Latest AI and machine learning research in staffing & scheduling for healthcare professionals.
Multimodal Large Language Models (MLLMs) have been rapidly advancing, enabling cross-modal underst...
Auto-regressive (AR) models, initially successful in language generation, have recently shown prom...
Image enhancement methods often prioritize pixel level information, overlooking the semantic featu...
Clinical trials are vital for evaluation of safety and efficacy of new treatments. However, clinic...
This study critically distinguishes between AI Agents and Agentic AI, offering a structured concep...
This study highlights domain shift in dataset distributions that impact machine learning performance...
In recent years, air quality levels have become a global issue with the rise of harmful pollutants a...
Cardiac image segmentation is an important step in many cardiac image analysis and modeling tasks ...
Pacing is a key mechanism in modern transport protocols, used to regulate packet transmission timi...
Compound annotation, including the unveiling of dark matter in the metabolomics study represents a p...
: The healthcare sector is under increasing pressure due to an ageing population, rising multimorbid...
Patient recruitment remains a major bottleneck in clinical trials, calling for scalable and automa...
The accurate determination of mycotoxins in food samples is crucial to guarantee food safety and min...
Large Language Models (LLMs) present a critical trade-off between inference quality and computatio...
The human body demonstrates exceptional motor capabilities-such as standing steadily on one foot o...
Besides typical generative applications, like ChatGPT, GitHub Copilot, and Cursor, we observe an e...
: Basketball performance requires not only intermittent high-intensity movements-such as sprinting, ...
The powerful effects of electronic word of mouth on employer branding and prehire outcomes suggest a...
Explainable Artificial Intelligence (XAI) offers promising advancements in enhancing transparency an...
Perinatal depression (PND) affects 1 in 5 mothers, with 85% lacking support. Digital health tools ...
This paper proposes a method MTL-Swin-Unet which is multi-task learning using transformers for cla...