The impact of artificial intelligence on the current and future practice of clinical cancer genomics

Greatbatch, Olivia; Garrett, Alice; Snape, Katie

doi:10.1017/s0016672319000089

Cited by 11 publications

(5 citation statements)

References 17 publications

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“…AI validity, on the other hand, is not always done in an optimal manner throughout AI's lifecycle (Vollmer et al, 2020 ). Accountability remains a continuing issue since it is still unclear who to hold accountable and to what extent with AI in play (Greatbatch et al, 2019 ). In addition, AI is also known to amplify certain traditional issues in research ethics.…”

Section: Discussionmentioning

confidence: 99%

Specific challenges posed by artificial intelligence in research ethics

Bouhouita-Guermech,

Gogognon,

Bélisle-Pipon

2023

Front. Artif. Intell.

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BackgroundThe twenty first century is often defined as the era of Artificial Intelligence (AI), which raises many questions regarding its impact on society. It is already significantly changing many practices in different fields. Research ethics (RE) is no exception. Many challenges, including responsibility, privacy, and transparency, are encountered. Research ethics boards (REB) have been established to ensure that ethical practices are adequately followed during research projects. This scoping review aims to bring out the challenges of AI in research ethics and to investigate if REBs are equipped to evaluate them.MethodsThree electronic databases were selected to collect peer-reviewed articles that fit the inclusion criteria (English or French, published between 2016 and 2021, containing AI, RE, and REB). Two instigators independently reviewed each piece by screening with Covidence and then coding with NVivo.ResultsFrom having a total of 657 articles to review, we were left with a final sample of 28 relevant papers for our scoping review. The selected literature described AI in research ethics (i.e., views on current guidelines, key ethical concept and approaches, key issues of the current state of AI-specific RE guidelines) and REBs regarding AI (i.e., their roles, scope and approaches, key practices and processes, limitations and challenges, stakeholder perceptions). However, the literature often described REBs ethical assessment practices of projects in AI research as lacking knowledge and tools.ConclusionEthical reflections are taking a step forward while normative guidelines adaptation to AI's reality is still dawdling. This impacts REBs and most stakeholders involved with AI. Indeed, REBs are not equipped enough to adequately evaluate AI research ethics and require standard guidelines to help them do so.

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Section: Discussionmentioning

confidence: 99%

Specific challenges posed by artificial intelligence in research ethics

Bouhouita-Guermech,

Gogognon,

Bélisle-Pipon

2023

Front. Artif. Intell.

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“…By analyzing their comprehensive medical history, socioeconomic and demographic data, symptoms, preferences, and results, AI can generate personalized recommendations that align with each patient’s unique circumstances and requirements. 12 , 13 AI can adapt to the specific needs of each patient, enabling a more targeted and personalized approach to education, thereby enhancing patient engagement, yielding better-informed decisions and overall treatment outcomes. 14 , 15 By tailoring educational resources to the individual, AI empowers patients to take an active role in their own care, promoting a sense of autonomy and improving treatment adherence.…”

Section: Benefits Of Ai In Patient Educationmentioning

confidence: 99%

Reviewing the Potential Role of Artificial Intelligence in Delivering Personalized and Interactive Pain Medicine Education for Chronic Pain Patients

Robinson,

D'Souza,

Yazdi

et al. 2024

JPR

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The integration of artificial intelligence (AI) in patient pain medicine education has the potential to revolutionize pain management. By harnessing the power of AI, patient education becomes more personalized, interactive, and supportive, empowering patients to understand their pain, make informed decisions, and actively participate in their pain management journey. AI tailors the educational content to individual patients’ needs, providing personalized recommendations. It introduces interactive elements through chatbots and virtual assistants, enhancing engagement and motivation. AI-powered platforms improve accessibility by providing easy access to educational resources and adapting content to diverse patient populations. Future AI applications in pain management include explaining pain mechanisms, treatment options, predicting outcomes based on individualized patient-specific factors, and supporting monitoring and adherence. Though the literature on AI in pain medicine and its applications are scarce yet growing, we propose avenues where AI may be applied and review the potential applications of AI in pain management education. Additionally, we address ethical considerations, patient empowerment, and accessibility barriers.

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“…23 The list of areas in healthcare that can benefit from AI, including individual and public health, is endless. [24][25][26][27][28][29][30][31][32][33][34][35][36][37] Not only can AI potentially enhance health equity by improving healthcare provision, but it also has potential to help overcome human decision-making, which is often clouded by biases (including cognitive bias); for instance, AI-based systems have helped in reducing the number of incorrectly denied refugee claims. 38…”

Section: Health Equitymentioning

confidence: 99%

Equity within AI systems: What can health leaders expect?

Gurevich

Hassan

Morr

2022

Healthc Manage Forum

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Artificial Intelligence (AI) for health has a great potential; it has already proven to be successful in enhancing patient outcomes, facilitating professional work and benefiting administration. However, AI presents challenges related to health equity defined as an opportunity for people to reach their fullest health potential. This paper discusses the opportunities and challenges that AI presents in health and examines ways in which inequities related to AI can be mitigated.

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The impact of artificial intelligence on the current and future practice of clinical cancer genomics

Cited by 11 publications

References 17 publications

Specific challenges posed by artificial intelligence in research ethics

Specific challenges posed by artificial intelligence in research ethics

Reviewing the Potential Role of Artificial Intelligence in Delivering Personalized and Interactive Pain Medicine Education for Chronic Pain Patients

Equity within AI systems: What can health leaders expect?

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