AI med

 Here are 3 key points distilled from the passage:

1. AI is approaching (and sometimes exceeding) physician-level diagnostic reasoning in controlled settings.
Studies like the one by Brodeur et al. show that newer reasoning models (e.g., o1-preview) outperform earlier LLMs and can even surpass physicians on text-based clinical cases and some real emergency scenarios. This marks a major shift from simple knowledge recall to structured clinical reasoning.

2. Real-world clinical use is more complex than test performance.
Even though LLMs can pass medical exams and perform well on vignettes, real medicine involves uncertainty, context, and multimodal inputs (visual, auditory, physical exams). Current research highlights the need for testing AI in realistic, multimodal, and prospective clinical environments before widespread adoption.

3. The future of AI in healthcare is likely collaborative, not replacement.
The most promising model is AI working alongside clinicians rather than replacing them. However, the optimal setup (AI alone vs. clinician alone vs. clinician + AI) still needs rigorous evaluation to determine when AI actually improves patient care and when it may not.

If you want, I can  simplify this further or  turn it into exam-ready bullet answers.