Citation Impact
Citing Papers
Secure, privacy-preserving and federated machine learning in medical imaging
2020 Standout
The state of artificial intelligence-based FDA-approved medical devices and algorithms: an online database
2020 Standout
A review of uncertainty quantification in deep learning: Techniques, applications and challenges
2021 Standout
Human–machine partnership with artificial intelligence for chest radiograph diagnosis
2019
A comparison of deep learning performance against health-care professionals in detecting diseases from medical imaging: a systematic review and meta-analysis
2019 Standout
Approval of artificial intelligence and machine learning-based medical devices in the USA and Europe (2015–20): a comparative analysis
2021 Standout
Diagnostic accuracy of deep learning in medical imaging: a systematic review and meta-analysis
2021 Standout
A mathematical-descriptor of tumor-mesoscopic-structure from computed-tomography images annotates prognostic- and molecular-phenotypes of epithelial ovarian cancer
2019
New frontiers in liver resection for hepatocellular carcinoma
2020
Text Data Augmentation for Deep Learning
2021 Standout
An algorithmic approach to reducing unexplained pain disparities in underserved populations
2021
Augmented Intelligence Dermatology: Deep Neural Networks Empower Medical Professionals in Diagnosing Skin Cancer and Predicting Treatment Options for 134 Skin Disorders
2020 Standout
Artificial intelligence in healthcare: transforming the practice of medicine
2021 Standout
Explainability for artificial intelligence in healthcare: a multidisciplinary perspective
2020 Standout
A guide to machine learning for biologists
2021
AI in health and medicine
2022 Standout
Locoregional therapies in the era of molecular and immune treatments for hepatocellular carcinoma
2021
Guidelines for clinical trial protocols for interventions involving artificial intelligence: the SPIRIT-AI Extension
2020
Hepatocellular carcinoma
2021 Standout
BCLC strategy for prognosis prediction and treatment recommendation: The 2022 update
2021 Standout
Large language models in medicine
2023 Standout
Big data and machine learning algorithms for health-care delivery
2019 Standout
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 Standout
Deep learning algorithms for rotating machinery intelligent diagnosis: An open source benchmark study
2020 Standout
On the Interpretability of Artificial Intelligence in Radiology: Challenges and Opportunities
2020
High-performance medicine: the convergence of human and artificial intelligence
2018 Standout
Preparing Medical Imaging Data for Machine Learning
2020 Standout
Multimodal biomedical AI
2022 Standout
Federated learning in medicine: facilitating multi-institutional collaborations without sharing patient data
2020 Standout
Designing deep learning studies in cancer diagnostics
2021
Performance of ChatGPT on USMLE: Potential for AI-assisted medical education using large language models
2023 Standout
Deep learning in histopathology: the path to the clinic
2021 Standout
How machine learning can help select capping layers to suppress perovskite degradation
2020 StandoutNobel
How far have we come? Artificial intelligence for chest radiograph interpretation
2019
Clinical Text Data in Machine Learning: Systematic Review
2020
Applications of machine learning to diagnosis and treatment of neurodegenerative diseases
2020
Revolutionizing healthcare: the role of artificial intelligence in clinical practice
2023 Standout
Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI Extension
2020
End-to-end design of wearable sensors
2022 Standout
Review of deep learning: concepts, CNN architectures, challenges, applications, future directions
2021 Standout
Uncertainty and interpretability in convolutional neural networks for semantic segmentation of colorectal polyps
2019
Artificial intelligence versus clinicians: systematic review of design, reporting standards, and claims of deep learning studies
2020 Standout
COVID-Net: a tailored deep convolutional neural network design for detection of COVID-19 cases from chest X-ray images
2020 Standout
Artificial intelligence in digital pathology — new tools for diagnosis and precision oncology
2019
The false hope of current approaches to explainable artificial intelligence in health care
2021 Standout
Hepatocellular carcinoma
2022 Standout
Key challenges for delivering clinical impact with artificial intelligence
2019 Standout
Glycoproteomics
2022 StandoutNobel
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 Standout
Ethics of Using and Sharing Clinical Imaging Data for Artificial Intelligence: A Proposed Framework
2020
ChatGPT: five priorities for research
2023 StandoutNature
A Survey on Explainable Artificial Intelligence (XAI): Toward Medical XAI
2020 Standout
Randomized Clinical Trials of Machine Learning Interventions in Health Care
2022
Machine Learning and Deep Learning in smart manufacturing: The Smart Grid paradigm
2021 Standout
Outlook on human-centric manufacturing towards Industry 5.0
2022 Standout
Machine Learning in Medicine
2019 Standout
Artificial intelligence for precision education in radiology
2019 Standout
Digital Reticular Chemistry
2020 StandoutNobel
Can AI Help in Screening Viral and COVID-19 Pneumonia?
2020 Standout
A study of artificial intelligence on employee performance and work engagement: the moderating role of change leadership
2022 Standout
Deep learning in medical image analysis: A third eye for doctors
2019
Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustworthy Artificial Intelligence
2023 Standout
AI for radiographic COVID-19 detection selects shortcuts over signal
2021
Machine Learning for Perovskites' Reap-Rest-Recovery Cycle
2018
Yttrium‐90 Radioembolization for the Treatment of Solitary, Unresectable HCC: The LEGACY Study
2021
A Clinician's Guide to Artificial Intelligence: How to Critically Appraise Machine Learning Studies
2020
Tackling the Radiological Society of North America Pneumonia Detection Challenge
2019
Definitions, methods, and applications in interpretable machine learning
2019 Standout
Counterfactuals and causability in explainable artificial intelligence: Theory, algorithms, and applications
2021
Design Characteristics of Studies Reporting the Performance of Artificial Intelligence Algorithms for Diagnostic Analysis of Medical Images: Results from Recently Published Papers
2019
Geographic Distribution of US Cohorts Used to Train Deep Learning Algorithms
2020
Works of J. Titano being referenced
Radiation Segmentectomy versus Selective Chemoembolization in the Treatment of Early-Stage Hepatocellular Carcinoma
2017
Feasibility and safety of liver transplantation or resection after transarterial radioembolization with Yttrium-90 for unresectable hepatocellular carcinoma
2019
Outcomes of Radioembolization in the Treatment of Hepatocellular Carcinoma with Portal Vein Invasion: Resin versus Glass Microspheres
2016
Variable generalization performance of a deep learning model to detect pneumonia in chest radiographs: A cross-sectional study
2018
Automated deep-neural-network surveillance of cranial images for acute neurologic events
2018
Radiation Segmentectomy versus TACE Combined with Microwave Ablation for Unresectable Solitary Hepatocellular Carcinoma Up to 3 cm: A Propensity Score Matching Study
2016
Natural Language–based Machine Learning Models for the Annotation of Clinical Radiology Reports
2018