Identifying and Reporting Dependent Adult abuse

Perspectives: A surgeon's guide to machine learning.

The exponential increase in the volume and complexity of healthcare data presents new challenges to ...

Relation extraction from DailyMed structured product labels by optimally combining crowd, experts and machines.

The effectiveness of machine learning models to provide accurate and consistent results in drug disc...

Systematic Review of the Effectiveness of Machine Learning Algorithms for Classifying Pain Intensity, Phenotype or Treatment Outcomes Using Electroencephalogram Data.

Recent attempts to utilize machine learning (ML) to predict pain-related outcomes from Electroenceph...

Artificial intelligence in orthopedic implant model classification: a systematic review.

Although artificial intelligence models have demonstrated high accuracy in identifying specific orth...

Body shape matters: Evidence from machine learning on body shape-income relationship.

The association between physical appearance and income has been of central interest in social scienc...

User Experience in Social Robots.

Social robots are increasingly penetrating our daily lives. They are used in various domains, such a...

Bayesian Fully Convolutional Networks for Brain Image Registration.

The purpose of medical image registration is to find geometric transformations that align two medica...

Use of Machine Learning for the Estimation of Down- and Up-Link Field Exposure in Multi-Source Indoor WiFi Scenarios.

A novel Machine Learning (ML) method based on Neural Networks (NN) is proposed to assess radio-frequ...

Protocol for development of a reporting guideline (TRIPOD-AI) and risk of bias tool (PROBAST-AI) for diagnostic and prognostic prediction model studies based on artificial intelligence.

INTRODUCTION: The Transparent Reporting of a multivariable prediction model of Individual Prognosis ...

PVRED: A Position-Velocity Recurrent Encoder-Decoder for Human Motion Prediction.

Human motion prediction, which aims to predict future human poses given past poses, has recently see...

A deep learning algorithm to translate and classify cardiac electrophysiology.

The development of induced pluripotent stem cell-derived cardiomyocytes (iPSC-CMs) has been a critic...

Artificial intelligence reporting guidelines: what the pediatric radiologist needs to know.

There has been an exponential rise in artificial intelligence (AI) research in imaging in recent yea...

Reporting of prognostic clinical prediction models based on machine learning methods in oncology needs to be improved.

OBJECTIVE: Evaluate the completeness of reporting of prognostic prediction models developed using ma...

Developing a reporting guideline for artificial intelligence-centred diagnostic test accuracy studies: the STARD-AI protocol.

INTRODUCTION: Standards for Reporting of Diagnostic Accuracy Study (STARD) was developed to improve ...

BARD: A Structured Technique for Group Elicitation of Bayesian Networks to Support Analytic Reasoning.

In many complex, real-world situations, problem solving and decision making require effective reason...

Objective pain stimulation intensity and pain sensation assessment using machine learning classification and regression based on electrodermal activity.

An objective measure of pain remains an unmet need of people with chronic pain, estimated to be 1/3 ...

Wide range of applications for machine-learning prediction models in orthopedic surgical outcome: a systematic review.

Background and purpose - Advancements in software and hardware have enabled the rise of clinical pre...

The emerging role of artificial intelligence in the reporting of prostate pathology.

Computational Models Used to Predict Cardiovascular Complications in Chronic Kidney Disease Patients: A Systematic Review.

cardiovascular complications (CVC) are the leading cause of death in patients with chronic kidney d...

Reporting guidelines for artificial intelligence in healthcare research.

Reporting guidelines are structured tools developed using explicit methodology that specify the mini...

Artificial intelligence for advance requesting of immunohistochemistry in diagnostically uncertain prostate biopsies.

The use of immunohistochemistry in the reporting of prostate biopsies is an important adjunct when t...