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Latest AI and machine learning research in surveys for healthcare professionals.

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UAVs, Hyperspectral Remote Sensing, and Machine Learning Revolutionizing Reef Monitoring.

Recent advances in unmanned aerial system (UAS) sensed imagery, sensor quality/size, and geospatial ...

On the importance of hidden bias and hidden entropy in representational efficiency of the Gaussian-Bipolar Restricted Boltzmann Machines.

In this paper, we analyze the role of hidden bias in representational efficiency of the Gaussian-Bip...

Survey and experimental study on metric learning methods.

Distance metric learning has been a hot research spot recently due to its high effectiveness and eff...

Factors influencing unsafe behaviors: A supervised learning approach.

Despite its potential, the use of machine learning in safety studies had been limited. Considering m...

Reliability, validity, and clinical feasibility of a rapid and objective assessment of post-stroke deficits in hand proprioception.

BACKGROUND: Proprioceptive function can be affected after neurological injuries such as stroke. Seve...

Neuronal network-based mathematical modeling of perceived verticality in acute unilateral vestibular lesions: from nerve to thalamus and cortex.

Acute unilateral lesions of vestibular graviceptive pathways from the otolith organs and semicircula...

An On-Chip Trainable and the Clock-Less Spiking Neural Network With 1R Memristive Synapses.

Spiking neural networks (SNNs) are being explored in an attempt to mimic brain's capability to learn...

Generalized Recurrent Neural Network accommodating Dynamic Causal Modeling for functional MRI analysis.

Dynamic Causal Modeling (DCM) is an advanced biophysical model which explicitly describes the entire...

Survey on deep learning for radiotherapy.

More than 50% of cancer patients are treated with radiotherapy, either exclusively or in combination...

Reliability, validity and discriminant ability of the instrumental indices provided by a novel planar robotic device for upper limb rehabilitation.

BACKGROUND: In the last few years, there has been an increasing interest in the use of robotic devic...

Survey of potential receptivity to robotic-assisted exercise coaching in a diverse sample of smokers and nonsmokers.

A prior project found that an intensive (12 weeks, thrice weekly sessions) in-person, supervised, ex...

Understanding and diagnosing the potential for bias when using machine learning methods with doubly robust causal estimators.

Data-adaptive methods have been proposed to estimate nuisance parameters when using doubly robust se...

Robot Assisted Surgical Ward Rounds: Virtually Always There.

 While an explosion in technological sophistication has revolutionized surgery within the operating ...

An intelligent algorithm for identification of optimum mix of demographic features for trust in medical centers in Iran.

Healthcare quality is affected by various factors including trust. Patients' trust to healthcare pro...

Implementing assessments of robot-assisted technical skill in urological education: a systematic review and synthesis of the validity evidence.

OBJECTIVES: To systematically review and synthesise the validity evidence supporting intraoperative ...

Test-retest reliability of the KINARM end-point robot for assessment of sensory, motor and neurocognitive function in young adult athletes.

BACKGROUND: Current assessment tools for sport-related concussion are limited by a reliance on subje...

ESMAC BEST PAPER 2017: Using machine learning to overcome challenges in GMFCS level assignment.

We used the random forest classifier to predict Gross Motor Function Classification System (GMFCS) l...

Map Archive Mining: Visual-Analytical Approaches to Explore Large Historical Map Collections.

Historical maps are unique sources of retrospective geographical information. Recently, several map ...

Bimodal fuzzy analytic hierarchy process (BFAHP) for coronary heart disease risk assessment.

Rooted deeply in medical multiple criteria decision-making (MCDM), risk assessment is very important...

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