Legal concerns in health-related artificial intelligence: a scoping review protocol DOI Creative Commons
Michael Da Silva, Tanya Horsley, Devin Singh

и другие.

Systematic Reviews, Год журнала: 2022, Номер 11(1)

Опубликована: Июнь 17, 2022

Medical innovations offer tremendous hope. Yet, similar in governance (law, policy, ethics) are likely necessary if society is to realize medical innovations' fruits and avoid their pitfalls. As artificial intelligence (AI) advance at a rapid pace, scholars across multiple disciplines articulating concerns health-related AI that require legal responses ensure the requisite balance. These scholarly perspectives may provide critical insights into most pressing challenges will help shape future regulatory reforms. best of our knowledge, there no comprehensive summary literature examining relation AI. We thus aim summarize map using scoping review approach.The framework developed by (J Soc Res Methodol 8:19-32, 2005) extended (Implement Sci 5:69, 2010) Preferred Reporting Items for Systematic Reviews Meta-Analysis extension reviews (PRISMA-ScR) guided protocol development. In close consultation with trained librarians, we develop highly sensitive search MEDLINE® (OVID) adapt it databases designed comprehensively capture texts law, medicine, nursing, pharmacy, other healthcare professions (e.g., dentistry, nutrition), public health, computer science, engineering. English- French-language records be included they examine AI, describe or prioritize concern propose solution thereto, were published 2012 later. Eligibility assessment conducted independently duplicate all stages. Coded data analyzed along themes stratified discipline-specific literatures.This first-of-its-kind available examining, documenting, prioritizing law policy reform(s). The also reveal concerns, priorities, proposed solutions concerns. It thereby identify priority areas should focus reforms options stakeholders reform processes.This was submitted Open Science Foundation registration database. See https://osf.io/zav7w .

Язык: Английский

Priorities for successful use of artificial intelligence by public health organizations: a literature review DOI Creative Commons
Stacey Fisher, Laura C. Rosella

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

Опубликована: Ноя. 22, 2022

Artificial intelligence (AI) has the potential to improve public health's ability promote health of all people in communities. To successfully realize this and use AI for functions it is important organizations thoughtfully develop strategies implementation. Six key priorities successful technologies by are discussed: 1) Contemporary data governance; 2) Investment modernized analytic infrastructure procedures; 3) Addressing skills gap workforce; 4) Development strategic collaborative partnerships; 5) Use good practices transparency reproducibility, and; 6) Explicit consideration equity bias.

Язык: Английский

Процитировано

73
Challenges and strategies for wide-scale artificial intelligence (AI) deployment in healthcare practices: A perspective for healthcare organizations DOI
Pouyan Esmaeilzadeh

Artificial Intelligence in Medicine, Год журнала: 2024, Номер 151, С. 102861 - 102861

Опубликована: Март 30, 2024

Язык: Английский

Процитировано

71
Computational pathology in 2030: a Delphi study forecasting the role of AI in pathology within the next decade DOI Creative Commons
M. Álvaro Berbís, David S. McClintock, Andrey Bychkov

и другие.

EBioMedicine, Год журнала: 2023, Номер 88, С. 104427 - 104427

Опубликована: Янв. 4, 2023

Artificial intelligence (AI) is rapidly fuelling a fundamental transformation in the practice of pathology. However, clinical integration remains challenging, with no AI algorithms to date routine adoption within typical anatomic pathology (AP) laboratories. This survey gathered current expert perspectives and expectations regarding role AP from those first-hand computational experience.Perspectives were solicited using Delphi method 24 subject matter experts between December 2020 February 2021 anticipated by year 2030. The study consisted three consecutive rounds: 1) an open-ended, free response questionnaire generating list items; 2) Likert-scale scored analysed for consensus; 3) repeat items not reaching consensus obtain further consensus.Consensus opinions reached on 141 180 (78.3%). Experts agreed that would be routinely impactfully used laboratory pathologist workflows High was 100 across nine categories encompassing impact (1) key performance indicators (KPIs) (2) workforce specific tasks performed (3) pathologists (4) lab technicians, as well (5) applications their likelihood use 2030, (6) AI's integrated diagnostics, (7) likely fully automated AI, (8) regulatory/legal (9) ethical aspects pathology.This systematic details expected short-to-mid-term practice. These findings provide timely relevant information future care delivery raise practical, ethical, legal challenges must addressed prior successful implementation.No funding provided this study.

Язык: Английский

Процитировано

64
Artificial Intelligence in Medicine and Dentistry DOI Creative Commons
Marin Vodanović, Marko Subašić, Denis Milošević

и другие.

Acta Stomatologica Croatica, Год журнала: 2023, Номер 57(1), С. 70 - 84

Опубликована: Март 15, 2023

Introduction: Artificial intelligence has been applied in various fields throughout history, but its integration into daily life is more recent.The first applications of AI were primarily academia and government research institutions, as technology advanced, also industry, commerce, medicine dentistry.Objective: Considering that the possibilities applying artificial are developing rapidly this field one areas with greatest increase number newly published articles, aim paper was to provide an overview literature give insight dentistry.In addition, discuss advantages disadvantages.Conclusion: The dentistry just being discovered.Artificial will greatly contribute developments dentistry, it a tool enables development progress, especially terms personalized healthcare lead much better treatment outcomes.

Язык: Английский

Процитировано

51
Your robot therapist is not your therapist: understanding the role of AI-powered mental health chatbots DOI Creative Commons
Zoha Khawaja, Jean‐Christophe Bélisle‐Pipon

Frontiers in Digital Health, Год журнала: 2023, Номер 5

Опубликована: Ноя. 8, 2023

Artificial intelligence (AI)-powered chatbots have the potential to substantially increase access affordable and effective mental health services by supplementing work of clinicians. Their 24/7 availability accessibility through a mobile phone allow individuals obtain help whenever wherever needed, overcoming financial logistical barriers. Although psychological AI ability make significant improvements in providing care services, they do not come without ethical technical challenges. Some major concerns include inadequate or harmful support, exploiting vulnerable populations, potentially producing discriminatory advice due algorithmic bias. However, it is always obvious for users fully understand nature relationship with chatbots. There can be misunderstandings about exact purpose chatbot, particularly terms expectations, adapt particularities responsiveness needs resources/treatments that offered. Hence, imperative are aware limited therapeutic enjoy when interacting Ignorance misunderstanding such limitations role may lead misconception (TM) where user would underestimate restrictions technologies overestimate their provide actual support guidance. TM raises exacerbate one's contributing global crisis. This paper will explore various ways which occur inaccurate marketing these chatbots, forming digital alliance them, receiving bias design algorithm, inability foster autonomy patients.

Язык: Английский

Процитировано

45
An introduction to digital determinants of health DOI Creative Commons
Swathikan Chidambaram, Bhav Jain, Urvish Jain

и другие.

PLOS Digital Health, Год журнала: 2024, Номер 3(1), С. e0000346 - e0000346

Опубликована: Янв. 4, 2024

In recent years, technology has been increasingly incorporated within healthcare for the provision of safe and efficient delivery services. Although this can be attributed to benefits that harnessed, digital potential exacerbate reinforce preexisting health disparities. Previous work highlighted how sociodemographic, economic, political factors affect individuals’ interactions with systems are termed social determinants [SDOH]. But, there is a paucity literature addressing intrinsic design, implementation, use interact SDOH influence outcomes. Such [DDOH]. This paper will, first time, propose definition DDOH provide conceptual model characterizing its on Specifically, implicit in design artificial intelligence systems, mobile phone applications, telemedicine, literacy [DHL], other forms technology. A better appreciation by various stakeholders at individual societal levels channeled towards policies more digitally inclusive. tandem ongoing minimize divide caused existing SDOH, further necessary recognize as an important distinct entity.

Язык: Английский

Процитировано

34
Generative artificial intelligence and ethical considerations in health care: a scoping review and ethics checklist DOI Creative Commons
Yilin Ning,

Salinelat Teixayavong,

Yuqing Shang

и другие.

The Lancet Digital Health, Год журнала: 2024, Номер unknown

Опубликована: Сен. 1, 2024

Язык: Английский

Процитировано

28
Green and sustainable AI research: an integrated thematic and topic modeling analysis DOI Creative Commons
Raghu Raman, Debidutta Pattnaik, Hiran H. Lathabai

и другие.

Journal Of Big Data, Год журнала: 2024, Номер 11(1)

Опубликована: Апрель 22, 2024

Abstract This investigation delves into Green AI and Sustainable literature through a dual-analytical approach, combining thematic analysis with BERTopic modeling to reveal both broad clusters nuanced emerging topics. It identifies three major clusters: (1) Responsible for Development, focusing on integrating sustainability ethics within technologies; (2) Advancements in Energy Optimization, centering energy efficiency; (3) Big Data-Driven Computational Advances, emphasizing AI’s influence socio-economic environmental aspects. Concurrently, uncovers five topics: Ethical Eco-Intelligence, Neural Computing, Healthcare Intelligence, Learning Quest, Cognitive Innovation, indicating trend toward embedding ethical considerations research. The study reveals novel intersections between significant research trends identifying Intelligence Quest as evolving areas societal impacts. advocates unified approach innovation AI, promoting integrity foster responsible development. aligns the Development Goals, need ecological balance, welfare, innovation. refined focus underscores critical development lifecycle, offering insights future directions policy interventions.

Язык: Английский

Процитировано

27
The Role of Artificial Intelligence in Identifying Depression and Anxiety: A Comprehensive Literature Review DOI Open Access

Fabeha Zafar,

Laraib Fakhare Alam,

Rafael R Vivas

и другие.

Cureus, Год журнала: 2024, Номер unknown

Опубликована: Март 19, 2024

This narrative literature review undertakes a comprehensive examination of the burgeoning field, tracing development artificial intelligence (AI)-powered tools for depression and anxiety detection from level intricate algorithms to practical applications. Delivering essential mental health care services is now significant public priority. In recent years, AI has become game-changer in early identification intervention these pervasive disorders. can potentially empower behavioral healthcare by helping psychiatrists collect objective data on patients' progress tasks. study emphasizes current understanding AI, different types its use multiple disorders, advantages, disadvantages, future potentials. As technology develops digitalization modern era increases, there will be rise application psychiatry; therefore, needed. We searched PubMed, Google Scholar, Science Direct using keywords this. studies electronic records (EHR) with machine learning techniques diagnosing all clinical conditions, roughly 99 publications have been found. Out these, 35 were identified disorders age groups, among them, six utilized EHR sources. By critically analyzing prominent scholarly works, we aim illuminate state this technology, exploring successes, limitations, directions. doing so, hope contribute nuanced AI's potential revolutionize diagnostics pave way further research important domain.

Язык: Английский

Процитировано

19
Research ethics and artificial intelligence for global health: perspectives from the global forum on bioethics in research DOI Creative Commons
James Shaw, Joseph Ali, Caesar Atuire

и другие.

BMC Medical Ethics, Год журнала: 2024, Номер 25(1)

Опубликована: Апрель 18, 2024

Abstract Background The ethical governance of Artificial Intelligence (AI) in health care and public continues to be an urgent issue for attention policy, research, practice. In this paper we report on central themes related challenges strategies promoting ethics research involving AI global health, arising from the Global Forum Bioethics Research (GFBR), held Cape Town, South Africa November 2022. Methods GFBR is annual meeting organized by World Health Organization supported Wellcome Trust, US National Institutes Health, UK Medical Council (MRC) African MRC. forum aims bring together ethicists, researchers, policymakers, committee members other actors engage with opportunities specifically ethics. 2022 focus was “Ethics Research”. consisted 6 case study presentations, 16 a series small group large discussions. A total 87 participants attended 31 countries around world, representing disciplines bioethics, AI, professional practice, funding, bioinformatics. paper, highlight insights Results We describe significance four thematic forum: (1) Appropriateness building (2) Transferability systems, (3) Accountability decision-making outcomes, (4) Individual consent. then eight recommendations leaders enhance addressing issues such as impact assessments, environmental values, fair partnerships. Conclusions illustrated several innovations well areas need internationally. This summary intended inform international domestic efforts strengthen support evolution leadership meet demands research.

Язык: Английский

Процитировано

19