Artificial Intelligence Medical Compendium

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

Showing 59,171 to 59,180 of 227,876 articles

Hires-diagnoser: a dual stream medical image diagnosis framework based on multi-level resolution adaptive sensing.

Biomedical physics & engineering express
Improving medical image diagnosis performance relies on effectively representing features across various scales and accurately capturing local lesion characteristics and spatial context. While traditional convolutional neural networks are limited by ... read more 

Artificial intelligence in idiopathic pulmonary fibrosis: advances, challenges and future directions.

The European respiratory journal
Idiopathic pulmonary fibrosis (IPF) is a progressive disease of unknown aetiology, characterised by a radiological and/or morphological pattern of usual interstitial pneumonia. Its diagnosis is challenging, and disease progression is often variable a... read more 

Efferocytosis-associated transcriptomic patterns characterize prognosis and immune landscape in osteosarcoma.

Journal of bone oncology
BACKGROUND: Osteosarcoma (OS) is the most common primary malignant bone tumor in adolescents, characterized by high heterogeneity and poor prognosis. Efferocytosis, the clearance of apoptotic cells, has been implicated in tumor progression and immune... read more 

UniSymNet: A Unified Symbolic Network with Sparse Encoding and Bi-level Optimization.

Neural networks : the official journal of the International Neural Network Society
Automatically discovering mathematical expressions is a challenging issue to precisely depict natural phenomena, in which Symbolic Regression (SR) is one of the most widely utilized techniques. Mainstream SR algorithms target on searching for the opt... read more 

SHAP-based explainable machine learning analysis of reward-related neural connectivity to predict preadolescent irritability.

Neuroimage. Reports
Preadolescent irritability is a robust transdiagnostic neurodevelopmental predictor of later psychopathology, linked to altered reward processing-a common neurocognitive substrate across psychiatric disorders. However, its neurobiological mechanisms ... read more 

Health Insurance Portability and Accountability Act Liability in the Age of Generative Artificial Intelligence.

Journal of the American College of Emergency Physicians open
As artificial intelligence tools become increasingly integrated into emergency department workflows, healthcare providers face a growing risk of legal liability stemming from improper use, particularly with respect to data privacy and Health Insuranc... read more 

Gradients not needed: ML-driven propagation of nonadiabatic molecular dynamics without reference gradients.

Chemical science
The recent development of machine learning (ML) methods for quantum chemistry has tremendously boosted the efficiency of molecular calculations. In this work, we use ML to enable nonadiabatic molecular dynamics (NAMD) simulations without access to th... read more 

Exploring financial sentiment analysis via fine-tuning large language model and attributed graph neural network.

Neural networks : the official journal of the International Neural Network Society
Financial sentiment analysis (FSA) refers to the task of classifying textual content into predefined sentiment categories to analyze their potential impacts on financial market fluctuations. However, directly applying these pre-trained LLMs to FSA st... read more 

Self-driving bioprinting laboratories.

Biofabrication
The severe shortage of donor organs and limitations of current disease models highlight the urgent need for transformative strategies in tissue engineering (TE) and regenerative medicine (RM). Bioprinting has emerged as a powerful approach for creati... read more 

Mechanism design and experiment verification of a mole-inspired robot burrowing with incisors.

Bioinspiration & biomimetics
With the growing demand for underground resources, traditional drilling equipment faces significant limitations in soil environments. In recent years, bionic burrowing robots have attracted increasing research attention for their potential advantages... read more