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

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Understanding the black-box: towards interpretable and reliable deep learning models.

Deep learning (DL) has revolutionized the field of artificial intelligence by providing sophisticate...

Comparison of large language models in management advice for melanoma: Google's AI BARD, BingAI and ChatGPT.

Large language models (LLMs) are emerging artificial intelligence (AI) technology refining research ...

Reliability of artificial intelligence in predicting total knee arthroplasty component sizes: a systematic review.

PURPOSE: This systematic review aimed to investigate the reliability of AI predictive models of intr...

Deep learning for the prediction of clinical outcomes in internet-delivered CBT for depression and anxiety.

In treating depression and anxiety, just over half of all clients respond. Monitoring and obtaining ...

Predicting the Climate Impact of Healthcare Facilities Using Gradient Boosting Machines.

Health care accounts for 9-10% of greenhouse gas (GHG) emissions in the United States. Strategies fo...

Data-driven modelling for assessing trophic status in marine ecosystems using machine learning approaches.

Assessing eutrophication in coastal and transitional waters is of utmost importance, yet existing Tr...

European Nephrologists' Attitudes toward the Application of Artificial Intelligence in Clinical Practice: A Comprehensive Survey.

INTRODUCTION: The rapid advancement of artificial intelligence and big data analytics, including des...

Artificial Intelligence-powered automatic volume calculation in medical images - available tools, performance and challenges for nuclear medicine.

Volumetry is crucial in oncology and endocrinology, for diagnosis, treatment planning, and evaluatin...

Inferring population dynamics in macaque cortex.

The proliferation of multi-unit cortical recordings over the last two decades, especially in macaque...

Label-Free CD34+ Cell Identification Using Deep Learning and Lens-Free Shadow Imaging Technology.

Accurate and efficient classification and quantification of CD34+ cells are essential for the diagno...

Identification of High-Reliability Regions of Machine Learning Predictions Based on Materials Chemistry.

Progress in the application of machine learning (ML) methods to materials design is hindered by the ...

Feature-wise scaling and shifting: Improving the generalization capability of neural networks through capturing independent information of features.

From the perspective of input features, information can be divided into independent information and ...

Reliability and validity of a widely-available AI tool for assessment of stress based on speech.

Cigna's online stress management toolkit includes an AI-based tool that purports to evaluate a perso...

Development and validation of a fully automated 2-dimensional imaging system generating body condition scores for dairy cows using machine learning.

Monitoring body condition score (BCS) is a useful management tool to estimate the energy reserves of...

Central Auditory Processing Impairment in Renal Failure.

UNLABELLED: This study is the first to investigate central auditory processing impairment in patient...

Patient perspectives of artificial intelligence as a medical device in a skin cancer pathway.

The use of artificial intelligence as a medical device (AIaMD) in healthcare systems is increasing r...

ChatGPT in medical writing: A game-changer or a gimmick?

OpenAI's ChatGPT (Generative Pre-trained Transformer) is a chatbot that answers questions and perfor...

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