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

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Artificial intelligence for mechanical ventilation: systematic review of design, reporting standards, and bias.

BACKGROUND: Artificial intelligence (AI) has the potential to personalise mechanical ventilation str...

A transfer learning approach for predictive modeling of bioprocesses using small data.

Predictive modeling of new biochemical systems with small data is a great challenge. To fill this ga...

Risk of bias assessment in preclinical literature using natural language processing.

We sought to apply natural language processing to the task of automatic risk of bias assessment in p...

Predicting Popularity of Video Streaming Services with Representation Learning: A Survey and a Real-World Case Study.

The Internet's popularization has increased the amount of content produced and consumed on the web. ...

Cancer survival prognosis with Deep Bayesian Perturbation Cox Network.

BACKGROUND: The Cox proportional hazards model with neural networks is widely used to accurately pre...

Using CatBoost algorithm to identify middle-aged and elderly depression, national health and nutrition examination survey 2011-2018.

Depression is one of the most common mental health problems in middle-aged and elderly people. The e...

Human Activity Recognition: A Dynamic Inductive Bias Selection Perspective.

In this article, we study activity recognition in the context of sensor-rich environments. In these ...

On learning disentangled representations for individual treatment effect estimation.

OBJECTIVE: Estimating the individualized treatment effect (ITE) from observational data is a challen...

How doppelgänger effects in biomedical data confound machine learning.

Machine learning (ML) models have been increasingly adopted in drug development for faster identific...

A Survey on Explainable Artificial Intelligence (XAI): Toward Medical XAI.

Recently, artificial intelligence and machine learning in general have demonstrated remarkable perfo...

3D Recognition Based on Sensor Modalities for Robotic Systems: A Survey.

3D visual recognition is a prerequisite for most autonomous robotic systems operating in the real wo...

Perceptions of AI engaging in human expression.

Though humans should defer to the superior judgement of AI in an increasing number of domains, certa...

Hourly Origin-Destination Matrix Estimation Using Intelligent Transportation Systems Data and Deep Learning.

Predicting the travel demand plays an indispensable role in urban transportation planning. Data coll...

CMOS Implementation of ANNs Based on Analog Optimization of N-Dimensional Objective Functions.

The design of neural network architectures is carried out using methods that optimize a particular o...

Improved Accuracy in Predicting the Best Sensor Fusion Architecture for Multiple Domains.

Multi-sensor fusion intends to boost the general reliability of a decision-making procedure or allow...

Comparing deep learning-based automatic segmentation of breast masses to expert interobserver variability in ultrasound imaging.

Deep learning is a powerful tool that became practical in 2008, harnessing the power of Graphic Proc...

The Influence of Robot-Assisted Learning System on Health Literacy and Learning Perception.

Healthy aging is a new challenge for the world. Therefore, health literacy education is a key issue ...

Reinforcing bar development length modeling using integrative support vector regression model with response surface method: New approach.

Due to the non-uniformity of bond stress distribution, the full bar development length should be tes...

Risk of bias in studies on prediction models developed using supervised machine learning techniques: systematic review.

OBJECTIVE: To assess the methodological quality of studies on prediction models developed using mach...

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