Publisher: Therapeutic Innovation & Regulatory Science (Springer Nature Link)
Authors: Z. Xu, B. Biswas, L. Li, B. Amzal
Background
Artificial Intelligence (AI) and Machine Learning (ML) are making headlines in medical research, especially in drug discovery, digital imaging, disease diagnostics, genetic testing, and optimal care pathway (personalized care).
Patients and methods
However, the potential uses and benefits of AI/ML applications need to be distinguished from hype. In the 2022 American Statistical Association Biopharmaceutical Section Regulatory-Industry Statistical Workshop, we convened a panel of experts from FDA and industry to talk about the challenges of successfully applying AI/ML in precision medicine and how to overcome those challenges.
Results & Conclusion
This paper provides a summary and expansion on the topics discussed in the panel: the application of AI/ML, bias, and data quality.
