In the ever-evolving landscape of clinical research, the integration of artificial intelligence (AI) is reshaping how we approach patient recruitment, especially in the realm of respiratory medicine. Traditionally, recruiting participants for clinical trials has been a labor-intensive process, often hindered by challenges such as identifying eligible candidates, ensuring diversity, and...

In the ever-evolving landscape of clinical research, the integration of artificial intelligence (AI) is reshaping how we approach patient recruitment, especially in the realm of respiratory medicine. Traditionally, recruiting participants for clinical trials has been a labor-intensive process, often hindered by challenges such as identifying eligible candidates, ensuring diversity, and...