Latest AI and machine learning research in product alert for healthcare professionals.
Post-hoc calibration of pre-trained models is critical for ensuring reliable inference, especially...
Lower-Limb Fractures (LLF) are a major health concern for older adults, often leading to reduced m...
Ensuring the correctness of code generated by Large Language Models (LLMs) presents a significant ...
Ensuring safety alignment has become a critical requirement for large language models (LLMs), part...
Safety is the main concern in the aviation industry, where even minor operational issues can lead ...
The low-altitude economy (LAE) plays an indispensable role in cargo transportation, healthcare, in...
As complex AI systems further prove to be an integral part of our lives, a persistent and critical...
Domain-adaptive post-training of large language models (LLMs) has emerged as a promising approach ...
Explainable AI (XAI) in medical histopathology is essential for enhancing the interpretability and...
Background: Healthcare has many manual processes that can benefit from automation and augmentation...
This paper explores foundational and applied aspects of survival analysis, using fall risk assessm...
Transcranial Magnetic Stimulation (TMS) with simultaneous Electroencephalogram (TMS-EEG) allows asse...
Seasonal influenza remains a significant public health challenge through unpredictable antigenic dri...
Post-mortem diffusion MRI plays a key role in investigative pipelines to characterise tissue microst...
Post-marketing surveillance is crucial for drug safety, yet the tools of pharmacovigilance rely sole...
A target-specific bait dispenser is required for oral bait vaccination of the endangered Tasmanian d...
Postharvest losses in high-value horticultural crops such as cacao and coffee are often driven by Co...
Large language models (LLMs) integrate knowledge from diverse sources into a single set of internal ...
Emerging evidence indicates an elevated risk of post-concussion musculoskeletal (MSK) injuries in co...
Adverse drug events (ADEs) are a critical aspect of patient safety and pharmacovigilance, with signi...
Artificial intelligence (AI) foundation models such as Segment Anything Model 2 (SAM 2) offer potent...