Medical artificial intelligence (AI) is being rapidly deployed in clinical practice, yet its real-world effectiveness across diverse patient populations remains poorly characterized. We conducted a systematic review combining automated screening (fin... read more
Noma is a rapidly progressive orofacial gangrene that predominantly affects children living in extreme poverty. Despite its documentation since antiquity and its designation as a World Health Organisation Neglected Tropical Disease in 2023, the micro... read more
IEEE transactions on neural networks and learning systems
Mar 20, 2026
Few-shot learning (FSL) enables deep learning models to generalize to unseen categories with minimal labeled data, making it crucial for data-constrained domains such as healthcare. However, existing FSL models often lack explainability, obscuring th... read more
IEEE journal of biomedical and health informatics
Mar 20, 2026
Federated learning (FL) enhances data privacy and compliance with data regulations by enabling multiple decentralized parties to collaboratively train machine learning models without sharing their data. This makes it an ideal paradigm for the healthc... read more
To improve the detection performance of epileptic electroencephalogram (EEG) signals and address their non-stationary characteristics,this paper compares the combined effects of continuous wavelet transform (CWT) and short-time Fourier transform (STF... read more
Neuroscience has long emphasized synaptic transmission and physical wiring as the substrate of brain function and behavior. However, an additional layer of connectivity - a "chemical connectome" formed by neuropeptide-GPCR signaling - has been increa... read more
Federated Learning (FL) has emerged as a critical paradigm for enabling financial institutions to collaboratively train models while preserving data privacy. However, a fundamental challenge arises when applying Differential Privacy (DP) to financial... read more
OBJECTIVES: To evaluate the feasibility of a large language model (LLM)-based chatbot for answering parental questions in the PICU and inform design of a randomized controlled trial (RCT). DESIGN: Prospective single-arm feasibility study conducted fr... read more
During tumorigenesis, the extracellular matrix is extensively remodeled. Whereas the impact of such remodeling on tumor growth and invasion is well described, the consequences on immune infiltration are not well understood. Combining tissue imaging a... read more
The escalating energy consumption of existing artificial intelligence hardware has become a serious global issue that demands immediate action. Neuromorphic computing offers promises to drastically reduce this footprint. Here, we introduce multicompo... read more
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