Ethics

TVAR: assessing tissue-specific functional effects of non-coding variants with deep learning.

MOTIVATION: Analysis of whole-genome sequencing (WGS) for genetics is still a challenge due to the l...

No means 'No': a non-improper modeling approach, with embedded speculative context.

MOTIVATION: The medical data are complex in nature as terms that appear in records usually appear in...

Causes of Outcome Learning: a causal inference-inspired machine learning approach to disentangling common combinations of potential causes of a health outcome.

Nearly all diseases are caused by different combinations of exposures. Yet, most epidemiological stu...

[Artificial intelligence in cardiology].

Artificial intelligence (AI) in cardiology represents a great opportunity, if further developed in a...

HLAncPred: a method for predicting promiscuous non-classical HLA binding sites.

Human leukocyte antigens (HLA) regulate various innate and adaptive immune responses and play a cruc...

Research on multi-parameter fusion non-invasive blood glucose detection method based on machine learning.

OBJECTIVE: Traditional blood glucose testing methods have several disadvantages, such as high pain a...

Non-invasive imaging through scattering medium and around corners beyond 3D memory effect.

The three-dimensional (3D) memory effect (ME) has been shown to exist in a variety of scattering sce...

Clinical validation of deep learning algorithms for radiotherapy targeting of non-small-cell lung cancer: an observational study.

BACKGROUND: Artificial intelligence (AI) and deep learning have shown great potential in streamlinin...

Long-Term Outcome of Non-antireflux Robotic-Assisted Robot-Assisted Laparoscopic Ureter Reimplantation in Ureteral Obstruction.

Although robot-assisted laparoscopic ureter reimplantation (RALUR) is a recognized alternative to o...

[Application and progress of artificial intelligence technology in gastric cancer diagnosis and treatment].

Artificial intelligence (AI) is one of the most rapidly evolving fields in biomedicine during the pa...

Application of non-negative matrix factorization in oncology: one approach for establishing precision medicine.

The increase in the expectations of artificial intelligence (AI) technology has led to machine learn...

Cerebral Palsy Prediction with Frequency Attention Informed Graph Convolutional Networks.

Early diagnosis and intervention are clinically con-sidered the paramount part of treating cerebral ...

Non-Contact REM Sleep Estimation Correction by Time-Series Confidence of Predictions: From Binary to Continuous Prediction in Machine Learning for Biological Data.

This paper focuses on the REM sleep estimation with bio-vibration data acquired from mattress sensor...

Deep learning based non-contact physiological monitoring in Neonatal Intensive Care Unit.

Preterm babies in the Neonatal Intensive Care Unit (NICU) have to undergo continuous monitoring of t...

In Search of a Mission: Artificial Intelligence in Clinical Ethics.

Deep learning tools are top performers in long non-coding RNA prediction.

The increasing amount of transcriptomic data has brought to light vast numbers of potential novel RN...

Machine Learning Prediction of Non-Coding Variant Impact in Human Retinal cis-Regulatory Elements.

PURPOSE: Prior studies have demonstrated the significance of specific cis-regulatory variants in ret...

Deep learning approaches to non-invasively assess molecular features of gliomas.

[World Health Organization guidance Ethical and Governance of Artificial Intelligence for health and implications for China].

With the explosive growth of deep learning and big data technology, artificial intelligence has pene...

Non-invasive imaging as the cornerstone of cardiovascular precision medicine.

AIMS: To provide an overview of the role of cardiovascular (CV) imaging in facilitating and advancin...

Defining AMIA's artificial intelligence principles.

Recent advances in the science and technology of artificial intelligence (AI) and growing numbers of...