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

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A Neural Database for Answering Aggregate Queries on Incomplete Relational Data.

Real-world datasets are often incomplete due to data collection cost, privacy considerations or as a...

A Survey of Publicly Available MRI Datasets for Potential Use in Artificial Intelligence Research.

Artificial intelligence (AI) has the potential to bring transformative improvements to the field of ...

The value of standards for health datasets in artificial intelligence-based applications.

Artificial intelligence as a medical device is increasingly being applied to healthcare for diagnosi...

A step toward building a unified framework for managing AI bias.

Integrating artificial intelligence (AI) has transformed living standards. However, AI's efforts are...

Triangulation of Questionnaires, Qualitative Data and Natural Language Processing: A Differential Approach to Religious Bahá'í Fasting in Germany.

Approaches to integrating mixed methods into medical research are gaining popularity. To get a holis...

Shifting Perspectives: A proposed framework for analyzing head-mounted eye-tracking data with dynamic areas of interest and dynamic scenes.

Eye-tracking is a valuable research method for understanding human cognition and is readily employed...

Impact of preferred surgical modality on surgeon wellness: a survey of workload, physical pain/discomfort, and neuromusculoskeletal disorders.

BACKGROUND: We compared surgeons' workload, physical discomfort, and neuromusculoskeletal disorders ...

Uncovering hidden therapeutic indications through drug repurposing with graph neural networks and heterogeneous data.

Drug repurposing has gained the attention of many in the recent years. The practice of repurposing e...

Cybersecurity in neural interfaces: Survey and future trends.

With the joint advancement in areas such as pervasive neural data sensing, neural computing, neuromo...

Radiology Residents' Perceptions of Artificial Intelligence: Nationwide Cross-Sectional Survey Study.

BACKGROUND: Artificial intelligence (AI) is transforming various fields, with health care, especiall...

[The transformative effect of artificial intelligence in hospitals : The focus is on the individual].

Rapid advances in digital technology and the promising potential of artificial intelligence (AI) are...

Deep learning-based sleep stage classification with cardiorespiratory and body movement activities in individuals with suspected sleep disorders.

Deep learning methods have gained significant attention in sleep science. This study aimed to assess...

Health Care Trainees' and Professionals' Perceptions of ChatGPT in Improving Medical Knowledge Training: Rapid Survey Study.

BACKGROUND: ChatGPT is a powerful pretrained large language model. It has both demonstrated potentia...

(How) ChatGPT-Artificial Intelligence Thinks It Can Help/Harm Physiatry.

ChatGPT is a chatbot that is based on the generative pretrained transformer architecture as an artif...

A Real-Time Automated Machine Learning Algorithm for Predicting Mortality in Trauma Patients: Survey Says it's Ready for Prime-Time.

BACKGROUND: Though artificial intelligence ("AI") has been increasingly applied to patient care, man...

AC-PLT: An algorithm for computer-assisted coding of semantic property listing data.

In this paper, we present a novel algorithm that uses machine learning and natural language processi...

Causal inference and observational data.

Observational studies using causal inference frameworks can provide a feasible alternative to random...

Advanced monitoring and numerical modelling of the stability, safety and reliability indicators of the earthen dam of Songloulou (Cameroon).

For the determination of global stability after long term advanced monitoring, artificial intelligen...

Interdisciplinary evaluation of a robot physically collaborating with workers.

Collaborative Robots-CoBots-are emerging as a promising technological aid for workers. To date, most...

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