Surveys

SIMPLEX: Multiple phase-cycled bSSFP quantitative magnetization transfer imaging with physic-guided simulation learning of neural network.

Most quantitative magnetization transfer (qMT) imaging methods require acquiring additional quantita...

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...

Outcome prediction of methadone poisoning in the United States: implications of machine learning in the National Poison Data System (NPDS).

Methadone is an opioid receptor agonist with a high potential for abuse. The current study aimed to ...

AdjointBackMapV2: Precise reconstruction of arbitrary CNN unit's activation via adjoint operators.

Adjoint operators have been found to be effective in the exploration of CNN's inner workings (Wan an...

The Impact of Data on Structure-Based Binding Affinity Predictions Using Deep Neural Networks.

Artificial intelligence (AI) has gained significant traction in the field of drug discovery, with de...

Human selection bias drives the linear nature of the more ground truth effect in explainable deep learning optical coherence tomography image segmentation.

Supervised deep learning (DL) algorithms are highly dependent on training data for which human grade...

Moving From PQRST to AI: Advancing Transparency, Reliability, and Clinical Translation in ECG Deep Learning.

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 intracellula...

Your robot therapist is not your therapist: understanding the role of AI-powered mental health chatbots.

Artificial intelligence (AI)-powered chatbots have the potential to substantially increase access to...

A survey on cancer detection via convolutional neural networks: Current challenges and future directions.

Cancer is a condition in which abnormal cells uncontrollably split and damage the body tissues. Henc...

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...

Perspectives of Patients With Chronic Diseases on Future Acceptance of AI-Based Home Care Systems: Cross-Sectional Web-Based Survey Study.

BACKGROUND: Artificial intelligence (AI)-based home care systems and devices are being gradually int...

Comparison between observer-based and AI-based reading of CBCT datasets: An interrater-reliability study.

OBJECTIVE: To assess the performance of human observers and convolutional neural networks (CNNs) in ...

Why do errors arise in artificial intelligence diagnostic tools in histopathology and how can we minimize them?

Artificial intelligence (AI)-based diagnostic tools can offer numerous benefits to the field of hist...

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 cepha...

Assessing the reliability of ChatGPT: a content analysis of self-generated and self-answered questions on clear aligners, TADs and digital imaging.

INTRODUCTION: Artificial Intelligence (AI) is a tool that is already part of our reality, and this i...

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,...

A survey on few-shot class-incremental learning.

Large deep learning models are impressive, but they struggle when real-time data is not available. F...

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 Convolu...

Deep learning assisted sparse array ultrasound imaging.

This study aims to restore grating lobe artifacts and improve the image resolution of sparse array u...

Wife-Mother Role Conflict at the Critical Child-Rearing Stage: A Machine-Learning Approach to Identify What and How Matters in Maternal Depression Symptoms in China.

Maternal depression (MD) was one of the most prevalent psychiatric problems worldwide. However, it e...