PURPOSE OF REVIEW: Explore the clinical progression, diagnostic challenges, and evolving treatments of systemic right ventricular (SRV) failure, highlighting key gaps and advances.
This study evaluates and compares the diagnostic and prognostic capabilities of ChatGPT-4o and DeepSeek-R1 in 56 HIV-negative talaromycosis cases. Clinical case fragments were de-identified and submitted to both models, with diagnostic accuracy and p...
INTRODUCTION: Vestibular schwannoma is the most common neoplasm located at the skull base. The therapeutic strategy for managing vestibular schwannoma is formulated based on individual patient characteristics and specific imaging findings. Recently, ...
Analytical methods : advancing methods and applications
Oct 9, 2025
This review evaluates the current state of wearable chemical sensors for occupational health applications, emphasizing both their promise and their limitations. We systematically compare electrochemical, optical, photoionization, and chemiresistive p...
Analytical methods : advancing methods and applications
Oct 9, 2025
Non-invasive monitoring of lactate levels offers a promising avenue for optimizing athletic performance assessment, yet remains constrained by the limitations of traditional blood-based sampling methods. This review critically examines electrochemica...
Steady-state visually evoked potential-based Brain-computer interface (BCI) spellers assist individuals experiencing speech difficulties by enabling them to communicate at a fast rate. However, achieving a high information transfer rate (ITR) in most...
. Integrated positron emission tomography (PET)/computed tomography (CT) imaging plays a vital role in tumor diagnosis by offering both anatomical and functional information. However, the high cost, limited accessibility of PET imaging and concerns a...
Pancreatic cancer is one of the most lethal malignancies, largely due to the formidable pathophysiological barriers presented by its tumor microenvironment (TME). These include metabolic stress, such as acidosis and elevated reactive oxygen species; ...
Electroencephalography (EEG) has evolved into an indispensable instrument for estimating cognitive workload in various domains. Machine Learning (ML) and deep learning (DL) techniques have been increasingly employed to develop accurate workload estim...
We propose TIC-FusionNet, a trend-aware multimodal deep learning framework for time series forecasting with integrated visual signal analysis, aimed at addressing the limitations of unimodal and short-range dependency models in noisy financial enviro...
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