Surveys

[Guidelines for clinical trial protocols for interventions involving artificial intelligence: the SPIRIT-AI extensionDiretrizes para protocolos de ensaios clínicos com intervenções que utilizam inteligência artificial: a extensão SPIRIT-AI].

The SPIRIT 2013 statement aims to improve the completeness of clinical trial protocol reporting by p...

Bias in Artificial Intelligence: Basic Primer.

Artificial Intelligence and Data Mining for the Pharmacovigilance of Drug-Drug Interactions.

Despite increasing mechanistic understanding, undetected and underrecognized drug-drug interactions ...

A survey of machine learning-based methods for COVID-19 medical image analysis.

The ongoing COVID-19 pandemic caused by the SARS-CoV-2 virus has already resulted in 6.6 million dea...

Development and validation of questionnaire-based machine learning models for predicting all-cause mortality in a representative population of China.

BACKGROUND: Considering that the previously developed mortality prediction models have limited appli...

A hybrid intelligent model for early validation of infectious diseases: An explorative study of machine learning approaches.

Literature reports several infectious diseases news validation approaches, but none is economically ...

Avoiding bias in artificial intelligence.

Artificial intelligence (AI) is ubiquitous and expanding, and the healthcare industry has rapidly ad...

A Hybrid Generic Framework for Heart Problem Diagnosis Based on a Machine Learning Paradigm.

The early, valid prediction of heart problems would minimize life threats and save lives, while lack...

A Survey on Low-Latency DNN-Based Speech Enhancement.

This paper presents recent advances in low-latency, single-channel, deep neural network-based speech...

Quasi-synchronization of drive-response systems with parameter mismatch via event-triggered impulsive control.

In this paper, an event-triggered impulsive control method is proposed to investigate the quasi-sync...

[A survey study towards the opinions of clinicians, patients and care partners regarding computer tools in the memory clinic: sense or nonsense?].

INTRODUCTION: Computer tools based on artificial intelligence could aid clinicians in memory clinics...

Objective assessment of intraoperative skills for robot-assisted partial nephrectomy (RAPN).

RAPN training usually takes place in-vivo and methods vary across countries/institutions. No common ...

Racial Health Disparities and Black Heterogeneity in COVID-19: A Case Study of Miami Gardens.

The COVID-19 pandemic is a critical public health concern that has disproportionately affected the B...

Machine Learning and Health Care: Potential Benefits and Issues.

We discuss the potential for machine learning (ML) and artificial intelligence (AI) to improve healt...

Drone-assisted collection of environmental DNA from tree branches for biodiversity monitoring.

The protection and restoration of the biosphere is crucial for human resilience and well-being, but ...

Neurodegenerative disease of the brain: a survey of interdisciplinary approaches.

Neurodegenerative diseases of the brain pose a major and increasing global health challenge, with on...

Reliability of respiratory-gated real-time two-dimensional cine incorporating deep learning reconstruction for the assessment of ventricular function in an adult population.

This study aimed to assess the image quality and accuracy of respiratory-gated real-time two-dimensi...

Reliability, validity and clinical usability of a robotic assessment of finger proprioception in persons with multiple sclerosis.

BACKGROUND: Multiple sclerosis often leads to proprioceptive impairments of the hand. However, it is...

Blockchain-Driven Intelligent Scheme for IoT-Based Public Safety System beyond 5G Networks.

Mobile applications have rapidly grown over the past few decades to offer futuristic applications, s...

Towards robotic laboratory automation Plug & play: Survey and concept proposal on teaching-free robot integration with the lapp digital twin.

The Laboratory Automation Plug & Play (LAPP) framework is an over-arching reference architecture con...

Implementing machine learning methods with complex survey data: Lessons learned on the impacts of accounting sampling weights in gradient boosting.

Despite the prominent use of complex survey data and the growing popularity of machine learning meth...