Potential Benefits of Artificial Intelligence in Healthcare

Hoppe, Nathalie; Härting, Ralf-Christian; Rahmel, Anke

doi:10.1007/978-3-031-11170-9_9

Cited by 5 publications

(4 citation statements)

References 55 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Section: Discussionmentioning

confidence: 99%

“…However, it is also fair to assume that excessively rigid regulations may limit innovation (42,43,44), and potentially restrict society from reaping the full public health benefit, especially when genomics are involved. While the perspective of how exactly market forces skew the evolution of public health has been communicated (45), there is also loose consensus that algorithmic technology can provide immense benefits for societal well-being, bring concrete efficiencies, and provide measurable improvements to the provision of healthcare (46). Moving forward, conversations should continue to include a multitude of stakeholders-patients, clinicians, advocacy bodies, policy makers, and technologists-but it is still not clear if discussions will provide meaningful resolution to a host of ongoing concerns surrounding explainability, trustworthiness, open-data, privacy, and machine learning.…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Dicing with data: the risks, benefits, tensions and tech of health data in the iToBoS project

Aspell,

Goldsteen,

Renwick

2024

Front. Digit. Health

View full text Add to dashboard Cite

This paper will discuss the European funded iToBoS project, tasked by the European Commission to develop an AI diagnostic platform for the early detection of skin melanoma. The paper will outline the project, provide an overview of the data being processed, describe the impact assessment processes, and explain the AI privacy risk mitigation methods being deployed. Following this, the paper will offer a brief discussion of some of the more complex aspects: (1) the relatively low population clinical trial study cohort, which poses risks associated with data distinguishability and the masking ability of the applied anonymisation tools, (2) the project's ability to obtain informed consent from the study cohort given the complexity of the technologies, (3) the project's commitment to an open research data strategy and the additional privacy risk mitigations required to protect the multi-modal study data, and (4) the ability of the project to adequately explain the outputs of the algorithmic components to a broad range of stakeholders. The paper will discuss how the complexities have caused tension which are reflective of wider tensions in the health domain. A project level solution includes collaboration with a melanoma patient network, as an avenue for fair and representative qualification of risks and benefits with the patient stakeholder group. However, it is unclear how scalable this process is given the relentless pursuit of innovation within the health domain, accentuated by the continued proliferation of artificial intelligence, open data strategies, and the integration of multi-modal data sets inclusive of genomics.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Dicing with data: the risks, benefits, tensions and tech of health data in the iToBoS project

Aspell,

Goldsteen,

Renwick

2024

Front. Digit. Health

View full text Add to dashboard Cite

show abstract

“…Artificial intelligence has been a significant driving force behind the rise of robotic technologies in health care. AI and robotics are transforming health care (Figure 7) by improving diagnostics, treatment, and patient care [121,122]. These advancements are being driven by numerous companies, both established and emerging.…”

Section: Artificial Intelligence and Robotics In Drug Discovery And H...mentioning

confidence: 99%

Innovative Robotic Technologies and Artificial Intelligence in Pharmacy and Medicine: Paving the Way for the Future of Health Care—A Review

Stasevych,

Zvarych

2023

BDCC

View full text Add to dashboard Cite

The future of innovative robotic technologies and artificial intelligence (AI) in pharmacy and medicine is promising, with the potential to revolutionize various aspects of health care. These advances aim to increase efficiency, improve patient outcomes, and reduce costs while addressing pressing challenges such as personalized medicine and the need for more effective therapies. This review examines the major advances in robotics and AI in the pharmaceutical and medical fields, analyzing the advantages, obstacles, and potential implications for future health care. In addition, prominent organizations and research institutions leading the way in these technological advancements are highlighted, showcasing their pioneering efforts in creating and utilizing state-of-the-art robotic solutions in pharmacy and medicine. By thoroughly analyzing the current state of robotic technologies in health care and exploring the possibilities for further progress, this work aims to provide readers with a comprehensive understanding of the transformative power of robotics and AI in the evolution of the healthcare sector. Striking a balance between embracing technology and preserving the human touch, investing in R&D, and establishing regulatory frameworks within ethical guidelines will shape a future for robotics and AI systems. The future of pharmacy and medicine is in the seamless integration of robotics and AI systems to benefit patients and healthcare providers.

show abstract

“…Therefore, in a highly uncertain and dynamic environment, AI technology provides many benefits (Hoppe et al, 2023;Ahsana and Siddique, 2022;Leimanis and Palkova, 2021). AI helps to provide primary and advanced treatment and medicines to the victims (Chee et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Application of artificial intelligence for resilient and sustainable healthcare system: systematic literature review and future research directions

Vishwakarma

Mishra

Kumari

2023

International Journal of Production Research

View full text Add to dashboard Cite

show abstract

Potential Benefits of Artificial Intelligence in Healthcare

Cited by 5 publications

References 55 publications

Dicing with data: the risks, benefits, tensions and tech of health data in the iToBoS project

Dicing with data: the risks, benefits, tensions and tech of health data in the iToBoS project

Innovative Robotic Technologies and Artificial Intelligence in Pharmacy and Medicine: Paving the Way for the Future of Health Care—A Review

Application of artificial intelligence for resilient and sustainable healthcare system: systematic literature review and future research directions

Contact Info

Product

Resources

About