AI in clinical trials raises legal and ethical challenges

These systems raise concerns about consent, data sourcing, and ethical standard compliance.

Artificial intelligence (AI) integration in clinical trials presents significant legal and ethical challenges amidst improved outcomes.

A GlobalData report said that these systems rely on large datasets from clinical trials, raising concerns about consent, data sourcing, and compliance with ethical standards.

Moreover, whilst consent forms outline data usage during trials, uncertainties persist about its reuse for AI applications afterwards.

Meanwhile, ethical issues further complicate such concerns, as the misuse of sensitive health data can diminish public trust in healthcare providers and AI technologies.

Measures such as defining data ownership, improving communication, and public education were identified as solutions to these challenges.

“These measures, coupled with risk-based regulations, pave the way for a secure, ethical, and progressive AI-driven healthcare landscape,” said Elia Garcia, Medical Analyst at GlobalData.