[HTML][HTML] The shaky foundations of large language models and foundation models for electronic health records
The success of foundation models such as ChatGPT and AlphaFold has spurred significant
interest in building similar models for electronic medical records (EMRs) to improve patient …
interest in building similar models for electronic medical records (EMRs) to improve patient …
[HTML][HTML] Artificial intelligence applications in health care practice: scoping review
Background Artificial intelligence (AI) is often heralded as a potential disruptor that will
transform the practice of medicine. The amount of data collected and available in health …
transform the practice of medicine. The amount of data collected and available in health …
A Systematic Literature Review of Advancements, Challenges and Future Directions of AI And ML in Healthcare
The most remarkable advancements in artificial intelligence (AI) plus machine learning (ML)
technologies with integration addicted to healthcare systems face several challenges in …
technologies with integration addicted to healthcare systems face several challenges in …
Artificial Intelligence for Cardiovascular Care—Part 1: Advances: JACC Review Topic of the Week
P Elias, SS Jain, T Poterucha, M Randazzo… - Journal of the American …, 2024 - jacc.org
Recent artificial intelligence (AI) advancements in cardiovascular care offer potential
enhancements in diagnosis, treatment, and outcomes. Innovations to date focus on …
enhancements in diagnosis, treatment, and outcomes. Innovations to date focus on …
The shaky foundations of clinical foundation models: A survey of large language models and foundation models for emrs
The successes of foundation models such as ChatGPT and AlphaFold have spurred
significant interest in building similar models for electronic medical records (EMRs) to …
significant interest in building similar models for electronic medical records (EMRs) to …
Clinical use of artificial intelligence requires AI-capable organizations
Artificial intelligence-based algorithms are being widely implemented in health care, even as
evidence is emerging of bias in their design, problems with implementation, and potential …
evidence is emerging of bias in their design, problems with implementation, and potential …
[HTML][HTML] Artificial intelligence–enabled tools in cardiovascular medicine: A survey of current use, perceptions, and challenges
A Schepart, A Burton, L Durkin, A Fuller… - … Digital Health Journal, 2023 - Elsevier
Background Numerous artificial intelligence (AI)-enabled tools for cardiovascular diseases
have been published, with a high impact on public health. However, few have been adopted …
have been published, with a high impact on public health. However, few have been adopted …
[HTML][HTML] Considerations in the reliability and fairness audits of predictive models for advance care planning
Multiple reporting guidelines for artificial intelligence (AI) models in healthcare recommend
that models be audited for reliability and fairness. However, there is a gap of operational …
that models be audited for reliability and fairness. However, there is a gap of operational …
[HTML][HTML] Exploring the role of artificial intelligence in mental healthcare: progress, pitfalls, and promises
G Espejo, W Reiner, M Wenzinger - Cureus, 2023 - ncbi.nlm.nih.gov
The rise of artificial intelligence (AI) heralds a significant revolution in healthcare, particularly
in mental health. AI's potential spans diagnostic algorithms, data analysis from diverse …
in mental health. AI's potential spans diagnostic algorithms, data analysis from diverse …
Distributed governance of medical AI
W Price, II Nicholson - SMU Sci. & Tech. L. Rev., 2022 - HeinOnline
Artificial intelligence (AI) has the potential to democratize expertise in medicine, bring
expertise previously limited to specialists to a variety of health-care settings. But Al can …
expertise previously limited to specialists to a variety of health-care settings. But Al can …