2 ms·
There are lots of papers about using some kind of LLM to cut costs and staffing in hospitals. Big companies believe there is a lot of money to be made here, des
by cmiles74 3y ago
There are lots of papers about using some kind of LLM to cut costs and staffing in hospitals. Big companies believe there is a lot of money to be made here, despite the obvious dangers.
A quick Google search found this paper, here's a quote:
"Our evaluation shows that GPT-4V excels in understanding medical images and is able to generate high-quality radiology reports and effectively answer questions about medical images. Meanwhile, it is found that its performance for medical visual grounding needs to be substantially improved. In addition, we observe the discrepancy between the evaluation outcome from quantitative analysis and that from human evaluation. This discrepancy suggests the limitations of conventional metrics in assessing the performance of large language models like GPT-4V and the necessity of developing new metrics for automatic quantitative analysis."
https://arxiv.org/html/2310.20381v5 https://arxiv.org/html/2310.20381v5
For sure there's some waffling at the end, but many people will come away with the feeling that this is something GPT-4V can do.
- CryptoNoNo 3y agoThere is actually a lot of work involved in tracking everything for an operation. If an ai is able to record an operation with 9x% accuracy but you save humans, the insurance might just accept this. Nonetheless the chance that ai will be able to continually become better and better at it, is very high. Our society will switch. Instead of rewriting software or updating software we will fine-tune models and add more examples. Because this is actually sustainable (you can reuse the old data) this will win at the end. The only thing changing in the future is model architecture and training data will only be added.