AIMC Topic: Algorithms

Clear Filters Showing 411 to 420 of 27746 articles

Implementing Large Language Models in Health Care: Clinician-Focused Review With Interactive Guideline.

Journal of medical Internet research Jul 11, 2025
BACKGROUND: Large language models (LLMs) can generate outputs understandable by humans, such as answers to medical questions and radiology reports. With the rapid development of LLMs, clinicians face a growing challenge in determining the most suitab...
Large Language Models Language Humans Algorithms Delivery of Health Care
View on PubMed DOI

A new method for ranking q-rung ortho-pair fuzzy numbers and application.

PloS one Jul 11, 2025
The effectiveness of the q-rung ortho-pair fuzzy multi-attribute decision-making method is primarily influenced by the q-rung ortho-pair fuzzy number ranking method. This paper conducts an in-depth analysis of the shortcomings of eight existing q-run...
Fuzzy Logic Decision Making Algorithms
View on PubMed DOI

Optimizing EV charging stations and power trading with deep learning and path optimization.

PloS one Jul 11, 2025
The rapid growth of electric vehicles (EVs) presents significant challenges for power grids, particularly in managing fluctuating demand and optimizing the placement of charging infrastructure. This study proposes an integrated framework combining de...
Electricity Electric Power Supplies Deep Learning Humans Algorithms
View on PubMed DOI

Modelling key ecological factors influencing the distribution and content of silymarin antioxidant in Silybum marianum L.

PloS one Jul 11, 2025
The increasing demand for natural medicine has increased the significance of Silybum marianum as a valuable medicinal plant. It is used to restore liver cells; reduce blood cholesterol; prevent prostate, skin, and breast cancer; and protect cervical ...
Antioxidants Support Vector Machine Algorithms Ecosystem Silymarin Silybum marianum Iran
View on PubMed DOI

Fusion of Personalized Federated Learning (PFL) with Differential Privacy (DP) Learning for Diagnosis of Arrhythmia Disease.

PloS one Jul 11, 2025
This paper presents a novel privacy-preserving architecture, a fusion of Federated Learning with Personalized Models and Differential Privacy (FLPMDP), for diagnosing arrhythmia from 12-lead electrocardiogram (ECG) signals. The architecture supports ...
Humans Federated Learning Machine Learning Algorithms Privacy Electrocardiography Arrhythmias, Cardiac
View on PubMed DOI

FCRNet: Fast Fourier convolutional residual network for ventilator bearing fault diagnosis.

PloS one Jul 11, 2025
This study presents FCRNet, a Fast Fourier Convolution Residual Network, tailored for fault diagnosis of mine ventilation bearings under complex operating conditions. By integrating residual learning with Fast Fourier Convolution (FFC), FCRNet employ...
Humans Ventilators, Mechanical Fourier Analysis Neural Networks, Computer Algorithms
View on PubMed DOI

StackPIP: An Effective Computational Framework for Accurate and Balanced Identification of Proinflammatory Peptides.

Journal of chemical information and modeling Jul 10, 2025
Proinflammatory peptides (PIPs) play a crucial role in immune response modulation by orchestrating cytokine release and leukocyte recruitment. Accurate identification of PIPs is essential for understanding inflammation-related diseases and developing...
Algorithms Peptides Machine Learning Humans Computational Biology Inflammation
View on PubMed DOI

Temperature-Dependent Small-Molecule Solubility Prediction Using MoE-Enhanced Directed Message Passing Neural Networks.

Journal of chemical information and modeling Jul 10, 2025
Solubility prediction is crucial for drug development and materials science, yet existing models struggle with generalizability across diverse solvents and temperatures. This study develops a novel solubility prediction model, DMPNN-MoE, which integr...
Solubility Algorithms Solvents Temperature Small Molecule Libraries Neural Networks, Computer
View on PubMed DOI

EDRMM: enhancing drug recommendation via multi-granularity and multi-attribute representation.

BMC bioinformatics Jul 10, 2025
BACKGROUND: Drug recommendation is a crucial application of artificial intelligence in medical practice. Although many models have been proposed to solve this task, two challenges remain unresolved: (i) most existing models use all historical visits ...
Electronic Health Records Drug Interactions Humans Algorithms Artificial Intelligence
View on PubMed DOI

FF Swin-Unet: a strategy for automated segmentation and severity scoring of NAFLD.

BMC medical imaging Jul 10, 2025
BACKGROUND: Non-alcoholic fatty liver disease (NAFLD) is a significant risk factor for liver cancer and cardiovascular diseases, imposing substantial social and economic burdens. Computed tomography (CT) scans are crucial for diagnosing NAFLD and ass...
Humans Algorithms Tomography, X-Ray Computed Severity of Illness Index Spleen Radiographic Image Interpretation, Computer-Assisted Liver Non-alcoholic Fatty Liver Disease
View on PubMed DOI
Popular Topics
Recent Journals