
Shared by @HarvardHealth ↗
Shared by @drjkahn ↗Early detection of oral cancer markedly improves clinical outcomes, yet specialized diagnostic tools remain scarce in low-resource settings. Smartphone-based screening is a scalable alternative but needs lightweight models that run within edge-hardware co

In gastroenterology, LLMs can draft notes, summarize data, and assist with patient messaging but can also err, introduce bias, or compromise privacy.
More than 80% of respondents say they use AI in their practices, but what that means isn’t always clear.


Building trustworthy medical multimodal large language models (MLLMs) is critical for reliable clinical decision support. Existing medical hallucination benchmarks mainly focus on data collection, but often ignore where hallucinations originate within the









