Artificial Intelligence Medical Compendium

OBJECTIVE: This study aimed to evaluate machine learning models for predicting the recurrence and malignant transformation of oral leukoplakia (OL). METHODS: A total of 123 OL patients with biopsy-confirmed diagnoses were retrospectively enrolled, an... read more 

Deep learning underpins most of the currently advanced natural language processing (NLP) tasks such as textual classification, neural machine translation (NMT), abstractive summarization and question-answering (QA). However, the robustness of the mod... read more 

We introduce the Anisotropic Self-Organizing Map (ASOM), a novel neural network-based approach for inferring hidden common drivers in nonlinear dynamical systems from observed time series. Grounded in topological theorems, our method integrates time-... read more 

Endolichenic fungi (ELF) are symbiotic organisms residing in lichens. Since the initial report of its application in natural products and drug discovery, they have emerged as unique valuable sources of compounds with a wide range of structural divers... read more 

WHAT WAS THE EDUCATIONAL CHALLENGE?: Experience with simulated clinical cases is a relevant component in the development of clinical reasoning (CR). Generating and vetting cases that are locally relevant is, however, a complex and time-consuming proc... read more 

ETHNOPHARMACOLOGICAL RELEVANCE: Fritillaria thunbergii Miq. (Zhebeimu, ZBM) is traditionally recognized in Chinese medicine for its effects of clearing heat, resolving phlegm, suppressing cough, detoxifying, dissipating nodules, and resolving abscess... read more 

Retinal vascular morphology plays a crucial role in diagnosing diseases such as diabetes, glaucoma, and hypertension, making accurate segmentation of retinal vessels essential for early intervention. Traditional segmentation methods assume that train... read more 

Data distribution discrepancy across datasets is one of the major obstacles hindering the improvement of the accuracy of cross-domain adaptive detection of medical images. To address this challenge, we propose a novel lightweight cross-modal adaptive... read more 

MicroRNAs (miRNAs) play a central role in gene regulation and have emerged as critical tools in disease diagnosis, therapy, and precision medicine. However, the field faces major challenges, including insufficient sensitivity and specificity in low-a... read more 

Echinococcosis is a zoonotic parasitic disease characterized by its insidious nature and severe health impacts. Rapid and accurate screening is crucial for subsequent treatment. Previous studies have demonstrated that Raman spectroscopy combined with... read more