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The Current and Future State of AI Interpretation of Medical Images

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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The vanishing radiologist—an unseen danger, and a danger of being unseen

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Noninterpretive Uses of Artificial Intelligence in Radiology

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Prediction of Coronary Artery Calcium Using Deep Learning of Echocardiograms

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Current Clinical Applications of Artificial Intelligence in Radiology and Their Best Supporting Evidence

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2020 ACR Data Science Institute Artificial Intelligence Survey

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Machine Learning Model Drift: Predicting Diagnostic Imaging Follow-Up as a Case Example

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Foundational Considerations for Artificial Intelligence Using Ophthalmic Images

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Artificial intelligence and the future of global health

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Effect of a comprehensive deep-learning model on the accuracy of chest x-ray interpretation by radiologists: a retrospective, multireader multicase study

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Deep learning

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Causality matters in medical imaging

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Foundation models for generalist medical artificial intelligence

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Human–computer collaboration for skin cancer recognition

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Underdiagnosis bias of artificial intelligence algorithms applied to chest radiographs in under-served patient populations

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MIMIC-CXR, a de-identified publicly available database of chest radiographs with free-text reports

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VinDr-CXR: An open dataset of chest X-rays with radiologist’s annotations

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From Idea to Publication: A Step-by-Step Guide to Original Research in Radiology with AI-Integrated Workflow

inferred← citeshttps://doi.org/10.1016/j.adaj.2026.06.003openalex-snapshot

Clinical decision support in dentistry

inferred← citeshttps://doi.org/10.1016/j.ajem.2024.04.024openalex-snapshot

How artificial intelligence could transform emergency care

inferred← citeshttps://doi.org/10.1016/j.anclin.2025.05.010openalex-snapshot

The Role of Artificial Intelligence in Surgery

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Artificial Intelligence in Anesthesiology Education

inferred← citeshttps://doi.org/10.1016/j.annonc.2026.02.004openalex-snapshot

Artificial intelligence in oncology: from tools to teammates

inferred← citeshttps://doi.org/10.1016/j.annonc.2026.04.009openalex-snapshot

Colorectal cancer detection using noncontrast CT and deep learning: a multicenter and international cohort study

inferred← citeshttps://doi.org/10.1016/j.arcmed.2023.102858openalex-snapshot

Reply to: ChatGPT and Artificial Intelligence in the Contemporary Medical Landscape: Commentary

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Rapport 26-01. Apport de l’intelligence artificielle en imagerie médicale

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Applications of deep learning in trauma radiology: A narrative review

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MSCG-Net: A multi-scale cross-guidance neural network with generalizability for physiological signal analysis

inferred← citeshttps://doi.org/10.1016/j.cardfail.2025.02.020openalex-snapshot

Artificial Intelligence in the Management of Heart Failure

inferred← citeshttps://doi.org/10.1016/j.chb.2026.109163openalex-snapshot

Are explainable AI (XAI) evaluation strategies aligned? Comparing subjective, objective, and mathematical evaluation measures using saliency maps

inferred← citeshttps://doi.org/10.1016/j.chest.2024.02.011openalex-snapshot

Automated Real-Time Detection of Lung Sliding Using Artificial Intelligence

inferred← citeshttps://doi.org/10.1016/j.cjca.2024.05.025openalex-snapshot

A Responsible Framework for Applying Artificial Intelligence on Medical Images and Signals at the Point of Care: The PACS-AI Platform

inferred← citeshttps://doi.org/10.1016/j.cjca.2024.06.014openalex-snapshot

Exploring the Integration of Artificial Intelligence in Cardiovascular Medical Education: Unveiling Opportunities and Advancements

inferred← citeshttps://doi.org/10.1016/j.clinimag.2026.110841openalex-snapshot

Vision–language models as an integrative layer for clinical artificial intelligence in radiology: A systems-level perspective

inferred← citeshttps://doi.org/10.1016/j.cmpb.2025.108810openalex-snapshot

Causal insights from clinical information in radiology: Enhancing future multimodal AI development

inferred← citeshttps://doi.org/10.1016/j.cmpb.2025.108987openalex-snapshot

Prediction of breast cancer HER2 status changes based on ultrasound radiomics attention network

inferred← citeshttps://doi.org/10.1016/j.cmpb.2025.109125openalex-snapshot

Dual adversarial attacks on Explainable Deep Learning in medical image classification

inferred← citeshttps://doi.org/10.1016/j.cmpbup.2024.100157openalex-snapshot

Precision medicine: Beyond AI

inferred← citeshttps://doi.org/10.1016/j.combustflame.2025.114529openalex-snapshot

CH3 photo-fragmentation laser-induced fluorescence for turbulent flame diagnosis

inferred← citeshttps://doi.org/10.1016/j.compbiomed.2024.108258openalex-snapshot

The path from task-specific to general purpose artificial intelligence for medical diagnostics: A bibliometric analysis

inferred← citeshttps://doi.org/10.1016/j.compbiomed.2024.109001openalex-snapshot

A knowledge-based decision support system to support family doctors in personalizing type-2 diabetes mellitus medical nutrition therapy

inferred← citeshttps://doi.org/10.1016/j.compmedimag.2024.102472openalex-snapshot

Computer-assisted diagnosis for axillary lymph node metastasis of early breast cancer based on transformer with dual-modal adaptive mid-term fusion using ultrasound elastography

inferred← citeshttps://doi.org/10.1016/j.datak.2026.102656openalex-snapshot

DEEPGRAG: Augmenting LLMs with knowledge graphs via GraphRAG and Chain-of-Thought for domain-specific QA

inferred← citeshttps://doi.org/10.1016/j.drudis.2025.104399openalex-snapshot

MRI-mediated intelligent multimodal imaging system: from artificial intelligence to clinical imaging diagnosis

inferred← citeshttps://doi.org/10.1016/j.ebiom.2025.105773openalex-snapshot

Automatic identification of Parkinsonism using clinical multi-contrast brain MRI: a large self-supervised vision foundation model strategy

inferred← citeshttps://doi.org/10.1016/j.echo.2024.04.017openalex-snapshot

Artificial Intelligence Assessment of Biological Age From Transthoracic Echocardiography: Discrepancies with Chronologic Age Predict Significant Excess Mortality

inferred← citeshttps://doi.org/10.1016/j.eclinm.2025.103551openalex-snapshot

AI-derived longitudinal and multi-dimensional CT classifier for non-small cell lung cancer to optimize neoadjuvant chemoimmunotherapy decision: a multicentre retrospective study

inferred← citeshttps://doi.org/10.1016/j.eclinm.2025.103552openalex-snapshot

Deep learning algorithms for identifying developmental dysplasia of the hip based on sonographic images: a retrospective, prospective, multicenter study in China

inferred← citeshttps://doi.org/10.1016/j.ejim.2026.107056openalex-snapshot

Artificial intelligence in diagnostics and medical decision making

inferred← citeshttps://doi.org/10.1016/j.ejrad.2024.111638openalex-snapshot

AI supported detection of cerebral multiple sclerosis lesions decreases radiologic reporting times

inferred← citeshttps://doi.org/10.1016/j.ejrad.2026.113165openalex-snapshot

Deep learning-based automated segmentation of neck abscesses on multiparametric MRI

inferred← citeshttps://doi.org/10.1016/j.ejrai.2025.100032openalex-snapshot

Radiology meets AI: Evolving trends in national vs. international conferences (2019–2024)

inferred← citeshttps://doi.org/10.1016/j.ejrai.2026.100073openalex-snapshot

Artificial intelligence in radiology workflow: A systematic review into protocol automation and clinical applications

inferred← citeshttps://doi.org/10.1016/j.ejrai.2026.100111openalex-snapshot

Vision-language foundation models for 3D neuroradiological interpretation: A systematic review

inferred← citeshttps://doi.org/10.1016/j.esmorw.2025.100120openalex-snapshot

Real-world radiology data for artificial intelligence-driven cancer support systems and biomarker development

inferred← citeshttps://doi.org/10.1016/j.eswa.2025.130569openalex-snapshot

Real-world readiness: Evaluating AI model performance in degraded photographic imaging for cancer detection

inferred← citeshttps://doi.org/10.1016/j.giec.2025.05.009openalex-snapshot

Narrow Band Imaging and Artificial Intelligence for Detection and Characterization of Barrett’s Esophagus Neoplasia

inferred← citeshttps://doi.org/10.1016/j.hcl.2025.08.007openalex-snapshot

A Review of Transformers in Medical Research and Health Care

inferred← citeshttps://doi.org/10.1016/j.hybadv.2024.100277openalex-snapshot

AI revolutionizing industries worldwide: A comprehensive overview of its diverse applications

inferred← citeshttps://doi.org/10.1016/j.identj.2026.109486openalex-snapshot

Artificial Intelligence-Driven Segmentation of Three Oral Diseases: Enabling Precision Diagnosis and Decision Support

inferred← citeshttps://doi.org/10.1016/j.ijcard.2024.132088openalex-snapshot

Machine learning approach for prediction of outcomes in anticoagulated patients with atrial fibrillation

inferred← citeshttps://doi.org/10.1016/j.ijmedinf.2025.106227openalex-snapshot

Vision-language models in diagnostic imaging: review of technical advances, clinical validation, and practical deployment

inferred← citeshttps://doi.org/10.1016/j.imavis.2024.105044openalex-snapshot

Deep learning with adaptive convolutions for classification of retinal diseases via optical coherence tomography

inferred← citeshttps://doi.org/10.1016/j.imed.2024.11.006openalex-snapshot

Consensus on the research and application of artificial intelligence in coronary computed tomography angiography

inferred← citeshttps://doi.org/10.1016/j.imu.2024.101538openalex-snapshot

Perspectives of artificial intelligence in radiology in Jordan: CROSS-SECTIONAL study by radiologists and residents’ sides

inferred← citeshttps://doi.org/10.1016/j.inffus.2024.102412openalex-snapshot

Designing interpretable ML system to enhance trust in healthcare: A systematic review to proposed responsible clinician-AI-collaboration framework

inferred← citeshttps://doi.org/10.1016/j.inffus.2026.104483openalex-snapshot

Responsible AI in healthcare: Mitigating hallucinations and enhancing multimodal fusion - based reasoning in medical imaging

inferred← citeshttps://doi.org/10.1016/j.isci.2025.112987openalex-snapshot

Deep-learning based colorectal cancer pathological analysis with hyperspectral light field microscopy

inferred← citeshttps://doi.org/10.1016/j.jacc.2026.06.013openalex-snapshot

AI-ECG Detection of Structural Heart Disease in the Community Setting

inferred← citeshttps://doi.org/10.1016/j.jacr.2023.11.021openalex-snapshot

More Is Different: Large Language Models in Health Care

inferred← citeshttps://doi.org/10.1016/j.jacr.2025.07.004openalex-snapshot

Artificial Intelligence and Its Effect on Radiology Residency Education: Current Challenges, Opportunities, and Future Directions

inferred← citeshttps://doi.org/10.1016/j.jcmg.2024.02.012openalex-snapshot

The Integrative Sport of Cardiac Imaging and Clinical Cardiology

inferred← citeshttps://doi.org/10.1016/j.jcmg.2025.01.001openalex-snapshot

Imaging Topic of the Year

inferred← citeshttps://doi.org/10.1016/j.jcmg.2025.08.004openalex-snapshot

PRIME 2.0: Proposed Requirements for Cardiovascular Imaging-Related Multimodal-AI Evaluation

inferred← citeshttps://doi.org/10.1016/j.jfma.2026.02.006openalex-snapshot

Comment on “Application of deep learning reconstruction in abdominal magnetic resonance cholangiopancreatography for image quality improvement and acquisition time reduction”

inferred← citeshttps://doi.org/10.1016/j.jhep.2025.01.011openalex-snapshot

Contrast-enhanced ultrasound-based AI model for multi-classification of focal liver lesions

inferred← citeshttps://doi.org/10.1016/j.jid.2024.03.028openalex-snapshot

Dermatologists’ Perspectives and Usage of Large Language Models in Practice: An Exploratory Survey

inferred← citeshttps://doi.org/10.1016/j.jmir.2025.102133openalex-snapshot

Quantitative evaluation of an artificial intelligence-assisted platform in CT acquisition workflow

inferred← citeshttps://doi.org/10.1016/j.jocmr.2024.101082openalex-snapshot

Improved robustness for deep learning-based segmentation of multi-center myocardial perfusion cardiovascular MRI datasets using data-adaptive uncertainty–guided space-time analysis

inferred← citeshttps://doi.org/10.1016/j.jstrokecerebrovasdis.2024.107750openalex-snapshot

Multicenter comparison using two AI stroke CT perfusion software packages for determining thrombectomy eligibility

inferred← citeshttps://doi.org/10.1016/j.labinv.2023.100255openalex-snapshot

Revolutionizing Digital Pathology With the Power of Generative Artificial Intelligence and Foundation Models

inferred← citeshttps://doi.org/10.1016/j.mam.2026.101461openalex-snapshot

Metabolic dysregulation: Its role in diabetes mellitus and cancers

inferred← citeshttps://doi.org/10.1016/j.mcna.2025.07.011openalex-snapshot

Artificial Intelligence and Machine Learning in Health Care

inferred← citeshttps://doi.org/10.1016/j.mcpdig.2026.100355openalex-snapshot

Artificial Intelligence–Enhanced Cardiac Point-of-Care Ultrasound: A Prospective Single-Arm Study

inferred← citeshttps://doi.org/10.1016/j.media.2025.103646openalex-snapshot

End-to-end breast cancer radiotherapy planning via LMMs with consistency embedding

inferred← citeshttps://doi.org/10.1016/j.media.2025.103910openalex-snapshot

Reason like a radiologist: Chain-of-thought and reinforcement learning for verifiable report generation

inferred← citeshttps://doi.org/10.1016/j.medp.2024.100030openalex-snapshot

Large language models illuminate a progressive pathway to artificial intelligent healthcare assistant

inferred← citeshttps://doi.org/10.1016/j.modpat.2023.100369openalex-snapshot

Generative Adversarial Networks in Digital Histopathology: Current Applications, Limitations, Ethical Considerations, and Future Directions

inferred← citeshttps://doi.org/10.1016/j.ncl.2024.08.003openalex-snapshot

Advancing Neurocritical Care with Artificial Intelligence and Machine Learning

inferred← citeshttps://doi.org/10.1016/j.patcog.2026.113322openalex-snapshot

Enhancing Radiography-Report foundation model via Multi-View masked contrastive learning

inferred← citeshttps://doi.org/10.1016/j.patter.2023.100802openalex-snapshot

Evaluating progress in automatic chest X-ray radiology report generation

inferred← citeshttps://doi.org/10.1016/j.rce.2024.01.007openalex-snapshot

Ética e inteligencia artificial

inferred← citeshttps://doi.org/10.1016/j.rceng.2024.02.003openalex-snapshot

Ethics and artificial intelligence

inferred← citeshttps://doi.org/10.1016/j.rcl.2026.08.001openalex-snapshot

Artificial Intelligence in Pediatric Emergency Radiology

inferred← citeshttps://doi.org/10.1016/j.rcreu.2026.504872openalex-snapshot

From traditional to digital: Artificial intelligence, transforming ultrasound in rheumatology

inferred← citeshttps://doi.org/10.1016/j.rcreue.2026.504872openalex-snapshot

From traditional to digital: Artificial intelligence, transforming ultrasound in rheumatology

inferred← citeshttps://doi.org/10.1016/j.resuscitation.2023.109947openalex-snapshot

On the path to artificial intelligence analysis of brain CT after cardiac arrest

inferred← citeshttps://doi.org/10.1016/j.rx.2026.501906openalex-snapshot

Percepción del impacto de la Inteligencia Artificial en la Radiología entre estudiantes de Medicina, médicos jóvenes y especialistas en España: estudio transversal basado en una encuesta

inferred← citeshttps://doi.org/10.1016/j.scib.2025.04.048openalex-snapshot

Exploring morphological heterogeneity of circulating tumor cells: machine learning-based approach for cell identification and prognostic implications

inferred← citeshttps://doi.org/10.1016/j.semcancer.2023.07.002openalex-snapshot

Enhancing head and neck tumor management with artificial intelligence: Integration and perspectives

inferred← citeshttps://doi.org/10.1016/j.semss.2026.101256openalex-snapshot

Solving the challenges of radiographic measurement of spinopelvic parameters: Is AI the answer?

inferred← citeshttps://doi.org/10.1016/j.sipas.2025.100317openalex-snapshot

Artificial intelligence in thoracic surgery: Perspectives and challenges

inferred← citeshttps://doi.org/10.1016/j.ssci.2026.107210openalex-snapshot

Resilience Engineering concepts, Safety-II language, FRAM practice, and co-creating communities: how Hollnagel reshaped patient safety

inferred← citeshttps://doi.org/10.1016/j.swevo.2025.101859openalex-snapshot

Enhancing healthcare resource allocation through large language models

inferred← citeshttps://doi.org/10.1016/j.ucl.2023.07.002openalex-snapshot

Bladder Cancer and Artificial Intelligence

inferred← citeshttps://doi.org/10.1016/j.ultrasmedbio.2026.03.010openalex-snapshot

Large Language Models for the Differentiation of Benign and Malignant Liver Nodules based on Multimodal Prompts in Liver US Cases

inferred← citeshttps://doi.org/10.1016/j.vaccine.2024.126370openalex-snapshot

Validation of a deep learning model for classification of pediatric pneumonia in Hong Kong

inferred← citeshttps://doi.org/10.1016/j.wneu.2026.125023openalex-snapshot

Generalist Large-Language Models for Spine Imaging Diagnostics: An Early Analysis of Detection Performance for Scoliosis and Lumbar Stenosis

inferred← citeshttps://doi.org/10.1016/j.xcrm.2023.101207openalex-snapshot

AI-clinician collaboration via disagreement prediction: A decision pipeline and retrospective analysis of real-world radiologist-AI interactions

inferred← citeshttps://doi.org/10.1016/j.xcrm.2024.101848openalex-snapshot

Interpretable multi-modal artificial intelligence model for predicting gastric cancer response to neoadjuvant chemotherapy

inferred← citeshttps://doi.org/10.1016/j.xcrm.2024.101875openalex-snapshot

Foundation model of ECG diagnosis: Diagnostics and explanations of any form and rhythm on ECG

inferred← citeshttps://doi.org/10.1016/j.xcrm.2026.103020openalex-snapshot

Transforming large language models into medical specialists via knowledge injection

inferred← citeshttps://doi.org/10.1016/j.yasa.2024.06.005openalex-snapshot

Artificial Intelligence in Diagnostic Imaging

inferred← citeshttps://doi.org/10.1016/s1470-2045(24)00395-4openalex-snapshot

Advances and challenges in precision imaging

inferred← citeshttps://doi.org/10.1016/s1470-2045(25)00463-2openalex-snapshot

The Lucerne Toolbox 3: digital health and artificial intelligence to optimise the patient journey in early breast cancer—a multidisciplinary consensus

inferred← citeshttps://doi.org/10.1016/s2213-8587(24)00153-0openalex-snapshot

The potential role for artificial intelligence in fracture risk prediction

inferred← citeshttps://doi.org/10.1016/s2589-7500(23)00222-4openalex-snapshot

The MAIDA initiative: establishing a framework for global medical-imaging data sharing

inferred← citeshttps://doi.org/10.1016/s2589-7500(24)00047-5openalex-snapshot

Randomised controlled trials evaluating artificial intelligence in clinical practice: a scoping review

inferred← citeshttps://doi.org/10.1017/s1471068426100441openalex-snapshot

Explaining Neural Networks in Preference Learning: A Post Hoc Inductive Logic Programming Approach

inferred← citeshttps://doi.org/10.1038/s41433-025-03708-2openalex-snapshot

Moving artificial intelligence development to deployment in ophthalmology: randomised controlled trials are warranted

inferred← citeshttps://doi.org/10.1038/s41467-024-51749-0openalex-snapshot

Enhancing representation in radiography-reports foundation model: a granular alignment algorithm using masked contrastive learning

inferred← citeshttps://doi.org/10.1038/s41467-025-57426-0openalex-snapshot

Towards a holistic framework for multimodal LLM in 3D brain CT radiology report generation

inferred← citeshttps://doi.org/10.1038/s41467-025-62713-xopenalex-snapshot

Deep learning prediction of noise-driven nonlinear instabilities in fibre optics

inferred← citeshttps://doi.org/10.1038/s41467-025-64459-yopenalex-snapshot

Addressing data heterogeneity in distributed medical imaging with heterosync learning

inferred← citeshttps://doi.org/10.1038/s41467-026-69212-7openalex-snapshot

An interpretable AI system reduces false-positive MRI diagnoses by stratifying high-risk breast lesions

inferred← citeshttps://doi.org/10.1038/s41551-023-01087-1openalex-snapshot

Squeezing more out from clinical imaging

inferred← citeshttps://doi.org/10.1038/s41551-026-01741-4openalex-snapshot

CLEAR: an auditable foundation model for radiology grounded in clinical concepts

inferred← citeshttps://doi.org/10.1038/s41591-023-02640-wopenalex-snapshot

Large-scale pancreatic cancer detection via non-contrast CT and deep learning

inferred← citeshttps://doi.org/10.1038/s41591-024-02850-wopenalex-snapshot

Heterogeneity and predictors of the effects of AI assistance on radiologists

inferred← citeshttps://doi.org/10.1038/s41591-024-03302-1openalex-snapshot

Collaboration between clinicians and vision–language models in radiology report generation

inferred← citeshttps://doi.org/10.1038/s41591-024-03328-5openalex-snapshot

An evaluation framework for clinical use of large language models in patient interaction tasks

inferred← citeshttps://doi.org/10.1038/s41598-024-58514-9openalex-snapshot

GPT-agents based on medical guidelines can improve the responsiveness and explainability of outcomes for traumatic brain injury rehabilitation

inferred← citeshttps://doi.org/10.1038/s41598-024-70780-1openalex-snapshot

Factors for increasing positive predictive value of pneumothorax detection on chest radiographs using artificial intelligence

inferred← citeshttps://doi.org/10.1038/s41598-025-04830-7openalex-snapshot

Inconsistency of AI in intracranial aneurysm detection with varying dose and image reconstruction

inferred← citeshttps://doi.org/10.1038/s41598-025-18803-3openalex-snapshot

Classification of anterior cruciate ligament tears in knee magnetic resonance images using pre-trained model and custom model

inferred← citeshttps://doi.org/10.1038/s41598-025-32343-wopenalex-snapshot

Non-invasive anemia detection from conjunctiva and sclera images using vision transformer with attention map explainability

inferred← citeshttps://doi.org/10.1038/s41598-025-87829-4openalex-snapshot

Multilevel support-assisted prototype optimization network for few-shot medical segmentation of lung lesions

inferred← citeshttps://doi.org/10.1038/s41598-025-88982-6openalex-snapshot

Rib suppression-based radiomics for diagnosis of neonatal respiratory distress syndrome in chest X-rays

inferred← citeshttps://doi.org/10.1038/s41598-026-49133-7openalex-snapshot

Artificial intelligence for predicting transient hypocalcemia after total thyroidectomy

inferred← citeshttps://doi.org/10.1038/s41698-025-01180-5openalex-snapshot

Collaborative framework on responsible AI in LLM-driven CDSS for precision oncology leveraging real-world patient data

inferred← citeshttps://doi.org/10.1038/s41746-024-01012-zopenalex-snapshot

Diagnostic performance of artificial intelligence-assisted PET imaging for Parkinson’s disease: a systematic review and meta-analysis

inferred← citeshttps://doi.org/10.1038/s41746-024-01282-7openalex-snapshot

Medical large language models are susceptible to targeted misinformation attacks

inferred← citeshttps://doi.org/10.1038/s41746-024-01328-wopenalex-snapshot

Impact of human and artificial intelligence collaboration on workload reduction in medical image interpretation

inferred← citeshttps://doi.org/10.1038/s41746-024-01352-wopenalex-snapshot

Reimbursement in the age of generalist radiology artificial intelligence

inferred← citeshttps://doi.org/10.1038/s41746-025-01893-8openalex-snapshot

Specialized curricula for training vision language models in retinal image analysis

inferred← citeshttps://doi.org/10.1038/s41746-025-02301-xopenalex-snapshot

Multimodal brain network topology and enhanced computer-aided diagnosis in Parkinson’s Disease: a systematic review and meta-analysis

inferred← citeshttps://doi.org/10.1038/s41746-026-02497-6openalex-snapshot

RoentMod: a synthetic chest X-ray modification model to identify and correct image interpretation model shortcuts

inferred← citeshttps://doi.org/10.1038/s41746-026-02615-4openalex-snapshot

The portability paradox of foundation models for clinical decision support

showing the first 200 of 440

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