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

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Automation Bias in Mammography: The Impact of Artificial Intelligence BI-RADS Suggestions on Reader Performance.

Background Automation bias (the propensity for humans to favor suggestions from automated decision-m...

Development of a high fidelity, multidisciplinary, crisis simulation model for robotic surgical teams.

Immediate access to the patient in crisis situations, such as cardiac arrest during robotic surgery,...

Explaining and Visualizing Embeddings of One-Dimensional Convolutional Models in Human Activity Recognition Tasks.

Human Activity Recognition (HAR) is a complex problem in deep learning, and One-Dimensional Convolut...

Survey and Evaluation of Hypertension Machine Learning Research.

Background Machine learning (ML) is pervasive in all fields of research, from automating tasks to co...

Small Data Can Play a Big Role in Chemical Discovery.

The chemistry community is currently witnessing a surge of scientific discoveries in organic chemist...

Water level prediction using soft computing techniques: A case study in the Malwathu Oya, Sri Lanka.

Hydrologic models to simulate river flows are computationally costly. In addition to the precipitati...

Assessment of Awareness, Perceptions, and Opinions towards Artificial Intelligence among Healthcare Students in Riyadh, Saudi Arabia.

: The role of the pharmacist in healthcare society is unique, since they are providers of health inf...

A scoping review on deep learning for next-generation RNA-Seq. data analysis.

In the last decade, transcriptome research adopting next-generation sequencing (NGS) technologies ha...

Data-driven prediction models for forecasting multistep ahead profiles of mammalian cell culture toward bioprocess digital twins.

Recently, the advancement in process analytical technology and artificial intelligence (AI) has enab...

Implementation of hybrid wind speed prediction model based on different data mining and signal processing approaches.

Accurate estimation of wind speed (WS) data, which greatly influences meteorological parameters, pla...

A survey on agents applications in healthcare: Opportunities, challenges and trends.

BACKGROUND AND OBJECTIVE: The agent abstraction is a powerful one, developed decades ago to represen...

The role of an open artificial intelligence platform in modern neurosurgical education: a preliminary study.

The use of artificial intelligence in neurosurgical education has been growing in recent times. Chat...

Automatic sleep staging for the young and the old - Evaluating age bias in deep learning.

BACKGROUND: Various deep-learning systems have been proposed for automated sleep staging. Still, the...

Open Data and transparency in artificial intelligence and machine learning: A new era of research.

Artificial Intelligence (AI) and machine learning are the current forefront of computer science and ...

All answers are in the images: A review of deep learning for cerebrovascular segmentation.

Cerebrovascular imaging is a common examination. Its accurate cerebrovascular segmentation become an...

Australian perspectives on artificial intelligence in veterinary practice.

While artificial intelligence (AI) and recent developments in deep learning (DL) have sparked intere...

How cultural framing can bias our beliefs about robots and artificial intelligence.

Clark and Fischer argue that humans treat social artifacts as depictions. In contrast, theories of d...

A Survey on Brain Effective Connectivity Network Learning.

Human brain effective connectivity characterizes the causal effects of neural activities among diffe...

High-resolution rural poverty mapping in Pakistan with ensemble deep learning.

High resolution poverty mapping supports evidence-based policy and research, yet about half of all c...

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