Journal of Medical Internet Research

Hospitalists Are Already Using AI—Why Implementation Will Determine Its Impact

Drawing on lessons from electronic health record implementation, we argue that AI’s ultimate impact will be determined not by use rates, but by implementation quality and fit. Poorly implemented ...
Journal of Medical Internet Research

Integrating a Large Language Model to Streamline Nursing Handover Documentation Across Multiple Hospitals in Taiwan: Development and Implementation Study

We then extracted and analyzed NIS log data to compare documentation times before and after LLM implementation, thereby quantifying time savings. Results: Integration of the LLM into nursing handover ...
GitHub

TALON: Test-time Adaptive Learning for On-the-Fly Category Discovery

TALON/ ├── config.py <- Dataset root paths & DINO pretrain path ├── train.py <- Training entry point ├── test.py <- Evaluation entry point ├── pyproject.toml <- Project metadata & dependencies (uv) │ ...
IEEE

Toward Dataset Copyright Evasion Attack Against Personalized Text-to-Image Diffusion Models

Abstract: Text-to-image (T2I) diffusion models enable high-quality image generation conditioned on textual prompts. However, fine-tuning these pre-trained models for personalization raises concerns ...
IEEE

Prediction of the Stock Market Using a Hybrid Model Based on Feature Expansion and LSTM-Based Algorithms

Abstract: The complexity associated with predicting stock market trends has garnered significant attention from researchers and financial analysts. The widespread use of the stock market as an ...
GitHub

Efficient Test-Time Scaling for Small Vision-Language Models

Our framework consists of two main pipelines: (1) Test-Time Augmentation: Given an input image and text prompt, we apply various transformations to create multiple augmented versions. VLM processes ...