Ethical implications of AI and robotics in healthcare: A review

Medicine, Journal Year: 2023, Volume and Issue: 102(50), P. e36671 - e36671

Published: Dec. 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.

Language: Английский

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Using artificial intelligence to improve public health: a narrative review

Frontiers in Public Health, Journal Year: 2023, Volume and Issue: 11

Published: Oct. 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.

Language: Английский

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Advancements in Robotic Surgery: A Comprehensive Overview of Current Utilizations and Upcoming Frontiers

Cureus, Journal Year: 2023, Volume and Issue: unknown

Published: Dec. 12, 2023

Robotic surgery, a groundbreaking advancement in medical technology, has redefined the landscape of surgical procedures. This comprehensive overview explores multifaceted world robotic encompassing its definition, historical development, current applications, clinical outcomes, benefits, emerging frontiers, challenges, and future implications. We delve into fundamentals systems, examining their components advantages. From general gynecological surgery to urology, cardiac orthopedics, beyond, we highlight diverse specialties where is making significant impact. The many benefits discussed include improved patient reduced complications, faster recovery times, cost-effectiveness, enhanced surgeon experiences. outlook reveals healthcare increasingly vital, enabling personalized medicine, bridging disparities, advancing precision. However, challenges such as cost, training, technical issues, ethical considerations, acceptance remain relevant. In conclusion, poised continue shaping health care, offering transformative possibilities while emphasizing importance collaboration, innovation, governance.

Language: Английский

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Enhancing mental health with Artificial Intelligence: Current trends and future prospects

Journal of Medicine Surgery and Public Health, Journal Year: 2024, Volume and Issue: 3, P. 100099 - 100099

Published: April 17, 2024

Artificial Intelligence (AI) has emerged as a transformative force in various fields, and its application mental healthcare is no exception. Hence, this review explores the integration of AI into healthcare, elucidating current trends, ethical considerations, future directions dynamic field. This encompassed recent studies, examples applications, considerations shaping Additionally, regulatory frameworks trends research development were analyzed. We comprehensively searched four databases (PubMed, IEEE Xplore, PsycINFO, Google Scholar). The inclusion criteria papers published peer-reviewed journals, conference proceedings, or reputable online databases, that specifically focus on field offer comprehensive overview, analysis, existing literature English language. Current reveal AI's potential, with applications such early detection health disorders, personalized treatment plans, AI-driven virtual therapists. However, these advancements are accompanied by challenges concerning privacy, bias mitigation, preservation human element therapy. Future emphasize need for clear frameworks, transparent validation models, continuous efforts. Integrating therapy represents promising frontier healthcare. While holds potential to revolutionize responsible implementation essential. By addressing thoughtfully, we may effectively utilize enhance accessibility, efficacy, ethicality thereby helping both individuals communities.

Language: Английский

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AI in diagnostic imaging: Revolutionising accuracy and efficiency

Computer Methods and Programs in Biomedicine Update, Journal Year: 2024, Volume and Issue: 5, P. 100146 - 100146

Published: Jan. 1, 2024

This review evaluates the role of Artificial Intelligence (AI) in transforming diagnostic imaging healthcare. AI has potential to enhance accuracy and efficiency interpreting medical images like X-rays, MRIs, CT scans. A comprehensive literature search across databases PubMed, Embase, Google Scholar was conducted, focusing on articles published peer-reviewed journals English language since 2019. Inclusion criteria targeted studies AI's application imaging, while exclusion filtered out irrelevant or empirically unsupported studies. Through 30 included studies, identifies four domains eight functions imaging: 1) In area Image Analysis Interpretation, capabilities enhanced image analysis, spotting minor discrepancies anomalies, by reducing human error, maintaining mitigating impact fatigue oversight, 2) The Operational Efficiency is through speed, which accelerates process, cost-effectiveness, healthcare costs improving accuracy, 3) Predictive Personalised Healthcare benefit from predictive analytics, leveraging historical data for early diagnosis, personalised medicine, employs patient-specific tailored approaches, 4) Lastly, Clinical Decision Support, assists complex procedures providing precise support integrates with other technologies electronic health records enriched insights, showcasing ai's transformative imaging. also discusses challenges integration, such as ethical concerns, privacy, need technology investments training. revolutionising efficiency, delivery. Recommendations include continued investment AI, establishment guidelines, training professionals, ensuring patient-centred development. calls collaborative efforts integrate clinical practice effectively address disparities.

Language: Английский

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A Call to Action on Assessing and Mitigating Bias in Artificial Intelligence Applications for Mental Health

Perspectives on Psychological Science, Journal Year: 2022, Volume and Issue: 18(5), P. 1062 - 1096

Published: Dec. 9, 2022

Advances in computer science and data-analytic methods are driving a new era mental health research application. Artificial intelligence (AI) technologies hold the potential to enhance assessment, diagnosis, treatment of people experiencing problems increase reach impact care. However, AI applications will not mitigate disparities if they built from historical data that reflect underlying social biases inequities. models biased against sensitive classes could reinforce even perpetuate existing inequities these create legacies differentially who is diagnosed treated, how effectively. The current article reviews health-equity implications applying problems, outlines state-of-the-art for assessing mitigating algorithmic bias, presents call action guide development

Language: Английский

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Digital twin for healthcare systems

Frontiers in Digital Health, Journal Year: 2023, Volume and Issue: 5

Published: Sept. 7, 2023

Digital twin technology is revolutionizing healthcare systems by leveraging real-time data integration, advanced analytics, and virtual simulations to enhance patient care, enable predictive optimize clinical operations, facilitate training simulation. With the ability gather analyze a wealth of from various sources, digital twins can offer personalized treatment plans based on individual characteristics, medical history, physiological data. Predictive analytics preventive interventions are made possible machine learning algorithms, allowing for early detection health risks proactive interventions. operations analyzing workflows resource allocation, leading streamlined processes improved care. Moreover, provide safe realistic environment professionals their skills practice complex procedures. The implementation in has potential significantly improve outcomes, safety, drive innovation industry.

Language: Английский

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Artificial intelligence and machine learning in precision medicine: A paradigm shift in big data analysis

Progress in molecular biology and translational science, Journal Year: 2022, Volume and Issue: unknown, P. 57 - 100

Published: Jan. 1, 2022

Language: Английский

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Smart Health

Journal of Organizational and End User Computing, Journal Year: 2022, Volume and Issue: 34(1), P. 1 - 14

Published: Aug. 11, 2022

In recent decades, healthcare organizations around the world have increasingly appreciated value of information technologies for a variety applications. Three new technological advancements that are impacting smart health metaverse, artificial intelligence (AI), and data science. The metaverse is intersection three major — AI, augmented reality (AR), virtual (VR). Metaverse provides possibilities potential still emerging. increased work efficiency enabled by science in hospitals not only improves patient care but also cuts costs workload providers. Artificial intelligence, coupled with machine learning, transforming industry. availability big enables scientists to use descriptive, predictive, prescriptive analytics. This article reviews multiple case studies literature on AI applications hospital administration. presents unresolved research questions challenges context. For researchers, addition providing good synopsis development area, this identifies possible future directions discusses health. practitioners, both decision-makers workers practical guidelines management model.

Language: Английский

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Harnessing the Power of AI: A Comprehensive Review of Its Impact and Challenges in Nursing Science and Healthcare

Cureus, Journal Year: 2023, Volume and Issue: unknown

Published: Nov. 22, 2023

This comprehensive review delves into the impact and challenges of Artificial Intelligence (AI) in nursing science healthcare. AI has already demonstrated its transformative potential these fields, with applications spanning from personalized care diagnostic accuracy to predictive analytics telemedicine. However, integration complexities, including concerns related data privacy, ethical considerations, biases algorithms datasets. The future healthcare appears promising, poised advance diagnostics, treatment, practices. Nevertheless, it is crucial remember that should complement, not replace, professionals, preserving essential human element care. To maximize AI's healthcare, interdisciplinary collaboration, guidelines, protection patient rights are essential. concludes a call action, emphasizing need for ongoing research collective efforts ensure contributes improved outcomes while upholding highest standards ethics patient-centered

Language: Английский

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