Surveys

Large-scale comparative assessment of computational predictors for lysine post-translational modification sites.

Lysine post-translational modifications (PTMs) play a crucial role in regulating diverse functions a...

Gender and Parity in Statistical Prediction of Anterior Carry Hand-Loads from Inertial Sensor Data.

The objective of this study was to examine potential gender effects on the performance of a statisti...

Transparent Reporting on Research Using Unstructured Electronic Health Record Data to Generate 'Real World' Evidence of Comparative Effectiveness and Safety.

Research that makes secondary use of administrative and clinical healthcare databases is increasingl...

Real world evidence in cardiovascular medicine: ensuring data validity in electronic health record-based studies.

OBJECTIVE: With growing availability of digital health data and technology, health-related studies a...

A Survey of Deep-Learning Applications in Ultrasound: Artificial Intelligence-Powered Ultrasound for Improving Clinical Workflow.

Ultrasound is the most commonly used imaging modality in clinical practice because it is a nonionizi...

Natural Language Processing Based Approach for Identification of Problems in Medical Image Management Using PACS.

We investigated problems concerning medical imaging management using PACS in medical settings throug...

Evaluating the Validity of a Knowledge-Based System for Proactive Knowledge Transfer for Caregiving Relatives.

The evaluation of the validity of a knowledge-based system is of great importance during its develop...

Using Smartphone Survey Data and Machine Learning to Identify Situational and Contextual Risk Factors for HIV Risk Behavior Among Men Who Have Sex with Men Who Are Not on PrEP.

"Just-in-time" interventions (JITs) delivered via smartphones have considerable potential for reduci...

Outlier detection for questionnaire data in biobanks.

BACKGROUND: Biobanks increasingly collect, process and store omics with more conventional epidemiolo...

Application of Machine Learning to Prediction of Surgical Site Infection.

Surgical site infections are an important health concern, particularly in low-resource areas, where ...

Daytime Data and LSTM can Forecast Tomorrow's Stress, Health, and Happiness.

Accurately forecasting well-being may enable people to make desirable behavioral changes that could ...

Algorithmic Bias and Computer-Assisted Scoring of Patient Notes in the USMLE Step 2 Clinical Skills Exam.

Survey of Machine Learning Techniques for Prediction of the Isoform Specificity of Cytochrome P450 Substrates.

BACKGROUND: Determination or prediction of the Absorption, Distribution, Metabolism, and Excretion (...

Validity of Natural Language Processing for Ascertainment of and Test Results in SEER Cases of Stage IV Non-Small-Cell Lung Cancer.

PURPOSE: SEER registries do not report results of epidermal growth factor receptor () and anaplastic...

Physical Activity Change in an RCT: Comparison of Measurement Methods.

We aimed to quantify the agreement between self-report, standard cut-point accelerometer, and machi...

Social robotics and the modulation of social perception and bias.

The field of social robotics offers an unprecedented opportunity to probe the process of impression ...

Application of artificial intelligence in gastroenterology.

Artificial intelligence (AI) using deep-learning (DL) has emerged as a breakthrough computer technol...

The Role of the ACR Data Science Institute in Advancing Health Equity in Radiology.

Commercially available artificial intelligence (AI) algorithms outside of health care have been show...

Artificial Intelligence and the Future of the Drug Safety Professional.

The healthcare industry, and specifically the pharmacovigilance industry, recognizes the need to sup...

Learning From Peers' Eye Movements in the Absence of Expert Guidance: A Proof of Concept Using Laboratory Stock Trading, Eye Tracking, and Machine Learning.

Existing research shows that people can improve their decision skills by learning what experts paid ...

Deep learning in omics: a survey and guideline.

Omics, such as genomics, transcriptome and proteomics, has been affected by the era of big data. A h...