What factors contribute to the acceptance of artificial intelligence? A systematic review

Telematics and Informatics, Год журнала: 2022, Номер 77, С. 101925 - 101925

Опубликована: Дек. 14, 2022

Artificial Intelligence (AI) agents are predicted to infiltrate most industries within the next decade, creating a personal, industrial, and social shift towards new technology. As result, there has been surge of interest research user acceptance AI technology in recent years. However, existing appears dispersed lacks systematic synthesis, limiting our understanding technologies. To address this gap literature, we conducted review following Preferred Reporting Items for Systematic Reviews meta-Analysis guidelines using five databases: EBSCO host, Embase, Inspec (Engineering Village host), Scopus, Web Science. Papers were required focus on both Acceptance was defined as behavioural intention or willingness use, buy, try good service. A total 7912 articles identified database search. Sixty included review. Most studies (n = 31) did not define their papers, 38 participants. The extended Technology Model (TAM) frequently used theory assess Perceived usefulness, performance expectancy, attitudes, trust, effort expectancy significantly positively intention, willingness, use behaviour across multiple industries. some cultural scenarios, it that need human contact cannot be replicated replaced by AI, no matter perceived usefulness ease use. Given methodological approaches present literature have relied self-reported data, further naturalistic methods is needed validate theoretical model/s best predict adoption

Язык: Английский

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Challenges to implementing artificial intelligence in healthcare: a qualitative interview study with healthcare leaders in Sweden

BMC Health Services Research, Год журнала: 2022, Номер 22(1)

Опубликована: Июль 1, 2022

Artificial intelligence (AI) for healthcare presents potential solutions to some of the challenges faced by health systems around world. However, it is well established in implementation and innovation research that novel technologies are often resisted leaders, which contributes their slow variable uptake. Although on various stakeholders' perspectives AI has been undertaken, very few studies have investigated leaders' issue healthcare. It essential understand because they a key role process new The aim this study was explore perceived leaders regional Swedish setting concerning healthcare.The takes an explorative qualitative approach. Individual, semi-structured interviews were conducted from October 2020 May 2021 with 26 leaders. analysis performed using content analysis, inductive approach.The yielded three categories, representing types challenge be linked healthcare: 1) Conditions external system; 2) Capacity strategic change management; 3) Transformation professions practice.In conclusion, highlighted several relation within beyond system general organisations particular. comprised conditions system, internal capacity management, along transformation practice. results point need develop strategies across address AI-specific building. Laws policies needed regulate design execution effective strategies. There invest time resources processes, collaboration healthcare, county councils, industry partnerships.

Язык: Английский

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Ethical, legal, and social considerations of AI-based medical decision-support tools: A scoping review

International Journal of Medical Informatics, Год журнала: 2022, Номер 161, С. 104738 - 104738

Опубликована: Март 14, 2022

Язык: Английский

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The ethical issues of the application of artificial intelligence in healthcare: a systematic scoping review

AI and Ethics, Год журнала: 2022, Номер 2(4), С. 539 - 551

Опубликована: Март 28, 2022

Abstract Artificial intelligence (AI) is being increasingly applied in healthcare. The expansion of AI healthcare necessitates AI-related ethical issues to be studied and addressed. This systematic scoping review was conducted identify the application healthcare, highlight gaps, propose steps move towards an evidence-informed approach for addressing them. A search retrieve all articles examining aspects from Medline (PubMed) Embase (OVID), published between 2010 July 21, 2020. terms were “artificial intelligence” or “machine learning” “deep combination with “ethics” “bioethics”. studies selected utilizing a PRISMA flowchart predefined inclusion criteria. Ethical principles respect human autonomy, prevention harm, fairness, explicability, privacy charted. yielded 2166 articles, which 18 data charting on basis focus many general discussion about ethics AI. Nevertheless, there limited examination consideration design deployment most retrieved studies. In few instances where considered, preservation explicability equally discussed. principle harm least explored topic. Practical tools testing upholding requirements across lifecycle AI-based technologies are largely absent body reported evidence. addition, perspective different stakeholders missing.

Язык: Английский

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Implementation Frameworks for Artificial Intelligence Translation Into Health Care Practice: Scoping Review

Journal of Medical Internet Research, Год журнала: 2021, Номер 24(1), С. e32215 - e32215

Опубликована: Дек. 27, 2021

Background Significant efforts have been made to develop artificial intelligence (AI) solutions for health care improvement. Despite the enthusiasm, professionals still struggle implement AI in their daily practice. Objective This paper aims identify implementation frameworks used understand application of Methods A scoping review was conducted using Cochrane, Evidence Based Medicine Reviews, Embase, MEDLINE, and PsycINFO databases publications that reported frameworks, models, theories concerning care. focused on studies published English investigating since 2000. total 2541 unique were retrieved from screened titles abstracts by 2 independent reviewers. Selected articles thematically analyzed against Nilsen taxonomy Greenhalgh framework nonadoption, abandonment, scale-up, spread, sustainability (NASSS) technologies. Results In total, 7 met all eligibility criteria inclusion review, included formal directly addressed implementation, whereas other provided limited descriptions elements influencing implementation. Collectively, identified aligned with NASSS domains, but no single article comprehensively considered factors known influence technology New domains identified, including dependency data input existing processes, shared decision-making, role human oversight, ethics population impact inequality, suggesting do not fully consider needs Conclusions literature demonstrates understanding how practice is its early stages development. Our findings suggest further research needed provide knowledge necessary guide future clinical highlight opportunity draw field science.

Язык: Английский

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Ethical implications of AI and robotics in healthcare: A review

Medicine, Год журнала: 2023, Номер 102(50), С. e36671 - e36671

Опубликована: Дек. 15, 2023

Integrating Artificial Intelligence (AI) and robotics in healthcare heralds a new era of medical innovation, promising enhanced diagnostics, streamlined processes, improved patient care. However, this technological revolution is accompanied by intricate ethical implications that demand meticulous consideration. This article navigates the complex terrain surrounding AI healthcare, delving into specific dimensions providing strategies best practices for navigation. Privacy data security are paramount concerns, necessitating robust encryption anonymization techniques to safeguard data. Responsible handling practices, including decentralized sharing, critical preserve privacy. Algorithmic bias poses significant challenge, demanding diverse datasets ongoing monitoring ensure fairness. Transparency explainability decision-making processes enhance trust accountability. Clear responsibility frameworks essential address accountability manufacturers, institutions, professionals. Ethical guidelines, regularly updated accessible all stakeholders, guide dynamic landscape. Moreover, societal extend accessibility, equity, trust. Strategies bridge digital divide equitable access must be prioritized. Global collaboration pivotal developing adaptable regulations addressing legal challenges like liability intellectual property. Ethics remain at forefront ever-evolving realm technology. By embracing these systems professionals can harness potential robotics, ensuring responsible integration benefits patients while upholding highest standards.

Язык: Английский

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Artificial Intelligence Applications in Health Care Practice: Scoping Review

Journal of Medical Internet Research, Год журнала: 2022, Номер 24(10), С. e40238 - e40238

Опубликована: Авг. 30, 2022

Artificial intelligence (AI) is often heralded as a potential disruptor that will transform the practice of medicine. The amount data collected and available in health care, coupled with advances computational power, has contributed to AI an exponential growth publications. However, development applications does not guarantee their adoption into routine practice. There risk despite resources invested, benefits for patients, staff, society be realized if implementation better understood.The aim this study was explore how care been described researched literature by answering 3 questions: What are characteristics research on practice? types systems described? process discernible?A scoping review conducted MEDLINE (PubMed), Scopus, Web Science, CINAHL, PsycINFO databases identify empirical studies since 2011, addition snowball sampling selected reference lists. Using Rayyan software, we screened titles abstracts full-text articles. Data from included articles were charted summarized.Of 9218 records retrieved, 45 (0.49%) included. cover diverse clinical settings disciplines; most (32/45, 71%) published recently, high-income countries (33/45, 73%), intended providers (25/45, 56%). predominantly particularly pertaining patient-provider encounters. More than half (24/45, 53%) possess no action autonomy but rather support human decision-making. focus establishing effectiveness interventions (16/45, 35%) or related technical aspects (11/45, 24%). Focus specifics processes yet seem priority research, use frameworks guide rare.Our current knowledge derives implementations low approaches common other information systems. To develop specific empirically based framework, further needed more disruptive being implemented unique such building trust, addressing transparency issues, developing explainable interpretable solutions, ethical concerns around privacy protection.

Язык: Английский

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Using artificial intelligence to improve public health: a narrative review

Frontiers in Public Health, Год журнала: 2023, Номер 11

Опубликована: Окт. 26, 2023

Artificial intelligence (AI) is a rapidly evolving tool revolutionizing many aspects of healthcare. AI has been predominantly employed in medicine and healthcare administration. However, public health, the widespread employment only began recently, with advent COVID-19. This review examines advances health potential challenges that lie ahead. Some ways aided delivery are via spatial modeling, risk prediction, misinformation control, surveillance, disease forecasting, pandemic/epidemic diagnosis. implementation not universal due to factors including limited infrastructure, lack technical understanding, data paucity, ethical/privacy issues.

Язык: Английский

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The value of standards for health datasets in artificial intelligence-based applications

Nature Medicine, Год журнала: 2023, Номер 29(11), С. 2929 - 2938

Опубликована: Окт. 26, 2023

Abstract Artificial intelligence as a medical device is increasingly being applied to healthcare for diagnosis, risk stratification and resource allocation. However, growing body of evidence has highlighted the algorithmic bias, which may perpetuate existing health inequity. This problem arises in part because systemic inequalities dataset curation, unequal opportunity participate research access. study aims explore standards, frameworks best practices ensuring adequate data diversity datasets. Exploring literature expert views an important step towards development consensus-based guidelines. The comprises two parts: systematic review datasets; survey thematic analysis stakeholder equity artificial device. We found that need was well described literature, experts generally favored robust set guidelines, but there were mixed about how these could be implemented practically. outputs this will used inform standards transparency datasets (the STANDING Together initiative).

Язык: Английский

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Ethical Conundrums in the Application of Artificial Intelligence (AI) in Healthcare—A Scoping Review of Reviews

Journal of Personalized Medicine, Год журнала: 2022, Номер 12(11), С. 1914 - 1914

Опубликована: Ноя. 16, 2022

With the availability of extensive health data, artificial intelligence has an inordinate capability to expedite medical explorations and revamp healthcare.Artificial is set reform practice medicine soon. Despite mammoth advantages in field, there exists inconsistency ethical legal framework for application AI healthcare. Although research been conducted by various disciplines investigating implications healthcare setting, literature lacks a holistic approach.The purpose this review ascertain concerns applications healthcare, identify knowledge gaps provide recommendations framework.Electronic databases Pub Med Google Scholar were extensively searched based on search strategy pertaining review. Further screening included articles was done grounds inclusion exclusion criteria.The yielded total 1238 articles, out which 16 identified be eligible The selection strictly criteria mentioned manuscript.Artificial (AI) exceedingly puissant technology, with prospect advancing years come. Nevertheless, brings it colossally abundant number problems associated its There are manifold stakeholders issues revolving around medicine. Thus, multifaceted approach involving policymakers, developers, providers patients crucial arrive at feasible solution mitigating

Язык: Английский

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