Surveys

Explainability in Graph Neural Networks: A Taxonomic Survey.

Deep learning methods are achieving ever-increasing performance on many artificial intelligence task...

Machine Learning Algorithms Can Be Reliably Leveraged to Identify Patients at High Risk of Prolonged Postoperative Opioid Use Following Orthopedic Surgery: A Systematic Review.

Machine learning (ML) has emerged as a method to determine patient-specific risk for prolonged post...

Multilayer outperforms single-layer slide scanning in AI-based classification of whole slide images with low-burden acid-fast mycobacteria (AFB).

Manual screening of Ziehl-Neelsen (ZN)-stained slides that are negative or contain rare acid-fast my...

Presidential address: improving item validity and adopting computer-based testing, clinical skills assessments, artificial intelligence, and virtual reality in health professions licensing examinations in Korea.

Quality assessment of traditional Chinese medicine based on data fusion combined with machine learning: A review.

The authenticity and quality of traditional Chinese medicine (TCM) directly impact clinical efficacy...

Boosting the Accuracy of Commercial Real Estate Appraisals: An Interpretable Machine Learning Approach.

In this article, we examine the accuracy and bias of market valuations in the U.S. commercial real e...

Detecting Common Sources of AI Bias: Questions to Ask When Procuring an AI Solution.

Health Information Technology Usability Evaluation Scale (Health-ITUES) and User-Experience Questionnaire (UEQ) for 3D Intraoperative Cognitive Navigation (ICON3D) System for Urological Procedures.

In recent years, the adoption of 3D models for surgical planning and intraoperative guidance has ga...

Classification of coma/brain-death EEG dataset based on one-dimensional convolutional neural network.

Electroencephalography (EEG) evaluation is an important step in the clinical diagnosis of brain deat...

Review of Natural Language Processing in Pharmacology.

Natural language processing (NLP) is an area of artificial intelligence that applies information tec...

Future of Artificial Intelligence Applications in Cancer Care: A Global Cross-Sectional Survey of Researchers.

Cancer significantly contributes to global mortality, with 9.3 million annual deaths. To alleviate t...

Machine learning models trained on synthetic datasets of multiple sample sizes for the use of predicting blood pressure from clinical data in a national dataset.

INTRODUCTION: The potential for synthetic data to act as a replacement for real data in research has...

Waste valorization as low-cost media engineering for auxin production from the newly isolated Streptomyces rubrogriseus AW22: Model development.

Indole-3-acetic acid (IAA) represents a crucial phytohormone regulating specific tropic responses in...

Evaluation of boundaries between mood and psychosis disorder using dynamic functional network connectivity (dFNC) via deep learning classification.

The validity and reliability of diagnoses in psychiatry is a challenging topic in mental health. The...

MedViT: A robust vision transformer for generalized medical image classification.

Convolutional Neural Networks (CNNs) have advanced existing medical systems for automatic disease di...

A survey of ASER members on artificial intelligence in emergency radiology: trends, perceptions, and expectations.

PURPOSE: There is a growing body of diagnostic performance studies for emergency radiology-related a...

Hospital-wide survey of clinical experience with artificial intelligence applied to daily chest radiographs.

PURPOSE: To assess experience with and perceptions of clinical application of artificial intelligenc...

Application of Deep Learning System Technology in Identification of Women's Breast Cancer.

: The classification of breast cancer is performed based on its histological subtypes using the degr...

Evaluation of Risk of Bias in Neuroimaging-Based Artificial Intelligence Models for Psychiatric Diagnosis: A Systematic Review.

IMPORTANCE: Neuroimaging-based artificial intelligence (AI) diagnostic models have proliferated in p...

Biases associated with database structure for COVID-19 detection in X-ray images.

Several artificial intelligence algorithms have been developed for COVID-19-related topics. One that...

A Comprehensive Survey on Federated Learning Techniques for Healthcare Informatics.

Healthcare is predominantly regarded as a crucial consideration in promoting the general physical an...