Surveys

Providing Aging Adults Social Robots' Companionship in Home-Based Elder Care.

Population aging is increasingly serious. The application of social robots for home-based elder care...

Deep learning for cellular image analysis.

Recent advances in computer vision and machine learning underpin a collection of algorithms with an ...

Assessing the concurrent validity of a gait analysis system integrated into a smart walker in older adults with gait impairments.

OBJECTIVE: To assess the concurrent validity of a smart walker-integrated gait analysis system with ...

Robo-pups, printed ears and bias - a tour of AI.

Computational neurology of gravity perception involving semicircular canal dysfunction in unilateral vestibular lesions.

Unilateral peripheral vestibular lesions not only lead to vertigo, nystagmus and imbalance, but also...

See your mental state from your walk: Recognizing anxiety and depression through Kinect-recorded gait data.

As the challenge of mental health problems such as anxiety and depression increasing today, more con...

A Precision Environment-Wide Association Study of Hypertension via Supervised Cadre Models.

We consider the problem in precision health of grouping people into subpopulations based on their de...

Research-based versus clinical serum creatinine measurements and the association of acute kidney injury with subsequent kidney function: findings from the Chronic Renal Insufficiency Cohort study.

BACKGROUND: Observational studies relying on clinically obtained data have shown that acute kidney i...

Identifying predictors of within-person variance in MRI-based brain volume estimates.

Adequate reliability of measurement is a precondition for investigating individual differences and a...

Discrimination of the hierarchical structure of cortical layers in 2-photon microscopy data by combined unsupervised and supervised machine learning.

The laminar organization of the cerebral cortex is a fundamental characteristic of the brain, with e...

A comparison of machine learning algorithms and covariate balance measures for propensity score matching and weighting.

Propensity score matching (PSM) and propensity score weighting (PSW) are popular tools to estimate c...

Machine learning to help researchers evaluate biases in clinical trials: a prospective, randomized user study.

OBJECTIVE: Assessing risks of bias in randomized controlled trials (RCTs) is an important but labori...

Machine Learning to Predict Outcomes in Patients with Acute Gastrointestinal Bleeding: A Systematic Review.

Risk stratification of patients with gastrointestinal bleeding (GIB) is recommended, but current ris...

Research on Patient Satisfaction of Robotic Telerounding: A Pilot Study in a Korean Population.

OBJECTIVES: To evaluate the efficacy and functionality of robotic telerounding among Korean patients...

Use of artificial intelligence (AI) in the interpretation of intrapartum fetal heart rate (FHR) tracings: a systematic review and meta-analysis.

OBJECTIVES: To determine the degree of inter-rater reliability (IRR) between human and artificial in...

How to Check the Reliability of Artificial Intelligence Solutions-Ensuring Client Expectations are Met.

Development and validation of a questionnaire to assess public receptivity toward autonomous vehicles and its relation with the traffic safety climate in China.

The advent of autonomous vehicles (AVs) has gained increasing attention in China. Although auto manu...

Towards real-time respiratory motion prediction based on long short-term memory neural networks.

Radiation therapy of thoracic and abdominal tumors requires incorporating the respiratory motion int...

A two-site survey of medical center personnel's willingness to share clinical data for research: implications for reproducible health NLP research.

BACKGROUND: A shareable repository of clinical notes is critical for advancing natural language proc...

Automated quantitative tumour response assessment of MRI in neuro-oncology with artificial neural networks: a multicentre, retrospective study.

BACKGROUND: The Response Assessment in Neuro-Oncology (RANO) criteria and requirements for a uniform...

Not-so-supervised: A survey of semi-supervised, multi-instance, and transfer learning in medical image analysis.

Machine learning (ML) algorithms have made a tremendous impact in the field of medical imaging. Whil...