Exploring ethical challenges in using AI for healthcare decisions
Stakeholder Guidance to Anticipate and Address Ethical Challenges in Applications of Machine Learning and Artificial Intelligence in Algorithmic Medicine: a Novel Empirical Approach
This study is looking at how using technology like machine learning and artificial intelligence in healthcare can affect patients and doctors, and it wants to hear from everyone involved to make sure these tools are fair and help improve patient care.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Stanford University NIH-funded |
| Lab location | 1 site (Stanford, United States) |
| Project ID | NIH-10674548 on NIH RePORTER |
What this research studies
This research investigates the ethical implications of applying machine learning and artificial intelligence in medicine. It aims to engage various stakeholders, including patients and healthcare providers, to identify and address potential biases and ethical concerns in algorithmic decision-making. By understanding how these technologies can impact patient care, the project seeks to ensure that AI applications are fair and just. The methodology includes empirical research and stakeholder interviews to gather insights on the ethical challenges faced in algorithmic medicine.
Who could benefit from this research
Good fit: Ideal candidates for this research include patients who are affected by conditions where AI is used for diagnosis or treatment decisions.
Not a fit: Patients who are not involved in or impacted by AI-driven healthcare decisions may not receive direct benefits from this research.
Why it matters
Potential benefit: If successful, this research could lead to more equitable and effective use of AI in healthcare, improving patient outcomes.
How similar studies have performed: Other research has highlighted the importance of addressing ethical concerns in AI applications, indicating that this approach is both relevant and necessary.
Where this research is happening
Stanford, United States
- Stanford University — Stanford, United States (Active)
Researchers
- Principal investigator: Kim, Jane Paik — Stanford University
- Study coordinator: Kim, Jane Paik
About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page below.