Understanding artificial intelligence based radiology studies: What is overfitting?

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Design Characteristics of Studies Reporting the Performance of Artificial Intelligence Algorithms for Diagnostic Analysis of Medical Images: Results from Recently Published Papers

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Deep Learning for Multi-task Medical Image Segmentation in Multiple Modalities

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Lung nodule detection in CT using 3D convolutional neural networks

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Towards Understanding Regularization in Batch NormalizationPreprint

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Predicting Breast Cancer Molecular Subtype with MRI Dataset Utilizing Convolutional Neural Network Algorithm

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Axillary Lymph Node Evaluation Utilizing Convolutional Neural Networks Using MRI Dataset

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Explaining Deep Features Using Radiologist-Defined Semantic Features and Traditional Quantitative Features

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Accuracy of Distinguishing Atypical Ductal Hyperplasia From Ductal Carcinoma In Situ With Convolutional Neural Network–Based Machine Learning Approach Using Mammographic Image Data

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Principles for evaluating the clinical implementation of novel digital healthcare devices

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Bias in artificial intelligence algorithms and recommendations for mitigation

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Artificial Intelligence in Breast Cancer Diagnosis and Personalized Medicine

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An Integrated Multi-Omics and Artificial Intelligence Framework for Advance Plant Phenotyping in Horticulture

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ARTIFICIAL INTELLIGENCE IN BUSINESS AND ECONOMICS RESEARCH: TRENDS AND FUTURE

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Key Principles of Clinical Validation, Device Approval, and Insurance Coverage Decisions of Artificial Intelligence

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Dental Caries Diagnosis and Detection Using Neural Networks: A Systematic Review

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Artificial Intelligence in Orthodontics: Critical Review

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Artificial Intelligence for the Future Radiology Diagnostic Service

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Fast and accurate prediction of failure pressure of oil and gas defective pipelines using the deep learning model

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Uncertainty Reduction in Flood Susceptibility Mapping Using Random Forest and eXtreme Gradient Boosting Algorithms in Two Tropical Desert Cities, Shibam and Marib, Yemen

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GIS-based air quality modelling: spatial prediction of PM10 for Selangor State, Malaysia using machine learning algorithms

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External validation of an artificial intelligence tool for radiographic knee osteoarthritis severity classification

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Current status and future perspective of artificial intelligence applications in endoscopic diagnosis and management of gastric cancer

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Artificial intelligence for dementia prevention

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Prediction of Mixing Uniformity of Hydrogen Injection inNatural Gas Pipeline Based on a Deep Learning Model

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Utilizing artificial intelligence to support analyzing self-regulated learning: A preliminary mixed-methods evaluation from a human-centered perspective

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Artificial intelligence‐based computer‐aided system for knee osteoarthritis assessment increases experienced orthopaedic surgeons’ agreement rate and accuracy

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AI in Computational Pathology of Cancer: Improving Diagnostic Workflows and Clinical Outcomes?

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A Preliminary Study on Machine Learning-Based Evaluation of Static and Dynamic FET-PET for the Detection of Pseudoprogression in Patients with IDH-Wildtype Glioblastoma

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Ensemble of handcrafted and deep features for urban sound classification

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Understanding artificial intelligence based radiology studies: CNN architecture

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Artificial intelligence for ultrasonography: unique opportunities and challenges

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Accuracy of artificial intelligence for tooth extraction decision-making in orthodontics: a systematic review and meta-analysis

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A review of the application of three-dimensional convolutional neural networks for the diagnosis of Alzheimer’s disease using neuroimaging

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Pulmonary Hypertension in Association with Lung Disease: Quantitative CT and Artificial Intelligence to the Rescue? State-of-the-Art Review

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Multi-omics integration strategy in the post-mortem interval of forensic science

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A comparative study between PCR, PLSR, and LW-PLS on the predictive performance at different data splitting ratios

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Machine learning applications in precision medicine: Overcoming challenges and unlocking potential

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Diagnostic accuracy of radiomics and artificial intelligence models in diagnosing lymph node metastasis in head and neck cancers: a systematic review and meta-analysis

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Band Visibility in High-Resolution Optical Coherence Tomography Assessed With a Custom Review Tool and Updated, Histology-Derived Nomenclature

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A Comprehensive Survey of Data Augmentation in Visual Reinforcement Learning

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The Application and Development of Deep Learning in Radiotherapy: A Systematic Review

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Assessment of data mining, multi-criteria decision making and fuzzy-computing techniques for spatial flood susceptibility mapping: a comparative study

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Methodological Issues in Evaluating Machine Learning Models for EEG Seizure Prediction: Good Cross-Validation Accuracy Does Not Guarantee Generalization to New Patients

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Predicting patient demographics from chest Radiographs with deep learning

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Machine Learning for Automated Classification of Abnormal Lung Sounds Obtained from Public Databases: A Systematic Review

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Possible opportunities and challenges for traditional Chinese medicine research in 2035

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Exploring the Ethical Implications of Using Generative AI Tools in Higher Education

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Overlooked and underpowered: a meta-research addressing sample size in radiomics prediction models for binary outcomes

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AI4AD: Artificial intelligence analysis for Alzheimer's disease classification based on a multisite DTI database

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Performance Estimation of Machine Learning Algorithms in the Factor Analysis of COVID-19 Dataset

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Role of artificial intelligence in defibrillators: a narrative review

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Deep Learning Using Preoperative AS-OCT Predicts Graft Detachment in DMEK

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Performance investigation of osmotically assisted reverse osmosis using explainable machine learning models: A comparative study

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Classification of breast cancer histology images using MSMV-PFENet

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Data-driven prediction of critical flutter velocity of long-span suspension bridges using a probabilistic machine learning approach

Tinmitondé, S., He, X., Yan, L., & Hounye, A. H. (2023) · Computers & Structures · doi:10.1016/j.compstruc.2023.107002 · Cited by 25 · see citing works

Application of artificial intelligence technologies and big data computing for nuclear power plants control: a review

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Deep Learning in the Management of Intracranial Aneurysms and Cerebrovascular Diseases: A Review of the Current Literature

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Dynamic risk assessment of emergency evacuation in large public buildings: A case study

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Explainable Image Captioning to Identify Ergonomic Problems and Solutions for Construction Workers

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A novel one‐dimensional convolutional neural network architecture for chemical process fault diagnosis

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The role of artificial intelligence in paediatric neuroradiology

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Dataset: Traffic Images Captured from UAVs for Use in Training Machine Vision Algorithms for Traffic Management

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Real-world testing of an artificial intelligence algorithm for the analysis of chest x-rays in primary care settings

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An early sepsis prediction model utilizing machine learning and unbalanced data processing in a clinical context

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Artificial Intelligence in Cardiology: An Australian Perspective

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A call to action: concerns related to artificial intelligence

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Estimation of Impacts of Global Factors on World Food Prices: A Comparison of Machine Learning Algorithms and Time Series Econometric Models

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Machine learning and network medicine: a novel approach for precision medicine and personalized therapy in cardiomyopathies

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A hybrid forecasting model with logistic regression and neural networks for improving key performance indicators in supply chains

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Predictive modelling of cooling consumption in nursing homes using artificial neural networks: Implications for energy efficiency and thermal comfort

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An Overview of Artificial Intelligence Applications in Liver and Pancreatic Imaging

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Emerging uses of artificial intelligence in breast and axillary ultrasound

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Using machine learning and data enrichment in the selection of roads for small-scale maps

Karsznia, I., Adolf, A., Leyk, S., & Weibel, R. (2023) · Cartography and Geographic Information Science · doi:10.1080/15230406.2023.2283075 · Cited by 18 · see citing works

The application of artificial intelligence to support biliary atresia screening by ultrasound images: A study based on deep learning models

Hsu, F.-R., Dai, S.-T., Chou, C., & Huang, S.-Y. (2022) · PLoS ONE · doi:10.1371/journal.pone.0276278 · Cited by 17 · see citing works

Artificial Intelligence for Automated Implant Identification in Knee Arthroplasty: A Multicenter External Validation Study Exceeding 3.5 Million Plain Radiographs

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Current Applications of Artificial Intelligence in Sarcoidosis

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An Integrative Theoretical Framework for Responsible Artificial Intelligence

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AI-Driven Image Analysis in Central Nervous System Tumors-Traditional Machine Learning, Deep Learning and Hybrid Models

Krauze, A. V., Zhuge, Y., Zhao, R., Tasci, E., & Camphausen, K. A. (2022) · Journal of Biotechnology and Biomedicine · doi:10.26502/jbb.2642-91280046 · Cited by 17 · see citing works

Efficacy of Artificial Intelligence in the Categorisation of Paediatric Pneumonia on Chest Radiographs: A Systematic Review

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Can Artificial Intelligence Enhance Syncope Management?

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Comparative analysis of deep learning algorithms for dental caries detection and prediction from radiographic images: a comprehensive umbrella review

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Artificial intelligence in healthcare—the road to precision medicine

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Detection of the pathological exposure of pulp using an artificial intelligence tool: a multicentric study over periapical radiographs

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Customized convolutional neural network to detect dental caries from radio visio graphy(RVG) images

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Machine learning-based monosaccharide profiling for tissue-specific classification of Wolfiporia extensa samples

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Autonomous dental treatment planning on panoramic x-ray using deep learning based object detection algorithm

Ranjbar, F. R., & Zamanifar, A. (2023) · Multimedia Tools and Applications · doi:10.1007/s11042-023-17048-4 · Cited by 14 · see citing works

Improving EEG-based decoding of the locus of auditory attention through domain adaptation *

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The potential of artificial intelligence to revolutionize health care delivery, research, and education in cardiac electrophysiology

Al‐Khatib, S. M., Singh, J. P., Ghanbari, H., McManus, D. D., Deering, T. F., Silva, J. N. A., Mittal, S., Krahn, A. D., & Hurwitz, J. L. (2024) · Heart Rhythm · doi:10.1016/j.hrthm.2024.04.053 · Cited by 14 · see citing works

Machine Learning-Driven GLCM Analysis of Structural MRI for Alzheimer’s Disease Diagnosis

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Splitting and Length of Years for Improving Tree-Based Models to Predict Reference Crop Evapotranspiration in the Humid Regions of China

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Prediction of planarization property in copper film chemical mechanical polishing via response surface methodology and convolutional neural network

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Application of a Deep Learning Neural Network for Voiding Dysfunction Diagnosis Using a Vibration Sensor

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Enhancing Risk Stratification on Coronary Computed Tomography Angiography: The Role of Artificial Intelligence

Jaltotage, B., Sukudom, S., Ihdayhid, A. R., & Dwivedi, G. (2023) · Clinical Therapeutics · doi:10.1016/j.clinthera.2023.09.019 · Cited by 13 · see citing works

A 3D multi-scale CycleGAN framework for generating synthetic PETs from MRIs for Alzheimer's disease diagnosis

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Beyond Multiple-Choice Accuracy: Real-World Challenges of Implementing Large Language Models in Healthcare

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Tutorial: Artificial neural networks to analyze single-case experimental designs.

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Artificial intelligence in clinical imaging: An introduction

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Artificial intelligence and neural networks in radiology – Basics that all radiology residents should know

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AI for Radiology: A Primer Part I. From Idea to Algorithm

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Intelligence artificielle en pratique radiologique : entre rêve et réalité

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Introduction to Radiomics and Artificial Intelligence: A Primer for Radiologists

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