Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 37,621 to 37,630 of 223,469 articles

Deep learning model for predicting mRNA half-life based on 3'UTR sequences.

Biochemical and biophysical research communications
mRNA stability, quantified by half-life, is central to gene expression homeostasis and post-transcriptional regulation. Predicting mRNA half-life from 3' untranslated region (3'UTR) sequences alone, however, remains challenging, particularly when bot... read more 

Discovery of WRN helicase inhibitors by 3D-CNN docking and ML consensus from traditional Chinese medicine monomers.

Journal of molecular graphics & modelling
The Werner syndrome (WRN) helicase is a validated synthetic-lethal vulnerability in cancers with microsatellite instability (MSI), making WRN inhibition a potential target for cancer treatment. Therefore, a computer-aided drug discovery (CADD) pipeli... read more 

Review of agentic artificial intelligence (AI) in radiology: from current clinical integration to future innovations.

Clinical radiology
AIM: Artificial intelligence (AI) is one of the most revolutionary developments in the field of medicine in recent history, with radiology being one of the strongest beneficiaries. AI models predominantly relied on user input to generate 'human-like'... read more 

Synchronization of state-dependent switched neural networks via non-exponential lyapunov functions with stochastic delayed impulses.

ISA transactions
This paper studies the synchronization of switched neural networks (SNNs) under stochastic delayed impulses (SDI), utilizing the state-dependent switching (SDS) mechanism based on the information from node dynamics. Unlike prior works, we construct a... read more 

Smartphone-based digital phenotyping for detection of high-risk depression and anxiety in Korean community settings.

Internet interventions
BACKGROUND: Smartphones generate continuous behavioral signals such as mobility and activity patterns, offering scalable opportunities for monitoring mental health in community settings. Digital phenotyping approaches that integrate passive sensing w... read more 

Enhancing psychological resilience in cyberbullying victims through AI-guided cognitive reappraisal.

Internet interventions
Cyberbullying poses a serious threat to mental health, while traditional psychological interventions are often constrained by limited accessibility and resources. Grounded in the integrative model of psychological resilience, this study examined the ... read more 

High-accuracy instance segmentation of cellular structures in head and neck squamous cell carcinoma histopathology using a cyto R-CNN deep learning framework.

Pathology, research and practice
This study develops a deep learning-based model to automate the instance segmentation of nuclei and whole cells in hematoxylin and eosin-stained head and neck squamous cell carcinoma (HNSCC) images, aiming to enhance the efficiency and objectivity of... read more 

Complex-valued proximal neural network method for solving complex-valued mixed variational inequalities.

Neural networks : the official journal of the International Neural Network Society
This paper proposes a complex-valued proximal neural network (CPNN) method for solving complex-valued mixed variational inequalities (CMVIs) directly in the complex-domain. Under standard convexity assumptions, we establish the nonexpansiveness of th... read more 

Beyond pairwise dependence: A multi-filter fusion network for graph representation learning.

Neural networks : the official journal of the International Neural Network Society
Polynomial graph filters have been widely used as guiding principles in the design of spectral Graph Neural Networks (GNNs). However, their reliance on pairwise network structures inherently constrains their capabilities. (1) Spectral GNNs tend to su... read more