Fernando Andreotti

Particle Swarm Optimization Algorithm and Its Applications: A Systematic Review

PTB-XL, a large publicly available electrocardiography dataset

Leveraging artificial intelligence for pandemic preparedness and response: a scoping review to identify key use cases

An overview of clinical decision support systems: benefits, risks, and strategies for success

Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network

Coronavirus disease (COVID-19) cases analysis using machine-learning applications

AI in health and medicine

Multimodal biomedical AI

Automated detection of COVID-19 cases using deep neural networks with X-ray images

Review of deep learning: concepts, CNN architectures, challenges, applications, future directions

Applications of artificial intelligence in battling against covid-19: A literature review

Key challenges for delivering clinical impact with artificial intelligence

A comprehensive survey on multimodal medical signals fusion for smart healthcare systems

Day-ahead traffic flow forecasting based on a deep belief network optimized by the multi-objective particle swarm algorithm

Annotated 12 lead ECG dataset

Early risk assessment for COVID-19 patients from emergency department data using machine learning

Multimodal heart beat detection using signal quality indices

Comparing Feature Based Classifiers and Convolutional Neural Networks to Detect Arrhythmia from Short Segments of ECG