Artificial Intelligence Medical Compendium

BACKGROUND AND OBJECTIVE: Accurate intraoperative differentiation between focal nodular hyperplasia (FNH) and hepatocellular carcinoma (HCC) remains a major clinical challenge, especially in atypical cases where conventional imaging and histopatholog... read more 

Flocculation-dissolved air flotation (DAF) is an efficient and widely adopted technique for cyanobacteria separation. However, optimizing its removal efficiency remains challenging due to complex interdependencies among water quality, cyanobacterial ... read more 

This paper proposes an interval estimation scheme for a class of stochastic delayed reaction-diffusion neural networks using a novel two-step estimation method. Different from traditional point estimation methods, the proposed two-step estimation met... read more 

DNS over HTTPS(DoH) improves privacy but still admits tunneling, resolver manipulation, and side-channel leakage. We present PAFA-DoH, a practical defense that unifies Federated AI, Quantum-resilient cryptography, and neuromorphic anomaly detection i... read more 

Many practical problems in the social sciences require the prediction of policy outcomes to support decision-making. However, existing research still lacks suitable methods for forecasting unknown policy outcomes, and theoretical guarantees of the pr... read more 

This paper proposes a discrete two-memristor-based Hopfield neural network (DTM-HNN) by integrating two memristors with internal piecewise-linear state functions into a two-neuron Hopfield neural network regarded as a seed map. The DTM-HNN is capable... read more 

BACKGROUND: Periodontitis, a prevalent chronic inflammatory disease, remains a global health challenge with conventional diagnostic methods hindered by subjectivity and low sensitivity. This study aimed to develop a machine learning (ML)-based diagno... read more 

BACKGROUND: Large language models (LLMs) are capable of processing extensive textual data and synthesizing evidence to answer complex clinical questions. The labor-intensive nature of systematic reviews with meta-analyses (SRMAs) present a unique opp... read more 

Genome-wide assessment of genetic variation is becoming routine in genetics, yet functional interpretation of non-coding single nucleotide variants in both common and rare diseases remains a major challenge. Here, we used chromatin immunoprecipitatio... read more 

Complex RNA-protein networks play a pivotal role in the formation of many types of biomolecular condensates. How RNA features contribute to condensate formation, however, remains incompletely understood. Here, we integrate tailored transcriptomics as... read more