AI applications in clinical research

The transformative impact of artificial intelligence (AI) on clinical research, diagnosis, treatment, and our overall understanding of medicine continues to expand. This collection of in-depth articles, written by STAT’s team of award-winning journalists, covers a range of real-world AI applications in today’s health care.

Dive into real-world examples, such as UCSF scientists using machine learning to translate brain signals into text for a paralyzed patient and AI’s potential to enhance patient care through tools like GPT-4. It highlights major industry players like Microsoft and Nvidia driving AI integration while cautioning against overhyped expectations, referencing past failures like IBM’s Watson.

This collection also explains the financial investment in AI-driven drug discovery, questioning whether increased funding will lead to proportional advancements in treatment. It argues that without rethinking the entire pharmaceutical R&D system, inefficiencies may persist. Rural health care providers are also leveraging AI to streamline administrative tasks and improve decision-making, highlighting AI’s broad applicability, not without risks and concerns.

Through these articles, this e-book is an essential resource for understanding AI’s transformative role in clinical research. Whether you are a researcher, clinician, or industry leader, the insights offered here will deepen your understanding of how AI is redefining the future of medicine.