Updating the Minimum Information about CLinical Artificial Intelligence (MI-CLAIM) checklist for generative modeling research
Recent advances in generative models, including large language models (LLMs), vision
language models (VLMs), and diffusion models, have accelerated the field of natural …
language models (VLMs), and diffusion models, have accelerated the field of natural …
Towards Clinical AI Fairness: Filling Gaps in the Puzzle
The ethical integration of Artificial Intelligence (AI) in healthcare necessitates addressing
fairness-a concept that is highly context-specific across medical fields. Extensive studies …
fairness-a concept that is highly context-specific across medical fields. Extensive studies …
Universal Debiased Editing for Fair Medical Image Classification
In the era of Foundation Models'(FMs) rising prominence in AI, our study addresses the
challenge of biases in medical images while using FM API, particularly spurious correlations …
challenge of biases in medical images while using FM API, particularly spurious correlations …
A pangenome analysis of ESKAPE bacteriophages: the underrepresentation may impact machine learning models
J Lee, B Hunter, H Shim - bioRxiv, 2024 - biorxiv.org
Bacteriophages are the most prevalent biological entities in the biosphere. However,
limitations in both medical relevance and sequencing technologies have led to a systematic …
limitations in both medical relevance and sequencing technologies have led to a systematic …
Enhancing Channel Decoding Efficiency in 5G Networks Using Machine Learning-Assisted LDPC Coding
B Mosallaei - International Journal of Engineering and Applied …, 2024 - papers.ssrn.com
In the rapidly evolving landscape of telecommunications, the advent of 5G technology
promises unprecedented speed, capacity, and connectivity. However, the efficient utilization …
promises unprecedented speed, capacity, and connectivity. However, the efficient utilization …