Evaluating and mitigating discrimination in language model decisions

A Tamkin, A Askell, L Lovitt, E Durmus… - arXiv preprint arXiv …, 2023 - arxiv.org
As language models (LMs) advance, interest is growing in applying them to high-stakes
societal decisions, such as determining financing or housing eligibility. However, their …

Safety challenges of AI in medicine

X Wang, NX Zhang, H He, T Nguyen, KH Yu… - arXiv preprint arXiv …, 2024 - arxiv.org
Recent advancements in artificial intelligence (AI), particularly in deep learning and large
language models (LLMs), have accelerated their integration into medicine. However, these …

Transformer-based Multi-label Deep Learning Model is Efficient for Detecting Ankle Lateral and Medial Ligament Injuries on MRI and Improving Clinicians' Diagnostic …

R Yin, H Chen, C Wang, C Qin, T Tao, Y Hao… - … : The Journal of …, 2024 - Elsevier
Purpose To develop a deep learning (DL) model that can simultaneously detect lateral and
medial collateral ligament injuries of the ankle, aiding in the diagnosis of chronic ankle …