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Dissertations / Theses on the topic 'Healthcare AI'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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1

Andersson, Oscar, and Tim Andersson. "AI applications on healthcare data." Thesis, Högskolan i Halmstad, Akademin för informationsteknologi, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-44752.

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The purpose of this research is to get a better understanding of how different machine learning algorithms work with different amounts of data corruption. This is important since data corruption is an overbearing issue within data collection and thus, in extension, any work that relies on the collected data. The questions we were looking at were: What feature is the most important? How significant is the correlation of features? What algorithms should be used given the data available? And, How much noise (inaccurate or unhelpful captured data) is acceptable? The study is structured to introdu

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2

PANIGUTTI, Cecilia. "eXplainable AI for trustworthy healthcare applications." Doctoral thesis, Scuola Normale Superiore, 2022. https://hdl.handle.net/11384/125202.

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Acknowledging that AI will inevitably become a central element of clinical practice, this thesis investigates the role of eXplainable AI (XAI) techniques in developing trustworthy AI applications in healthcare. The first part of this thesis focuses on the societal, ethical, and legal aspects of the use of AI in healthcare. It first compares the different approaches to AI ethics worldwide and then focuses on the practical implications of the European ethical and legal guidelines for AI applications in healthcare. The second part of the thesis explores how XAI techniques can help meet thr

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3

Jönsson, Josef. "AI acceptance and attitudes : People’s perception of healthcare and commercial AI applications." Thesis, Linköpings universitet, Institutionen för datavetenskap, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-176507.

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The relevance of AI is ever increasing. The goal of the wide implementation is usually either to boost task efficiency or for public comfort. To fuel this progression, more personal data is being used and Artificial intelligence inhabits the role of the human expert, in many different applications. This study investigated the attitudes and rates of acceptance to said AI applications and if they differed in relation to each other. Additionally, this study explored if general positive and negative attitude towards AI influence AI acceptance. Applications studied came from two different domains,

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Årnfelt, Theodor. "Risk-benefit perception of AI use : Public perception of AI in healthcare and commercial domains." Thesis, Linköpings universitet, Institutionen för datavetenskap, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-177750.

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AI applications are today implemented in a wide range of settings with the goal of achieving greater efficiency. However, these implementations can not be guaranteed to be free of risks. This study investigated how people perceive these risks and benefits, and whether there were any notable differences to be found between the domains in which they appear, in this case e-commerce/marketing and healthcare. Additionally, the relationship between the perceptions and individual positive and negative attitudes towards AI were examined by utilizing an affect heuristic framework. The findings showed t

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5

State, Christopher. "Designing conversational AI for digital healthcare in regards to accessibility." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-279589.

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The area of Conversational AI in healthcare is gaining traction, especially in this rapid and global spread of COVID-19. An increased number of digital services have emerged in order to tackle this pandemic. Conversational AI is an example found in this study that can be used to quickly get information about symptoms and help the individual in their self-assessment. Users can quickly and easily can get in touch with healthcare professionals in ways that work for the individual, who no longer has to rely solely on phone calls. In this study, a proof-of-concept is designed and evaluated together

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Jonson, Maja, and Prajwal Modani. "Diagnosing Doctors and AI : What the introduction of AI can tell us about the professional role of physicians." Thesis, Uppsala universitet, Företagsekonomiska institutionen, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-448747.

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Artificial Intelligence (AI) is being implemented in various industries and shows promise within healthcare. AI has potential to perform tasks that a professional would traditionally do, and it thus looks to be a disruptive technology. Professional workers, like physicians, are likely to resist such implementations to protect the high status of their profession. As professional workers and healthcare hold significant roles in society, we found that research on how they are affected by AI is needed. This study takes place in the beginning of the introduction in Swedish hospitals. To gain insigh

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Mendes, David, M. J. Lopes, Artur Romão, and Irene Pimenta Rodrigues. "Healthcare Computer Reasoning Addressing Chronically Ill Societies Using IoT: Deep Learning AI to the Rescue of Home-Based Healthcare." Bachelor's thesis, IGI Global, 2016. http://hdl.handle.net/10174/19286.

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The authors present a proposal to develop intelligent assisted living environments for home based healthcare. These environments unite the chronical patient clinical history sematic representation with the ability of monitoring the living conditions and events recurring to a fully managed Semantic Web of Things (SWoT). Several levels of acquired knowledge and the case based reasoning that is possible by knowledge representation of the health-disease history and acquisition of the scientific evidence will deliver, through various voice based natural interfaces, the adequate support systems for

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8

Olsson, Catrin, and Sara Ekström. "Utmaningar med AI för patientcentrerad och jämlik vård : En studie om varför hälso- och sjukvården möter utmaningar vid implementering av AI i syfte att stödja patientcentrerad och jämlik vård." Thesis, Högskolan i Halmstad, Akademin för informationsteknologi, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-44280.

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Efter en kartläggning som Socialstyrelsen utfört över hälso- och sjukvårdens nyttjande avArtificiell Intelligens (AI), har det konstaterats att det finns utrymme och potential för ett mereffektivt användande av tekniken. Men trots att potential och fördelar med AI presenteras,möter branschen motgångar och utmaningar vid införandet av tekniken. I rapportenpresenteras några av de utmaningar som kan uppstå vid arbetet med att införa AI-teknik inomhälso- och sjukvården samt varför de förväntade effekterna inte uppnås. Studien har utgåttfrån en kvalitativ forskningsansats i syfte att genomföra empi

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9

Jonsson, Hanna, and Luyolo Mazomba. "Revenue Generation in Data-driven Healthcare : An exploratory study of how big data solutions can be integrated into the Swedish healthcare system." Thesis, Umeå universitet, Företagsekonomi, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-161384.

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Abstract The purpose of this study is to investigate how big data solutions in the Swedish healthcare system can generate a revenue. As technology continues to evolve, the use of big data is beginning to transform processes in many different industries, making them more efficient and effective. The opportunities presented by big data have been researched to a large extent in commercial fields, however, research in the use of big data in healthcare is scarce and this is particularly true in the case of Sweden. Furthermore, there is a lack in research that explores the interface between big data

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10

Aldin, Andreas, and Victor Larsson. "Attityder, byråkrati och meningsskapande i samband med AI i sjukvården : En kvalitativ undersökning." Thesis, Uppsala universitet, Institutionen för informatik och media, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-446400.

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This thesis explores attitudes towards Artificial Intelligence within the Swedish Public healthcare system. The goal of the study was to attain a deeper understanding of how hospitals and healthcare officials perceive and think about the technology and what it means to them in their professional life. Our primary data was collected from ten interviews conducted with decision-makers at Karolinska University Hospital in Stockholm and Akademiska University Hospital in Uppsala. The material was analysed through a discourse analysis, through which four themes were identified, each of which describe

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11

Bohlander, Joacim. "AI-system för sjukvården - en studie kring design av förklaringar till AI-modeller och dess inverkan på sjukvårdspersonalens förståelse och tillit." Thesis, Högskolan i Skövde, Institutionen för informationsteknologi, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-19975.

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Användningsområdena för artificiell intelligens ökar ständigt vilket är inte förvånande då AIs förmåga att lösa komplicerade problem många gånger överstiger den mänskliga motsvarigheten. Implementeringen av AI-system har ibland gått så långt att utvecklarna själva inte längre vet hur systemet har tagit fram en slutsats; vilket har gjort att möjligheten att undersöka, förstå och felsöka utfall är näst intill icke-existerande. Eftersom dagens AI-system inte erbjuder förklaringar till utfallen har det resulterat i en ovilja hos slutanvändaren. Forskningsområdet eXplainable AI (XAI) menar att geno

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12

ANZANELLO, LUCREZIA GIORGIA MARIA. "Sanità, welfare privato e sistema pubblico: un’analisi comparata dall’Obama Care ai modelli europei." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2020. http://hdl.handle.net/10281/259334.

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La ricerca indaga, attraverso gli strumenti della comparazione giuridica, quali risposte il diritto come scienza sociale stia offrendo al problema diffuso in tutto il mondo occidentale di una maggiore esigenza di assistenza sanitaria, anche e soprattutto quale conseguenza dell'insufficienza di risorse finanziarie pubbliche e della mancanza di supporto da parte degli organi istituzionali. Nei paesi europei è dimostrato come la necessità di trovare il giusto equilibrio tra pubblico e privato, nel campo della sanità e della tutela dei diritti fondamentali, sia tutt'altro che facile da soddisfare

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13

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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14

Castellucci, Matteo. "Applicazione di tecniche AI per la progettazione di un sistema a supporto del paziente iperteso." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2020. http://amslaurea.unibo.it/21654/.

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In questa tesi si è cercato di trovare le soluzioni più efficaci a supporto delle questioni legate all'ipertensione di seguito descritte attraverso l'uso di tecniche riguardanti l'intelligenza artificiale e l'Internet of Things. Uno tra i compiti dei medici che si occupano di curare i malati di ipertensione è quello di elaborare protocolli per quanto riguarda la prevenzione e la cura di questa malattia, i quali vengono periodicamente aggiornati. Per supportare ciò, il primo progetto sviluppato è consistito in un'analisi dei dati sul dataset ottenuto a partire dall'elaborazione delle risposte

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15

Söllner, 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.

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16

Yücel, Aysun. "Balansgången mellan skydd av personlig integritet och skydd för företagshemligheter : Med särskilt fokus på forskning om AI-teknik inom sjukvård." Thesis, Stockholms universitet, Juridiska institutionen, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-171563.

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Sammanfattning Vi lever i en alltmer digitaliserad värld där utvecklad teknik kan bidra till att lösa flertalet samhällsproblem. Till exempel är intresset av avancerad AI-teknik inom sjukvård alltmer efterfrågat. AI-teknik har stor potential att stödja sjukvårdspersonal och individer, förkorta köer och förbättra vården. Tekniken bygger på insamlandet av stora mängder data som ska programmeras till att härma intelligent beteende. Åtskilliga känsliga personuppgifter behandlas i och med insamlandet av denna data. Inom ramen för den pågående debatten om personlig integritet skapas samtidigt en pot

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17

Almer, Jasmine, and Julia Ivert. "Artificiell Intelligens framtidsutsikter inom sjukvården : En studie om studerande sjuksköterskors attityder gällande Artificiell Intelligens inom sjukvården." Thesis, Uppsala universitet, Institutionen för informatik och media, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-413725.

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Artificial Intelligence is an area that has developed radically in recent years and is constantly evolving in several industries. In this thesis, a qualitative case study is conducted which addresses student nurses' attitudes regarding Artificial Intelligence in Swedish healthcare and its use in the future. Through interviews conducted with Uppsala University student nurses, the empirical material is analyzed using the Technology Acceptance Model (TAM) theory to finally produce a result regarding the future use of Artificial Intelligence in healthcare. The analysis resulted in two evident area

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18

Walker, 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.

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19

Chahin, Pietro, and Christopher Oskarsson. "Hur kan en digital plattform tillämpas för att effektivisera patienthantering? : En kvalitativ fallstudie om implementering av en digital plattform för digitalisering av patienthantering ur ett leverantörsperspektiv." Thesis, Södertörns högskola, Institutionen för naturvetenskap, miljö och teknik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:sh:diva-45962.

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Digital platforms in healthcare have become an increasingly implemented tool to facilitate and streamline daily care work in hospitals and health centers. In parallel with the new digitized era, this digital transformation has had a major impact on individuals' ways of working in healthcare. It is thus significant that digital competence is prioritized to achieve the intended goals regarding streamlining patient management. The qualitative study sheds light on how digi-physical care affects everyday care work and the patient journey. The study also intends to conclude how digital care platform

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20

Perez-Torrents, Joël. "Gérer la collaboration entre l’expert métier et l’Intelligence Artificielle : Deux études de cas dans le système de soins." Electronic Thesis or Diss., Institut polytechnique de Paris, 2024. https://theses.hal.science/tel-04780193.

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L’Intelligence Artificielle (IA) mobilise des méthodes d’apprentissage machine pour automatiser la création de modèles statistiques complexes. Ces outils d’IA peuvent accomplir des tâches avec des performances similaires à celles des experts, mais la manière dont les résultats sont produits reste souvent opaque, posant des défis pour leur intégration dans les organisations. Cette thèse explore la collaboration entre les experts métier et les outils d’IA dans le contexte du système de soins.Dans le système de soins, cette collaboration est cruciale en raison de la responsabilité professionnelle

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21

Franzén, Ähdel Carina, and Wilén Frida Bulukin. "Alla vill varandras väl : Hur ledarskap genom medarbetarskap i en kvalitetskultur skaparpatientnöjdhet vid svenska sjukhus." Thesis, Mittuniversitetet, Avdelningen för kvalitets- och maskinteknik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-38812.

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Engagerat ledarskap är grunden till att skapa en god kvalitetskultur och för attlyckas krävs medarbetarskapets delaktighet. Forskare menar att stödet förnärvarande ledare i vården har fram tills idag varit tämligen outvecklat. Syftetmed denna studie var att förstå framgångsfaktorer för hur kvalitetskulturen isvensk sjukvård kan kopplas mot ledarnas möjlighet att främja ett gottmedarbetarskap. Detta utifrån en förklarande sekventiell mixad metod med tvåkvantitativa mätningar som slutligen resulterade i en kvalitativ intervju. Enmätning av kvalitetskulturen vid svenska sjukhus utfördes utifrån e

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22

Toofanee, Mohammud Shaad Ally. "An innovative ecosystem based on deep learning : Contributions for the prevention and prediction of diabetes complications." Electronic Thesis or Diss., Limoges, 2023. https://aurore.unilim.fr/theses/nxfile/default/656b0a1f-2ff2-49c5-bb3e-f34704d6f6b0/blobholder:0/2023LIMO0107.pdf.

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En 2021, le diabète touchait environ 537 millions de personnes dans le monde. Ce chiffre devrait grimper à 643 millions d'ici 2030 et 783 millions d'ici 2045. Le diabète est une maladie métabolique persistante qui nécessite des soins et une gestion quotidiens continus. Le fardeau des maladies chroniques pèse lourdement sur les systèmes de santé lorsqu'il touche une partie substantielle de la population. De telles circonstances ont un impact négatif non seulement sur le bien-être général d'une grande partie de la population, mais contribuent également de manière significative aux dépenses de sa

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23

Floruss, Julia, and Nico Vahlpahl. "Artificial Intelligence in Healthcare : Acceptance of AI-based Support Systems by Healthcare Professionals." Thesis, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-48572.

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24

CHEN, SIEW-YEN, and 陳曉圓. "Taiwan’s Personal Data Protection and AI Smart Healthcare Industry." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/p7sv72.

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碩士<br>國立臺北科技大學<br>智慧財產權研究所<br>107<br>While the world is amazed by AI, Taiwan is bewildered on critical nation issues which rapidly ageing population and low birth rates. With an ageing population, the significance of taking care of the old is plainly obvious. Howbeit, what being proud of is, Taiwan has earned recognition as one of the world’s best health care systems and also numerous of hospital has been ranked as top hospitals in the world. Furthermore, with the encouragement from Taiwan government on higher education and research in the past several years, Taiwan has trained a diverse pool

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25

Hoppe, Niklas. "Disruptive innovation in the healthcare sector : the advent of AI chatbots." Master's thesis, 2020. http://hdl.handle.net/10400.14/31219.

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Over the last several decades, the healthcare sector has faced many challenges. These include a shortage of doctors, especially in rural areas, high clinical costs, and an increasing number of diseases needing to be treated. This thesis focuses on the potential and the limitations of an innovative way to solve problems in healthcare – use of AI chatbots. We highlight the user’s perspective concerning AI healthcare chatbot technology. Based on qualitative and quantitative research, we conclude that this novel technology offers new opportunities for diagnostics, enables work to be carried out mo

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26

Tan, Hao-Wen, and 譚皓文. "A Strategic foresight in the applications of AI in The Remote Healthcare." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/jy6y2m.

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碩士<br>國立交通大學<br>科技管理研究所<br>106<br>This dissertation focuses on the application of artificial intelligence in the remote medical service industry, reviews the current application of artificial intelligence medical technology and the research trend of the remote medical. And we use the Innovation Intensive Service (IIS) to conduct enterprise-level analysis. With four kinds of customization as the horizontal axis and five kinds of innovation as the vertical axis, an IIS matrix reflecting 20 types of business operations is constructed. Through expert interviews and questionnaires, we draw the conc

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27

Wang, Li-Ling, and 王莉羚. "The Application of IoT to AI Healthcare - An Example of Mayan Pyramid Architecture." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/2et82a.

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碩士<br>國立交通大學<br>管理學院高階主管管理碩士學程<br>107<br>the IoT supply chain platform covers different levels of support solutions such as IAAS, PAAS and SAAS. Through the IoT architecture of terminal devices, software framework, application, sensing devices, servers, etc., it assists in the effective collection & analysis of medical big data, picture archiving, and communication. Immediate transmission, effective provision of Preventive care, patient tracking, telemedicine, Internet of Things to AI-healthcare, can effectively help structuring and analysis of medical data to support clinicians and patients f

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Nasseef, O. A., A. M. Baabdullah, A. A. Alalwan, Banita Lal, and Y. K. Dwivedi. "Artificial Intelligence-based Public Healthcare Systems: G2G Knowledge-based Exchange to Enhance the Decision-making Process." 2021. http://hdl.handle.net/10454/18594.

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Yes<br>With the rapid evolution of data over the last few years, many new technologies have arisen with artificial intelligent (AI) technologies at the top. Artificial intelligence (AI), with its infinite power, holds the potential to transform patient healthcare. Given the gaps revealed by the 2020 COVID-19 pandemic in healthcare systems, this research investigates the effects of using an artificial intelligence-driven public healthcare framework to enhance the decision-making process using an extended model of Shaft and Vessey (2006) cognitive fit model in healthcare organizations in Saudi A

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Thurner, Thomas. "The influence factors of the patients’ usage intention of AI-based preliminary diagnosis tools : the case study of Ada." Master's thesis, 2020. http://hdl.handle.net/10400.14/29804.

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At present Artificial Intelligence (AI) is transforming the mechanisms and limitations of numerous industries. The healthcare sector is particularly affected with regard to the informative value of processing and analysing patient data through AI-based technologies. Public fund cuts and structural inefficiencies among other reasons, further aggregate the necessity of effectively employing the provided patient information. The majority of healthcare facilities, however, lack the resources or technical knowhow to realize the entire potential of Artificial Intelligence as a mean. As a consequence

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