Public Health & Policy

Ethics

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

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Multitask Non-Autoregressive Model for Human Motion Prediction.

Human motion prediction, which aims at predicting future human skeletons given the past ones, is a t...

Robotic lower extremity exoskeleton use in a non-ambulatory child with cerebral palsy: a case study.

PURPOSE: With few treatment options available for non-ambulatory children with cerebral palsy (CP), ...

Machine learning-augmented and microspectroscopy-informed multiparametric MRI for the non-invasive prediction of articular cartilage composition.

BACKGROUND: Articular cartilage degeneration is the hallmark change of osteoarthritis, a severely di...

Enzyme Promiscuity Prediction Using Hierarchy-Informed Multi-Label Classification.

MOTIVATION: As experimental efforts are costly and time consuming, computational characterization of...

Denoising non-steady state dynamic PET data using a feed-forward neural network.

The quality of reconstructed dynamic PET images, as well as the statistical reliability of the estim...

A Preliminary Characterization of Canonicalized and Non-Canonicalized Section Headers Across Variable Clinical Note Types.

In the electronic health record, the majority of clinically relevant information is stored within cl...

Algorithmic Probability-Guided Machine Learning on Non-Differentiable Spaces.

We show how complexity theory can be introduced in machine learning to help bring together apparentl...

Recent Advancements and Future Prospects on E-Nose Sensors Technology and Machine Learning Approaches for Non-Invasive Diabetes Diagnosis: A Review.

Diabetes mellitus, commonly measured through an invasive process which although is accurate, has man...

A non-conventional lightweight Auto Regressive Neural Network for accurate and energy efficient target tracking in Wireless Sensor Network.

The design of an energy-efficient tracking framework is a well-investigated issue and a prominent se...

Teasing out Artificial Intelligence in Medicine: An Ethical Critique of Artificial Intelligence and Machine Learning in Medicine.

The rapid adoption and implementation of artificial intelligence in medicine creates an ontologicall...

Non-Rigid Respiratory Motion Estimation of Whole-Heart Coronary MR Images Using Unsupervised Deep Learning.

Non-rigid motion-corrected reconstruction has been proposed to account for the complex motion of the...

Deep Learning-based Recurrence Prediction in Patients with Non-muscle-invasive Bladder Cancer.

BACKGROUND: Non-muscle-invasive bladder cancer (NMIBC) is characterized by frequent recurrence of th...

Evidence of memory from brain data.

Much courtroom evidence relies on assessing witness memory. Recent advances in brain imaging analysi...

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