-1043.

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Artificial intelligence (AI) is a branch of computer science that deals with the development of algorithms that seek to simulate human intelligence. The phrase “artificial intelligence” was likely coined during a conference at Dartmouth College in 1956. The earliest work of medical AI dates back to the early 1970s. Over years, AI has found implications in various fields. In this article, we summarize its applications in drug discovery and medicine.
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Pokataev, Pavlo, Oleh Bodnarchuk, Tetiana Hryshyna, Vladyslav Korolkov, and Yurii Demianchuk. "Advertising of medicines in Ukraine: An ethical and legal view." Revista Amazonia Investiga 12, no. 64 (2023): 348–60. http://dx.doi.org/10.34069/ai/2023.64.04.37.

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The modern course of Ukraine towards economic and political and legal rapprochement with European states involves the adoption of uniform rules in the field of healthcare. The objective of this article is to examine the ethical and legal aspects of advertising medicines in the context of Ukraine's alignment with European states and the adoption of uniform healthcare rules. The article employs a dialectical method to explore the correlation between ethical and legal components in medicine advertising. By analyzing domestic normative and legislative acts, there was establish methodological featu
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Dissertations / Theses on the topic "AI in Medicine"

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Bussola, Nicole. "AI for Omics and Imaging Models in Precision Medicine and Toxicology." Doctoral thesis, Università degli studi di Trento, 2022. http://hdl.handle.net/11572/348706.

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This thesis develops an Artificial Intelligence (AI) approach intended for accurate patient stratification and precise diagnostics/prognostics in clinical and preclinical applications. The rapid advance in high throughput technologies and bioinformatics tools is still far from linking precisely the genome-phenotype interactions with the biological mechanisms that underlie pathophysiological conditions. In practice, the incomplete knowledge on individual heterogeneity in complex diseases keeps forcing clinicians to settle for surrogate endpoints and therapies based on a generic one-size-fits-al
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Shamsolmaali, A. "Artificial intelligence and physiological models in medicine : A prototypical approach." Thesis, City University London, 1988. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.382837.

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Wu, Min'er. "Mei ni ai bing ("er xuan yun") Zhong yi zhi liao de lin chuang wen xian yan jiu /." click here to view the abstract and table of contents, 2006. http://net3.hkbu.edu.hk/~libres/cgi-bin/thesisab.pl?pdf=b20009306a.pdf.

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Alzwayi, Mabroukah M. A. "An investigation of the effect of short bouts of exercise on adiponectin concentrations in young healthy females." Thesis, University of Glasgow, 2013. http://theses.gla.ac.uk/4552/.

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White adipose tissue is not just a storage organ. It is now recognised as an endocrine organ. It secretes many substances known as adipokines, which are thought to link obesity with type 2 diabetes (T2D). One of the most important adipokines is adiponectin. It is a peptide hormone consisting of 244 amino acids with molecular weight of 30 KD. It circulates in plasma in high concentrations (3-30 4g/ml). Adiponectin polymerises to form many bigger forms. Those are low molecular weight (LMW); middle molecular weight (MMW) and high molecular weight (HMW). The HMW adiponectin is the active form of t
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Franzén, Johnny. "Folkhälsovetenskap i en tid av klimatförändringar, digitalisering och orättvisa : En kartläggande studie om den artificiella intelligensens betydelse i hanteringen av klimatrelaterade folkhälsohot." Thesis, Högskolan i Skövde, Institutionen för hälsovetenskaper, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-19855.

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Introduktion: Varje år dör 300 000 människor i världen på grund av klimatförändringarna och 325 miljoner påverkas allvarligt. De som i huvudsak drabbas är människor som redan är utsatta och de finns både i rika och fattiga länder. Dessa konsekvenser leder till stora sociala orättvisor mellan utvecklade länder och outvecklade men även inom nationer, därför kommer en global hälsa i en vidare mening beträffande naturkapital, humankapital och socialt kapital att krävas. Där bördorna delas och skador undviks genom mitigation, anpassning och hälsoprevention. Den pågående digitaliseringen i samhället
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Karlsson, Jennica, and Ann Charlotte Lindberg. "Hur påverkas folkhälsan av Artificiell Intelligens? : En litteraturstudie av hur hälsans sociala bestämningsfaktorer påverkas av AI inom området avsiktliga skador." Thesis, Högskolan i Skövde, Institutionen för hälsa och lärande, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-17128.

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Introduktion: Befolkningens hälsa påverkas i hög grad av hur väl samhället vi lever i fungerar. Samhällen präglade av våld, krig och terror får negativa konsekvenser för människors hälsa. Artificiell Intelligens (AI) är en kraftfull teknik med stora möjligheter att lösa samhällsproblem, men forskare varnar för att AI också kan innebära nya risker. Syfte: Syftet med litteraturstudien är att belysa vilka utmaningar och möjligheter som en ökande utveckling och implementering av AI kan ha på hälsans sociala bestämningsfaktorer inom området avsiktliga skador. Metod: Enligt Denyer och Tranfields (20
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Liyanage, Champika. "The role of facilities management in the control of healthcare associated infections (HAI)." Thesis, Glasgow Caledonian University, 2006. http://clok.uclan.ac.uk/11997/.

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A growing body of evidence now exist, which suggests that Healthcare Associated Infections (HAI) are a major cause of morbidity and mortality. There is, however, a paucity of empirical knowledge and evidence-base of the role of Facilities Management (FM) in the control of HAI. Therefore, the main aim of this research was to investigate the role of FM in the control of HAI. The focus of the study is on domestic services. The research methodology of the study employed both qualitative and quantitative approaches. Altogether, 81 interviews were carried out involving experts in the areas of FM and
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Rönnqvist, Mats, and Magnus Johansson. "Artificiell Intelligens inom medicinsk bilddiagnostik : En allmän litteraturstudie." Thesis, Luleå tekniska universitet, Institutionen för hälsovetenskap, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-72969.

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Bakgrund: Artificiell Intelligens (AI) kommer in i vårt samhälle och våra hem i allt större utsträckning. Inom sjukvården och radiologin kan AI utgöra ett hjälpmedel för både radiologer och röntgensjuksköterskor i deras profession. Forskning om AI fortsätter med oförminskad kraft för att finna allt bättre och mer funktionsdugliga algoritmer som kan anta den utmaningen. Syfte: Syftet med denna litteraturstudie är att sammanställa vid vilka modaliteter AI används som stöd. Metod: Studien utfördes som en allmän litteraturstudie vilket genererade femton artiklar som kvalitetsgranskades och kategor
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La, Vattiata Federico Carmelo. "Intelligenza artificiale in medicina e gestione del rischio. L’imputazione del danno da AI-based medical devices e la responsabilità penale per colpa." Doctoral thesis, Università degli studi di Trento, 2022. https://hdl.handle.net/11572/356301.

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La ricerca, condotta secondo il metodo interdisciplinare e in comparazione tra Unione europea e Stati Uniti d’America, mira a indagare i profili di risk management relativi allo sviluppo e alla immissione sul mercato/messa in servizio dei dispositivi medici di intelligenza artificiale (IA). Speciale attenzione viene rivolta al ruolo del diritto penale nella gestione del “rischio da IA” (con particolare riferimento alla responsabilità colposa per “danno da dispositivo medico AI-based”) nell’ordinamento italiano, espressione della tradizione giuridica di civil law e parte dello “spazio di libert
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ALMERIGHI, CRISTIANA. "Ruolo immunomodulatorio della 1,25(OH)2D3 con particolare attenzione ai pazienti affetti da epatopatia HCV-positiva." Doctoral thesis, Università degli Studi di Roma "Tor Vergata", 2009. http://hdl.handle.net/2108/1095.

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Introduzione. La forma attiva della vitamina D3, 1,25(OH)2D3, oltre alla classica funzione sulla mineralizzazione ossea svolge un’azione immunomodulatoria indirettamente dimostrata dalla presenza del recettore della Vitamina D (Vitamin D receptor, VDR) nel timo umano e nei leucociti periferici e dai disordini immunitari in animali e pazienti con deficit di vitamina D. 1,25(OH)2D3 produce: 1) Inibizione della maturazione delle CD attraverso un meccanismo VDR-dipendente; 2) Riduzione dell’espressione delle MHC di classe II, di CD80, CD86, CD40, CD1a e CD83; 3) Potente inibizione delle risposte
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Books on the topic "AI in Medicine"

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Shaban-Nejad, Arash, Martin Michalowski, and David L. Buckeridge, eds. Explainable AI in Healthcare and Medicine. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-53352-6.

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Xu, Li. Fang ai kang ai zui qiang zhong yao 100. Wan li ji gou, De li shu ju, 2015.

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Xu, Li. Fang ai kang ai zui qiang yan fang 100. Wan li ji gou, De li shu ju, 2015.

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Peng, Mingquan. Ai zheng yao shan 60 zhong. Yang sheng tang chu ban, 2003.

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Chander, Bhanu, Koppala Guravaiah, B. Anoop, and G. Kumaravelan. Handbook of AI-Based Models in Healthcare and Medicine. CRC Press, 2023. http://dx.doi.org/10.1201/9781003363361.

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Zhang, Xiucheng. Xian dai shi yong kang ai Zhong yao. Beijing ke xue ji shu chu ban she, 1999.

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Ruberto, Maria Giovanna. La medicina ai tempi del web: Medico e paziente nell'e-health. FrancoAngeli, 2011.

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Jianhua, Cheng, Li Yibin, Yuan Chunlin, and Liu Xinhong, eds. Kang ai zhi wu yao ji qi yan fang. Jiangxi ke xue ji shu chu ban she, 1998.

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Cosmacini, Giorgio. Storia della medicina e della sanità in Italia: Dalla peste nera ai giorni nostri. GLF editori Laterza, 2010.

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AI for Radiology. Taylor & Francis Group, 2024.

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Book chapters on the topic "AI in Medicine"

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Chowdhury, Ditipriya Dutta, and Sangeeta Roy Maitra. "AI in Medicine." In Advances in Artificial Intelligence for Healthcare Applications. CRC Press, 2025. https://doi.org/10.1201/9781003503385-18.

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Cohen, Trevor A., Vimla L. Patel, and Edward H. Shortliffe. "Introducing AI in Medicine." In Cognitive Informatics in Biomedicine and Healthcare. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-09108-7_1.

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Radenkovic, Dina, Alex Zhavoronkov, and Evelyne Bischof. "AI in Longevity Medicine." In Artificial Intelligence in Medicine. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-58080-3_248-1.

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Santosh, KC, and Loveleen Gaur. "AI in Precision Medicine." In Artificial Intelligence and Machine Learning in Public Healthcare. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-6768-8_5.

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Radenkovic, Dina, Alex Zhavoronkov, and Evelyne Bischof. "AI in Longevity Medicine." In Artificial Intelligence in Medicine. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-64573-1_248.

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Sonawane, Urvi, and Matthieu Komorowski. "Artificial Intelligence in medicine." In KI-Kritik / AI Critique. transcript Verlag, 2023. http://dx.doi.org/10.14361/9783839467664-009.

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Marques, Oge. "Artificial Intelligence and Medicine: The Big Picture." In AI for Radiology. CRC Press, 2023. http://dx.doi.org/10.1201/9781003110767-1.

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Bindal, Mohini, and Pushkar Aggarwal. "Vision and AI." In Machine Learning in Medicine. Chapman and Hall/CRC, 2021. http://dx.doi.org/10.1201/9781315101323-3.

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Keshavarzi Arshadi, Arash, and Milad Salem. "AI and Immunoinformatics." In Artificial Intelligence in Medicine. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-64573-1_113.

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Gospic, Katarina A. M., and Greg Passmore. "Importance of AI in Medicine." In Artificial Intelligence in Medicine. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-58080-3_277-1.

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Conference papers on the topic "AI in Medicine"

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Sarode, Shiv Pradip, and Samiksha Khobragade. "AI in Precision Medicine." In 2024 2nd DMIHER International Conference on Artificial Intelligence in Healthcare, Education and Industry (IDICAIEI). IEEE, 2024. https://doi.org/10.1109/idicaiei61867.2024.10842767.

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Sharma, Sumit, Poornima Tyagi, Anamika Srivastava, Neetu Kumari Rajput, Puneet Garg, and Monika Kumari. "AI in Healthcare: Transforming Medicine with Intelligence." In 2025 First Global Conference on AI Research and Emerging Developments. Ganitara Research Foundation, 2025. https://doi.org/10.63169/gcared2025.p4.

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Patel, Suvarna U., and Pranita Jirvankar. "AI in Healthcare – Precision Medicine and Diagnosis." In 2024 2nd DMIHER International Conference on Artificial Intelligence in Healthcare, Education and Industry (IDICAIEI). IEEE, 2024. https://doi.org/10.1109/idicaiei61867.2024.10842772.

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Medida, Jayapal, Naresh Tangudu, B. Pruthviraj Goud, Ramarao Tandu, Kalangi Praveen Kumar, and Tns Padma. "AI Assisted Tele-Medicine Kisok for Rural India." In 2024 International Conference on Computational Intelligence for Green and Sustainable Technologies (ICCIGST). IEEE, 2024. http://dx.doi.org/10.1109/iccigst60741.2024.10717519.

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Zhang, Xia, and Wenfen Zhang. "Design and Implementation of Home Medicine Box AI System." In 2024 2nd International Conference on Computer, Vision and Intelligent Technology (ICCVIT). IEEE, 2024. https://doi.org/10.1109/iccvit63928.2024.10872470.

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Halim, Erwin, Natasha Edyta Attan, Redondo Delve Chow, and Davine Dorothy Halim. "Using AI Algorithms for Predictive Analysis in Personalized Medicine." In 2024 Ninth International Conference on Informatics and Computing (ICIC). IEEE, 2024. https://doi.org/10.1109/icic64337.2024.10956226.

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Rashmi, Garima, Amita Joshi Rana, and Virender Kaur. "AI-Augmented Bioprinting: Revolutionizing Organ Transplantation and Regenerative Medicine." In 2025 3rd International Conference on Disruptive Technologies (ICDT). IEEE, 2025. https://doi.org/10.1109/icdt63985.2025.10986649.

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Swetapadma, Subhramayee, and Rati Ranjan Dash. "Advanced Vision-Based Object Detection for Autonomous MAV Medicine Delivery." In 2025 First Global Conference on AI Research and Emerging Developments. Ganitara Research Foundation, 2025. https://doi.org/10.63169/gcared2025.p27.

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Hemasri, Chettim Chetty, M. Vijayalakshmi, and Vootukuru Jyotheesh. "Redefining Medicine: The Power of Generative AI in Modern Healthcare." In 2024 5th International Conference on Smart Electronics and Communication (ICOSEC). IEEE, 2024. http://dx.doi.org/10.1109/icosec61587.2024.10722592.

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Ghobash, Ali, R. K. Falih, Ali Suhail Najm, et al. "Digital Pathology and AI: Transforming Translational Medicine and Clinical Practice." In 2024 International Conference on IoT, Communication and Automation Technology (ICICAT). IEEE, 2024. https://doi.org/10.1109/icicat62666.2024.10923425.

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Reports on the topic "AI in Medicine"

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Pasupuleti, Murali Krishna. AI and Quantum-Nano Frontiers: Innovations in Health, Sustainability, Energy, and Security. National Education Services, 2025. https://doi.org/10.62311/nesx/rr525.

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Abstract: This research report explores transformative advancements at the intersection of Artificial Intelligence (AI), Quantum Computing, and Nanotechnology, focusing on breakthrough innovations in health, sustainability, energy, and global security. By integrating quantum algorithms, AI-driven analytics, and advanced nanomaterials, this report highlights revolutionary solutions in precision medicine, predictive diagnostics, sustainable energy storage, universal water purification, and cybersecurity. Real-world case studies and emerging technologies such as graphene-based nanomaterials, quan
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Pasupuleti, Murali Krishna. Stochastic Computation for AI: Bayesian Inference, Uncertainty, and Optimization. National Education Services, 2025. https://doi.org/10.62311/nesx/rriv325.

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Abstract: Stochastic computation is a fundamental approach in artificial intelligence (AI) that enables probabilistic reasoning, uncertainty quantification, and robust decision-making in complex environments. This research explores the theoretical foundations, computational techniques, and real-world applications of stochastic methods, focusing on Bayesian inference, Monte Carlo methods, stochastic optimization, and uncertainty-aware AI models. Key topics include probabilistic graphical models, Markov Chain Monte Carlo (MCMC), variational inference, stochastic gradient descent (SGD), and Bayes
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Pinchuk, O. P., and A. A. Prokopenko. Model of a computer-orient-ed methodological system for the development of digital competence of officers of the military administration of the Armed Forces of Ukraine in the system of qualification improvement. Національна академія Державної прикордонної служби України імені Б. Хмельницького, 2023. http://dx.doi.org/10.33407/lib.naes.736836.

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Pedagogical modeling of modern educational environments remains an urgent task of educational sciences. Research on the formation and development of digital competence of specialists, although they have common features, differ and acquire characteristic features depending on the field of application. This is due to the focus on mastering specific professional skills and increasing the professional level. We found out that, compared to the social and humanitarian sphere and medicine, the development of digital competence of specialists in the military and defense industry is little discussed in
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