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Deep learning and artificial intelligence in radiology: Current applications and future directions

https://doi.org/10.1371/journal.pmed.1002707

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What this work says

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inferred← citeshttps://doi.org/10.1146/annurev-pharmtox-040323-040828openalex-snapshot

Artificial Intelligence for Drug Discovery: Are We There Yet?

inferred← citeshttps://doi.org/10.1146/annurev-statistics-040120-030919openalex-snapshot

Interpretable Machine Learning for Discovery: Statistical Challenges and Opportunities

inferred← citeshttps://doi.org/10.1148/radiol.212386openalex-snapshot

Machine Learning for Hepatocellular Carcinoma Segmentation at MRI:RadiologyIn Training

inferred← citeshttps://doi.org/10.1155/2022/2209070openalex-snapshot

Comparison of Clinical Efficacy of Sodium Nitroprusside and Urapidil in the Treatment of Acute Hypertensive Cerebral Hemorrhage

inferred← citeshttps://doi.org/10.1155/2023/6777759openalex-snapshot

Evaluation of a High-Accuracy Indoor-Positioning System with Wi-Fi Time of Flight (ToF) and Deep Learning

inferred← citeshttps://doi.org/10.1158/1078-0432.22480284openalex-snapshot

Supplementary Protocol from Deep Learning for Fully Automated Prediction of Overall Survival in Patients with Oropharyngeal Cancer Using FDG-PET Imaging

inferred← citeshttps://doi.org/10.1158/1078-0432.22480284.v1openalex-snapshot

Supplementary Protocol from Deep Learning for Fully Automated Prediction of Overall Survival in Patients with Oropharyngeal Cancer Using FDG-PET Imaging

inferred← citeshttps://doi.org/10.11648/j.sdh.20260102.11openalex-snapshot

Artificial Intelligence in Radiology: A Survey on Transforming Diagnostic Accuracy and Clinical Decision-Making

inferred← citeshttps://doi.org/10.1177/08465371241228468openalex-snapshot

Deep-Learning Reconstruction of High-Resolution CT Improves Interobserver Agreement for the Evaluation of Pulmonary Fibrosis

inferred← citeshttps://doi.org/10.1177/21925682211035363openalex-snapshot

Current Applications of Machine Learning in Spine: From Clinical View

inferred← citeshttps://doi.org/10.1186/s12874-025-02694-zopenalex-snapshot

Comparison of machine learning methods versus traditional Cox regression for survival prediction in cancer using real-world data: a systematic literature review and meta-analysis

inferred← citeshttps://doi.org/10.1186/s12879-022-07617-7openalex-snapshot

Automated diagnosis and prognosis of COVID-19 pneumonia from initial ER chest X-rays using deep learning

inferred← citeshttps://doi.org/10.1186/s12880-023-01160-wopenalex-snapshot

MedFusionGAN: multimodal medical image fusion using an unsupervised deep generative adversarial network

inferred← citeshttps://doi.org/10.1186/s12911-021-01533-7openalex-snapshot

A systematic review of natural language processing applied to radiology reports

inferred← citeshttps://doi.org/10.1186/s12911-025-03298-9openalex-snapshot

Human-centered AI in healthcare: empowering patients and support persons in clinical decision-making

inferred← citeshttps://doi.org/10.1186/s43162-026-00719-7openalex-snapshot

Hepatic disorders: current insights, therapeutic challenges, and the role of hepatoprotective flora from North Maharashtra

inferred← citeshttps://doi.org/10.1227/neu.0000000000001838openalex-snapshot

Prediction of Shunt Responsiveness in Suspected Patients With Normal Pressure Hydrocephalus Using the Lumbar Infusion Test: A Machine Learning Approach

inferred← citeshttps://doi.org/10.13005/bbra/3343openalex-snapshot

Exploring the Frontiers of Machine Learning in Radiology: A Comprehensive Review of Applications, Advancements, and the Challenges that Lie Ahead

inferred← citeshttps://doi.org/10.1371/journal.pone.0239172openalex-snapshot

Machine learning in predicting respiratory failure in patients with COVID-19 pneumonia—Challenges, strengths, and opportunities in a global health emergency

inferred← citeshttps://doi.org/10.1371/journal.pone.0285668openalex-snapshot

Mitigating carbon footprint for knowledge distillation based deep learning model compression

inferred← citeshttps://doi.org/10.1371/journal.pone.0289808openalex-snapshot

Deep learning classification of shoulder fractures on plain radiographs of the humerus, scapula and clavicle

inferred← citeshttps://doi.org/10.15690/vramn2053openalex-snapshot

Modern Radiation Diagnostics and Intelligent Personalized Technologies in Hepatopancreatology

inferred← citeshttps://doi.org/10.1681/asn.2021030404openalex-snapshot

Automated Segmentation of Kidney Cortex and Medulla in CT Images: A Multisite Evaluation Study

inferred← citeshttps://doi.org/10.1922/pjs.16.6s.2026.915openalex-snapshot

Artificial Intelligence in Diagnostic Radiology: Current Applications, Clinical Impact, and Future Perspectives

inferred← citeshttps://doi.org/10.20944/preprints202202.0338.v1openalex-snapshot

The Use of Artificial Intelligence and Deep Learning in Medical Imaging: A Nationwide Survey of Trainees in Saudi Arabia

inferred← citeshttps://doi.org/10.20944/preprints202202.0338.v2openalex-snapshot

The Use of Artificial Intelligence and Deep Learning in Medical Imaging: A Nationwide Survey of Trainees in Saudi Arabia

inferred← citeshttps://doi.org/10.21037/tcr-22-1755openalex-snapshot

A multidimensional model incorporating radiomics score and liquid biopsy for the prediction of malignant and benign pulmonary nodules

inferred← citeshttps://doi.org/10.21203/rs.3.rs-4873462/v1openalex-snapshot

Development of prediction models and predictors analysis for axial neck pain in patients undergoing cervical laminoplasty based on machine learning

inferred← citeshttps://doi.org/10.21203/rs.3.rs-7077778/v1openalex-snapshot

Diagnostic Performance of an Artificial Intelligence Model for Detecting Pediatric Elbow Injuries on Radiographs: A Preliminary Study

inferred← citeshttps://doi.org/10.2139/ssrn.5234309openalex-snapshot

Dafed: Domain-Aware Federated Learning with Latent Distribution Alignment for Cross-Center Generalization

inferred← citeshttps://doi.org/10.2174/0115734056363158250429101521openalex-snapshot

Deep Learning for Automated Prediction of Sphenoid Sinus Pneumatization in Computed Tomography

inferred← citeshttps://doi.org/10.2174/0115748936418250251104114256openalex-snapshot

A Hybrid Quantum-Enhanced Sandwich Convolutional Neural Network for Medical Image Classification

inferred← citeshttps://doi.org/10.2174/1874120702115010071openalex-snapshot

Empirical Analysis of Deep Convolutional Generative Adversarial Network for Ultrasound Image Synthesis

inferred← citeshttps://doi.org/10.21817/indjcse/2021/v12i4/211204207openalex-snapshot

ADAPTIVE DATA AUGMENTATION TRAINING BASED ATTENTION REGULARIZED DENSENET FOR DIAGNOSIS OF THORACIC DISEASES

inferred← citeshttps://doi.org/10.21817/indjcse/2022/v13i3/221303182openalex-snapshot

KNOWLEDGE DISCOVERY IN DATA OF PROSTATE CANCER BY APPLYING ENSEMBLE LEARNING

inferred← citeshttps://doi.org/10.21833/ijaas.2022.01.018openalex-snapshot

Acceptance of artificial intelligence (AI) and machine learning (ML) among radiologists in Saudi Arabia

inferred← citeshttps://doi.org/10.21857/y26kec3o79openalex-snapshot

Artificial intelligence in radiology

inferred← citeshttps://doi.org/10.2196/17707openalex-snapshot

Artificial Intelligence and Health Technology Assessment: Anticipating a New Level of Complexity

inferred← citeshttps://doi.org/10.2196/50934openalex-snapshot

Framework for Classifying Explainable Artificial Intelligence (XAI) Algorithms in Clinical Medicine

inferred← citeshttps://doi.org/10.2196/66622openalex-snapshot

Effectiveness of AI for Enhancing Computed Tomography Image Quality and Radiation Protection in Radiology: Systematic Review and Meta-Analysis

inferred← citeshttps://doi.org/10.2329/perio.63.119openalex-snapshot

Development of an artificial intelligence model using an automatic detection of furcation involvement through panoramic radiography

inferred← citeshttps://doi.org/10.24018/ejece.2023.7.4.548openalex-snapshot

Improving the Accuracy and Performance of Deep Learning Model by Applying Hybrid Grey Wolf Whale Optimizer to P&C Insurance Data

inferred← citeshttps://doi.org/10.2478/raon-2020-0068openalex-snapshot

Artificial intelligence in musculoskeletal oncological radiology

inferred← citeshttps://doi.org/10.24875/jmexfri.m24000073openalex-snapshot

Artificial intelligence in radiology

inferred← citeshttps://doi.org/10.25259/ijdvl_518_19openalex-snapshot

Artificial intelligence in dermatology and healthcare: An overview

inferred← citeshttps://doi.org/10.29304/jqcm.2022.14.3.1023openalex-snapshot

Modern Drowsiness Detection in Deep Learning: A review

inferred← citeshttps://doi.org/10.31080/asds.2022.06.1298openalex-snapshot

https://actascientific.com/ASDS/pdf/ASDS-06-1298.pdf

inferred← citeshttps://doi.org/10.31435/ijitss.2(50).2026.5250openalex-snapshot

ARTIFICIAL INTELLIGENCE IN HEALTHCARE: DIAGNOSTIC SUPPORT AND ADMINISTRATIVE AUTOMATION

inferred← citeshttps://doi.org/10.3174/ajnr.a7500openalex-snapshot

Labeling Noncontrast Head CT Reports for Common Findings Using Natural Language Processing

inferred← citeshttps://doi.org/10.3233/thc-213096openalex-snapshot

Mathematical and deep learning analysis based on tissue dielectric properties at low frequencies predict outcome in human breast cancer

inferred← citeshttps://doi.org/10.3349/ymj.2024.0293openalex-snapshot

Deep Learning-Based Prediction System for Surgical Difficulty in Rectal Cancer Patients Using MRI Pelvimetry

inferred← citeshttps://doi.org/10.3389/fnins.2022.906290openalex-snapshot

Explainable AI: A review of applications to neuroimaging data

inferred← citeshttps://doi.org/10.3389/fonc.2024.1298516openalex-snapshot

A semi-automatic deep learning model based on biparametric MRI scanning strategy to predict bone metastases in newly diagnosed prostate cancer patients

inferred← citeshttps://doi.org/10.3389/fsurg.2022.885599openalex-snapshot

The application of artificial intelligence in spine surgery

inferred← citeshttps://doi.org/10.3389/fvets.2021.611556openalex-snapshot

Diagnostic Accuracy of Delayed Phase Post Contrast Computed Tomographic Images in the Diagnosis of Focal Liver Lesions in Dogs: 69 Cases

inferred← citeshttps://doi.org/10.3390/app16115337openalex-snapshot

Artificial Intelligence in Radiology—Insights from a Sample of Italian Radiographers’ Perspectives

inferred← citeshttps://doi.org/10.3390/diagnostics10060430openalex-snapshot

Development of a Deep Learning Algorithm for Periapical Disease Detection in Dental Radiographs

inferred← citeshttps://doi.org/10.3390/diagnostics11112131openalex-snapshot

Automated Screening for Abdominal Aortic Aneurysm in CT Scans under Clinical Conditions Using Deep Learning

inferred← citeshttps://doi.org/10.3390/diagnostics15010031openalex-snapshot

Diagnostic Challenges in Uncommon Firearm Injury Cases: A Multidisciplinary Approach

inferred← citeshttps://doi.org/10.3390/healthcare12070706openalex-snapshot

Doctor’s Orders—Why Radiologists Should Consider Adjusting Commercial Machine Learning Applications in Chest Radiography to Fit Their Specific Needs

inferred← citeshttps://doi.org/10.3390/ijerph17165993openalex-snapshot

Using Deep Learning with Convolutional Neural Network Approach to Identify the Invasion Depth of Endometrial Cancer in Myometrium Using MR Images: A Pilot Study

inferred← citeshttps://doi.org/10.3390/jpm12030417openalex-snapshot

Deep Multi-Objective Learning from Low-Dose CT for Automatic Lung-RADS Report Generation

inferred← citeshttps://doi.org/10.3390/nu13020322openalex-snapshot

Artificial Intelligence in Nutrients Science Research: A Review

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