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

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Addressing Fairness, Bias, and Appropriate Use of Artificial Intelligence and Machine Learning in Global Health.

In Low- and Middle- Income Countries (LMICs), machine learning (ML) and artificial intelligence (AI)...

A survey on active learning and human-in-the-loop deep learning for medical image analysis.

Fully automatic deep learning has become the state-of-the-art technique for many tasks including ima...

Machine Learning in Clinical Psychology and Psychotherapy Education: A Mixed Methods Pilot Survey of Postgraduate Students at a Swiss University.

There is increasing use of psychotherapy apps in mental health care. This mixed methods pilot stud...

Role of AI and Histopathological Images in Detecting Prostate Cancer: A Survey.

Prostate cancer is one of the most identified cancers and second most prevalent among cancer-related...

A convolutional neural network to identify motor units from high-density surface electromyography signals in real time.

. This paper aims to investigate the feasibility and the validity of applying deep convolutional neu...

A New Dataset for Facial Motion Analysis in Individuals With Neurological Disorders.

We present the first public dataset with videos of oro-facial gestures performed by individuals with...

Extracting Cause of Death From Verbal Autopsy With Deep Learning Interpretable Methods.

The international standard to ascertain the cause of death is medical certification. However, in man...

A Survey on Multi-View Clustering.

Clustering is a machine learning paradigm of dividing sample subjects into a number of groups such t...

Applying deep learning in digital breast tomosynthesis for automatic breast cancer detection: A review.

The relatively recent reintroduction of deep learning has been a revolutionary force in the interpre...

Development and feasibility of a soft pneumatic-robotic glove to assist impaired hand function in quadriplegia patients: A pilot study.

One of the common disorders in people with quadriplegia is having a weak grip strength that can affe...

A Survey on Learning-Based Approaches for Modeling and Classification of Human-Machine Dialog Systems.

With the rapid development from traditional machine learning (ML) to deep learning (DL) and reinforc...

Predicting innovative firms using web mining and deep learning.

Evidence-based STI (science, technology, and innovation) policy making requires accurate indicators ...

Balancing Data on Deep Learning-Based Proteochemometric Activity Classification.

In silico analysis of biological activity data has become an essential technique in pharmaceutical d...

Lacrimal Sac Anterior Border-Maxillary Line Distance: Effect on Endoscopic Dacryocystorhinostomy (EDCR) Surgery Results and NLDO-SS Questionnaire.

This study aimed to investigate the effect of the maxillary line (ML)-lacrimal sac anterior border (...

Reducing bias to source samples for unsupervised domain adaptation.

Unsupervised Domain Adaptation (UDA) makes predictions for the target domain data while labels are o...

Protocol for a reproducible experimental survey on biomedical sentence similarity.

Measuring semantic similarity between sentences is a significant task in the fields of Natural Langu...

Predicting Emotional States Using Behavioral Markers Derived From Passively Sensed Data: Data-Driven Machine Learning Approach.

BACKGROUND: Mental health disorders affect multiple aspects of patients' lives, including mood, cogn...

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