发布求助
文献互助 智能选刊 最新文献

Future healthcare journal最新文献

筛选
英文 中文
Artificial intelligence: friend or foe? 人工智能：是敌是友？
Future healthcare journal Pub Date : 2024-09-19 eCollection Date: 2024-09-01 DOI: 10.1016/j.fhj.2024.100184
Andrew Duncombe
{"title":"Artificial intelligence: friend or foe?","authors":"Andrew Duncombe","doi":"10.1016/j.fhj.2024.100184","DOIUrl":"10.1016/j.fhj.2024.100184","url":null,"abstract":"","PeriodicalId":73125,"journal":{"name":"Future healthcare journal","volume":"11 3","pages":"100184"},"PeriodicalIF":0.0,"publicationDate":"2024-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11452833/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142382626","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Democratising artificial intelligence in healthcare: community-driven approaches for ethical solutions. 医疗保健领域的人工智能民主化：社区驱动的伦理解决方案。
Future healthcare journal Pub Date : 2024-09-19 eCollection Date: 2024-09-01 DOI: 10.1016/j.fhj.2024.100165
Ceilidh Welsh, Susana Román García, Gillian C Barnett, Raj Jena
{"title":"Democratising artificial intelligence in healthcare: community-driven approaches for ethical solutions.","authors":"Ceilidh Welsh, Susana Román García, Gillian C Barnett, Raj Jena","doi":"10.1016/j.fhj.2024.100165","DOIUrl":"10.1016/j.fhj.2024.100165","url":null,"abstract":"<p><p>The rapid advancement and widespread adoption of artificial intelligence (AI) has ushered in a new era of possibilities in healthcare, ranging from clinical task automation to disease detection. AI algorithms have the potential to analyse medical data, enhance diagnostic accuracy, personalise treatment plans and predict patient outcomes among other possibilities. With a surge in AI's popularity, its developments are outpacing policy and regulatory frameworks, leading to concerns about ethical considerations and collaborative development. Healthcare faces its own ethical challenges, including biased datasets, under-representation and inequitable access to resources, all contributing to mistrust in medical systems. To address these issues in the context of AI healthcare solutions and prevent perpetuating existing inequities, it is crucial to involve communities and stakeholders in the AI lifecycle. This article discusses four community-driven approaches for co-developing ethical AI healthcare solutions, including understanding and prioritising needs, defining a shared language, promoting mutual learning and co-creation, and democratising AI. These approaches emphasise bottom-up decision-making to reflect and centre impacted communities' needs and values. These collaborative approaches provide actionable considerations for creating equitable AI solutions in healthcare, fostering a more just and effective healthcare system that serves patient and community needs.</p>","PeriodicalId":73125,"journal":{"name":"Future healthcare journal","volume":"11 3","pages":"100165"},"PeriodicalIF":0.0,"publicationDate":"2024-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11452836/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142382628","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Artificial intelligence in the NHS: Moving from ideation to implementation. 国家医疗服务系统中的人工智能：从构想到实施。
Future healthcare journal Pub Date : 2024-09-19 eCollection Date: 2024-09-01 DOI: 10.1016/j.fhj.2024.100183
Anmol Arora, Tom Lawton
{"title":"Artificial intelligence in the NHS: Moving from ideation to implementation.","authors":"Anmol Arora, Tom Lawton","doi":"10.1016/j.fhj.2024.100183","DOIUrl":"10.1016/j.fhj.2024.100183","url":null,"abstract":"","PeriodicalId":73125,"journal":{"name":"Future healthcare journal","volume":"11 3","pages":"100183"},"PeriodicalIF":0.0,"publicationDate":"2024-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11452829/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142382625","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Fairness in AI for healthcare. 医疗保健人工智能的公平性。
Future healthcare journal Pub Date : 2024-09-19 eCollection Date: 2024-09-01 DOI: 10.1016/j.fhj.2024.100177
Siân Carey, Allan Pang, Marc de Kamps
{"title":"Fairness in AI for healthcare.","authors":"Siân Carey, Allan Pang, Marc de Kamps","doi":"10.1016/j.fhj.2024.100177","DOIUrl":"10.1016/j.fhj.2024.100177","url":null,"abstract":"<p><p>Artificial intelligence (AI) is a technology that enables computers to simulate human intelligence and has the potential to improve healthcare in a multitude of ways. However, there are also possibilities that it may continue, or exacerbate, current disparities. We discuss the problem of bias in healthcare and AI, and go on to highlight some of the ongoing and future solutions that are being researched in the area.</p>","PeriodicalId":73125,"journal":{"name":"Future healthcare journal","volume":"11 3","pages":"100177"},"PeriodicalIF":0.0,"publicationDate":"2024-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11452831/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142382630","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
How should we train clinicians for artificial intelligence in healthcare? 我们应该如何培训临床医生在医疗保健领域使用人工智能？
Future healthcare journal Pub Date : 2024-09-19 eCollection Date: 2024-09-01 DOI: 10.1016/j.fhj.2024.100162
Rohan Misra, Pearse A Keane, Henry David Jeffry Hogg
{"title":"How should we train clinicians for artificial intelligence in healthcare?","authors":"Rohan Misra, Pearse A Keane, Henry David Jeffry Hogg","doi":"10.1016/j.fhj.2024.100162","DOIUrl":"10.1016/j.fhj.2024.100162","url":null,"abstract":"","PeriodicalId":73125,"journal":{"name":"Future healthcare journal","volume":"11 3","pages":"100162"},"PeriodicalIF":0.0,"publicationDate":"2024-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11452832/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142382631","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Explaining decisions without explainability? Artificial intelligence and medicolegal accountability. 无法解释的决定？人工智能与医疗法律责任。
Future healthcare journal Pub Date : 2024-09-19 eCollection Date: 2024-09-01 DOI: 10.1016/j.fhj.2024.100171
Melissa D McCradden, Ian Stedman
{"title":"Explaining decisions without explainability? Artificial intelligence and medicolegal accountability.","authors":"Melissa D McCradden, Ian Stedman","doi":"10.1016/j.fhj.2024.100171","DOIUrl":"10.1016/j.fhj.2024.100171","url":null,"abstract":"<p><p>Image, graphical abstract.</p>","PeriodicalId":73125,"journal":{"name":"Future healthcare journal","volume":"11 3","pages":"100171"},"PeriodicalIF":0.0,"publicationDate":"2024-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11452834/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142382629","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Two paths for health AI governance: paternalism or democracy. 健康人工智能治理的两条道路：家长制还是民主制。
Future healthcare journal Pub Date : 2024-09-19 eCollection Date: 2024-09-01 DOI: 10.1016/j.fhj.2024.100180
Cori Crider
{"title":"Two paths for health AI governance: paternalism or democracy.","authors":"Cori Crider","doi":"10.1016/j.fhj.2024.100180","DOIUrl":"10.1016/j.fhj.2024.100180","url":null,"abstract":"<p><p>This article assesses the cyclical failures of NHS data modernisation programmes, and considers that they fail because they proceed from a faulty - excessively paternalistic - governance model. Bias in algorithmic delivery of healthcare, a demonstrated problem with many existing health applications, is another serious risk. To regain trust and move towards better use of data in the NHS, we should democratise the development of these systems, and de-risk operational systems from issues such as automation bias. As a comparison, the essay explores two approaches to trust and bias problems in other contexts: Taiwan's digital democracy, and American Airlines' struggles to overcome automation bias in their pilots.</p>","PeriodicalId":73125,"journal":{"name":"Future healthcare journal","volume":"11 3","pages":"100180"},"PeriodicalIF":0.0,"publicationDate":"2024-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11452825/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142382635","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Moving beyond the AI sales pitch - Empowering clinicians to ask the right questions about clinical AI. 超越人工智能推销--让临床医生能够提出有关临床人工智能的正确问题。
Future healthcare journal Pub Date : 2024-09-19 eCollection Date: 2024-09-01 DOI: 10.1016/j.fhj.2024.100179
Ibrahim Habli, Mark Sujan, Tom Lawton
{"title":"Moving beyond the AI sales pitch - Empowering clinicians to ask the right questions about clinical AI.","authors":"Ibrahim Habli, Mark Sujan, Tom Lawton","doi":"10.1016/j.fhj.2024.100179","DOIUrl":"10.1016/j.fhj.2024.100179","url":null,"abstract":"<p><p>We challenge the dominant technology-centric narrative around clinical AI. To realise the true potential of the technology, clinicians must be empowered to take a whole-system perspective and assess the suitability of AI-supported tasks for their specific complex clinical setting. Key factors include the AI's capacity to augment human capabilities, evidence of clinical safety beyond general performance metrics and equitable clinical decision-making by the human-AI team. Proactively addressing these issues could pave the way for an accountable clinical buy-in and a trustworthy deployment of the technology.</p>","PeriodicalId":73125,"journal":{"name":"Future healthcare journal","volume":"11 3","pages":"100179"},"PeriodicalIF":0.0,"publicationDate":"2024-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11452827/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142382632","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
The FHJ debate: Will artificial intelligence replace clinical decision making within our lifetimes? FHJ 辩论：人工智能会在我们有生之年取代临床决策吗？
Future healthcare journal Pub Date : 2024-09-19 eCollection Date: 2024-09-01 DOI: 10.1016/j.fhj.2024.100178
Joshua Hatherley, Anne Kinderlerer, Jens Christian Bjerring, Lauritz Aastrup Munch, Lynsey Threlfall
{"title":"The FHJ debate: Will artificial intelligence replace clinical decision making within our lifetimes?","authors":"Joshua Hatherley, Anne Kinderlerer, Jens Christian Bjerring, Lauritz Aastrup Munch, Lynsey Threlfall","doi":"10.1016/j.fhj.2024.100178","DOIUrl":"10.1016/j.fhj.2024.100178","url":null,"abstract":"","PeriodicalId":73125,"journal":{"name":"Future healthcare journal","volume":"11 3","pages":"100178"},"PeriodicalIF":0.0,"publicationDate":"2024-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11452837/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142382634","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Accidental injustice: Healthcare AI legal responsibility must be prospectively planned prior to its adoption. 意外的不公正：医疗保健人工智能法律责任必须在采用之前进行前瞻性规划。
Future healthcare journal Pub Date : 2024-09-19 eCollection Date: 2024-09-01 DOI: 10.1016/j.fhj.2024.100181
Kit Fotheringham, Helen Smith
{"title":"Accidental injustice: Healthcare AI legal responsibility must be prospectively planned prior to its adoption.","authors":"Kit Fotheringham, Helen Smith","doi":"10.1016/j.fhj.2024.100181","DOIUrl":"10.1016/j.fhj.2024.100181","url":null,"abstract":"<p><p>This article contributes to the ongoing debate about legal liability and responsibility for patient harm in scenarios where artificial intelligence (AI) is used in healthcare.We note that due to the structure of negligence liability in England and Wales, it is likely that clinicians would be held solely negligent for patient harms arising from software defects, even though AI algorithms will share the decision-making space with clinicians.Drawing on previous research, we argue that the traditional model of negligence liability for clinical malpractice cannot be relied upon to offer justice for clinicians and patients. There is a pressing need for law reform to consider the use of risk pooling, alongside detailed professional guidance for the use of AI in healthcare spaces.</p>","PeriodicalId":73125,"journal":{"name":"Future healthcare journal","volume":"11 3","pages":"100181"},"PeriodicalIF":0.0,"publicationDate":"2024-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11452828/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142383326","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
首页 上一页 下一页 尾页
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整，为了账户安全，请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们：info@booksci.cn Book学术提供免费学术资源搜索服务，方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号：481959085
Book学术官方微信