Surveys

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 for monitoring these emissions at the hospital level are needed to decarbonize the sector. However, data collection to estimate emissions is challenging, especially for smaller hospitals. We explored the potential of gradient boosting machines (GBM) to impute missing data on resource consumption in th...

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 evaluating response to therapy for several diseases. The integration of Artificial Intelligence (AI) and Deep Learning (DL) has significantly accelerated the automatization of volumetric calculations, enhancing accuracy and reducing variability and labor. In this review, we show that a high correlation has b...

ENAS-B: Combining ENAS With Bayesian Optimization for Automatic Design of Optimal CNN Architectures for Breast Lesion Classification From Ultrasound Images.

Efficient Neural Architecture Search (ENAS) is a recent development in searching for optimal cell structures for Convolutional Neural Network (CNN) de...

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 correlation information. Current neural networks m...

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 person's psychological stress level based on analysis o...

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 an individual cow or a group of cows. The aim of ...

Central Auditory Processing Impairment in Renal Failure.

UNLABELLED: This study is the first to investigate central auditory processing impairment in patients with slight decrease in renal function (PSR), wh...

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 rapidly. In dermatology, this has been accelerated ...

Harmonizing minds and machines: survey on transformative power of machine learning in music.

This survey explores the symbiotic relationship between Machine Learning (ML) and music, focusing on the transformative role of Artificial Intelligenc...

Deep-learning-assisted Sort-Seq enables high-throughput profiling of gene expression characteristics with high precision.

Owing to the nondeterministic and nonlinear nature of gene expression, the steady-state intracellular protein abundance of a clonal population forms a...

The application of objective clinical human reliability analysis (OCHRA) in the assessment of basic robotic surgical skills.

BACKGROUND: Using a validated, objective, and standardised assessment tool to assess progression and competency is essential for basic robotic surgica...

Commercial artificial intelligence lateral cephalometric analysis: part 1-the possibility of replacing manual landmarking with artificial intelligence service.

Artificial intelligence (AI) technology has recently been introduced to dentistry. AI-assisted cephalometric analysis is one of its applications, and ...

Adaptive bias-variance trade-off in advantage estimator for actor-critic algorithms.

Actor-critic methods are leading in many challenging continuous control tasks. Advantage estimators, the most common critics in the actor-critic frame...

Significant wave height prediction from X-band marine radar images using deep learning with 3D convolutions.

This research introduces a deep learning method for ocean wave height estimation utilizing a Convolutional Neural Network (CNN) based on the VGGNet. T...

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 side effect of data integration/preparation. We f...

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 diagnosis, risk stratification and resource allocation. Ho...

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

Integrating artificial intelligence (AI) has transformed living standards. However, AI's efforts are being thwarted by concerns about the rise of bias...

Cybersecurity in neural interfaces: Survey and future trends.

With the joint advancement in areas such as pervasive neural data sensing, neural computing, neuromodulation and artificial intelligence, neural inter...

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 the performance of a deep learning-based sleep st...

(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 artificial inteligence-based large language model. Its ...