The integration of specialized autonomous large language models, known as “deep research agents,” is igniting intense discussion across medical AI sectors (Wong, 2026).
Designed to independently navigate, retrieve, and synthesize vast clinical data, these tools can compile comprehensive literature reviews in mere minutes (Wong, 2026).
However, recent performance evaluations reveal a glaring double-edged sword: while some elite models achieve citation accuracies over 90%, others frequently hallucinate fabricated medical sources (Wong, 2026). Experts stress that strict human oversight remains vital to prevent clinical misinformation.
