ArticleRadiology. Artificial intelligence2022
Artificial Intelligence with Statistical Confidence Scores for Detection of Acute or Subacute Hemorrhage on Noncontrast CT Head Scans.
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Article in Radiology. Artificial intelligence, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.
0numbers the graph read from it
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15citing papers in PubMed, 2 pooled it
3.2field-weighted citation impact, top 7% of its field
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Who cites it
15 citing papers in PubMed, 2 syntheses or guidelines pooled it, 27 citations in OpenAlex.
- The use of machine learning models for subdural hematoma detection: a single-arm meta-analysis.Neurosurgical review · 2026Pooled it
- Systematic review on the impact of deep learning-driven worklist triage on radiology workflow and clinical outcomes.European radiology · 2025Pooled it
- Diagnostic performance and confidence of an optimized deep-learning algorithm for the detection of intracranial hemorrhages.Insights into imaging · 2026Article
- AI assistance improves radiology resident reader performance in CT diagnosis of intracranial hemorrhage.La Radiologia medica · 2026Article
- Transfer Learning for Automated Two-class Classification of Pulmonary Tuberculosis in Chest X-Ray Images.Current medicinal chemistry · 2026Article
- Transfer Learning for Automated Two-class Classification of Pulmonary Tuberculosis in Chest X-Ray Images.Current medicinal chemistry · 2026Article
- Diagnostic Accuracy of an Offline CNN Framework Utilizing Multi-View Chest X-Rays for Screening 14 Co-Occurring Communicable and Non-Communicable Diseases.Diagnostics (Basel, Switzerland) · 2025Article
- Artificial Intelligence in Stroke Care: A Narrative Review of Diagnostic, Predictive, and Workflow Applications.Cureus · 2025Review
- Prediction of functional outcomes in aneurysmal subarachnoid hemorrhage using pre-/postoperative noncontrast CT within 3 days of admission.NPJ digital medicine · 2025Article
- Diagnostic Accuracy of Deep Learning for Intracranial Hemorrhage Detection in Non-Contrast Brain CT Scans: A Systematic Review and Meta-Analysis.Journal of clinical medicine · 2025Review
- An Artificial Intelligence Algorithm Integrated into the Clinical Workflow Can Ensure High Quality Acute Intracranial Hemorrhage CT Diagnostic.Clinical neuroradiology · 2025Article
- Accuracy and time efficiency of a novel deep learning algorithm for Intracranial Hemorrhage detection in CT Scans.La Radiologia medica · 2024Article
- Clinical Impact of an AI Decision Support System for Detection of Intracranial Hemorrhage in CT Scans.Neurotrauma reports · 2024Article
- Diagnostic Accuracy and Performance Analysis of a Scanner-Integrated Artificial Intelligence Model for the Detection of Intracranial Hemorrhages in a Traumatology Emergency Department.Bioengineering (Basel, Switzerland) · 2023Article
- Improving Radiology Oncologic Imaging Trainee Case Diversity through Automatic Examination Assignment: Retrospective Study from a Tertiary Cancer Center.Radiology. Imaging cancer · 2023Article
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Authors and funding
19 authors at 1 institution in 3 countries.
Eli GibsonDepartment of Digital Technology and Innovation, Siemens Healthineers, 755 College Rd E, Princeton, NJ 08540 (E.G., B.G., P.C., P.H.T., Y.Y., J.D., T.J.R., D.C.); Department of Digital Technology and Innovation, Siemens Healthineers, Bangalore, India (V.R.S., A.B.); Department of Computed Tomography, Siemens Healthineers, Forchheim, Germany (E.E., A.C., B.B., T.F.); Department of Radiology, University of Maryland Medical Center, Baltimore, Md (U.K.B.); Department of Radiology, Vancouver General Hospital, Vancouver, Canada (S.N.); Department of Radiology, Northwell Health, New York, NY (P.C.S.); Department of Surgery, UCHealth Memorial Hospital, Colorado Springs, Colo (T.J.S.); and Department of Radiology, NYU Langone Health, New York University School of Medicine, New York, NY (Y.W.L.).ORCID https://orcid.org/0000-0001-9207-7280
Bogdan GeorgescuDepartment of Digital Technology and Innovation, Siemens Healthineers, 755 College Rd E, Princeton, NJ 08540 (E.G., B.G., P.C., P.H.T., Y.Y., J.D., T.J.R., D.C.); Department of Digital Technology and Innovation, Siemens Healthineers, Bangalore, India (V.R.S., A.B.); Department of Computed Tomography, Siemens Healthineers, Forchheim, Germany (E.E., A.C., B.B., T.F.); Department of Radiology, University of Maryland Medical Center, Baltimore, Md (U.K.B.); Department of Radiology, Vancouver General Hospital, Vancouver, Canada (S.N.); Department of Radiology, Northwell Health, New York, NY (P.C.S.); Department of Surgery, UCHealth Memorial Hospital, Colorado Springs, Colo (T.J.S.); and Department of Radiology, NYU Langone Health, New York University School of Medicine, New York, NY (Y.W.L.).ORCID https://orcid.org/0000-0001-5388-5699
Pascal CeccaldiDepartment of Digital Technology and Innovation, Siemens Healthineers, 755 College Rd E, Princeton, NJ 08540 (E.G., B.G., P.C., P.H.T., Y.Y., J.D., T.J.R., D.C.); Department of Digital Technology and Innovation, Siemens Healthineers, Bangalore, India (V.R.S., A.B.); Department of Computed Tomography, Siemens Healthineers, Forchheim, Germany (E.E., A.C., B.B., T.F.); Department of Radiology, University of Maryland Medical Center, Baltimore, Md (U.K.B.); Department of Radiology, Vancouver General Hospital, Vancouver, Canada (S.N.); Department of Radiology, Northwell Health, New York, NY (P.C.S.); Department of Surgery, UCHealth Memorial Hospital, Colorado Springs, Colo (T.J.S.); and Department of Radiology, NYU Langone Health, New York University School of Medicine, New York, NY (Y.W.L.).ORCID https://orcid.org/0000-0001-9536-5990
Pierre-Hugo TriganDepartment of Digital Technology and Innovation, Siemens Healthineers, 755 College Rd E, Princeton, NJ 08540 (E.G., B.G., P.C., P.H.T., Y.Y., J.D., T.J.R., D.C.); Department of Digital Technology and Innovation, Siemens Healthineers, Bangalore, India (V.R.S., A.B.); Department of Computed Tomography, Siemens Healthineers, Forchheim, Germany (E.E., A.C., B.B., T.F.); Department of Radiology, University of Maryland Medical Center, Baltimore, Md (U.K.B.); Department of Radiology, Vancouver General Hospital, Vancouver, Canada (S.N.); Department of Radiology, Northwell Health, New York, NY (P.C.S.); Department of Surgery, UCHealth Memorial Hospital, Colorado Springs, Colo (T.J.S.); and Department of Radiology, NYU Langone Health, New York University School of Medicine, New York, NY (Y.W.L.).ORCID https://orcid.org/0000-0003-1139-2022
Youngjin YooDepartment of Digital Technology and Innovation, Siemens Healthineers, 755 College Rd E, Princeton, NJ 08540 (E.G., B.G., P.C., P.H.T., Y.Y., J.D., T.J.R., D.C.); Department of Digital Technology and Innovation, Siemens Healthineers, Bangalore, India (V.R.S., A.B.); Department of Computed Tomography, Siemens Healthineers, Forchheim, Germany (E.E., A.C., B.B., T.F.); Department of Radiology, University of Maryland Medical Center, Baltimore, Md (U.K.B.); Department of Radiology, Vancouver General Hospital, Vancouver, Canada (S.N.); Department of Radiology, Northwell Health, New York, NY (P.C.S.); Department of Surgery, UCHealth Memorial Hospital, Colorado Springs, Colo (T.J.S.); and Department of Radiology, NYU Langone Health, New York University School of Medicine, New York, NY (Y.W.L.).ORCID https://orcid.org/0000-0002-0001-0503
Jyotipriya DasDepartment of Digital Technology and Innovation, Siemens Healthineers, 755 College Rd E, Princeton, NJ 08540 (E.G., B.G., P.C., P.H.T., Y.Y., J.D., T.J.R., D.C.); Department of Digital Technology and Innovation, Siemens Healthineers, Bangalore, India (V.R.S., A.B.); Department of Computed Tomography, Siemens Healthineers, Forchheim, Germany (E.E., A.C., B.B., T.F.); Department of Radiology, University of Maryland Medical Center, Baltimore, Md (U.K.B.); Department of Radiology, Vancouver General Hospital, Vancouver, Canada (S.N.); Department of Radiology, Northwell Health, New York, NY (P.C.S.); Department of Surgery, UCHealth Memorial Hospital, Colorado Springs, Colo (T.J.S.); and Department of Radiology, NYU Langone Health, New York University School of Medicine, New York, NY (Y.W.L.).
Thomas J ReDepartment of Digital Technology and Innovation, Siemens Healthineers, 755 College Rd E, Princeton, NJ 08540 (E.G., B.G., P.C., P.H.T., Y.Y., J.D., T.J.R., D.C.); Department of Digital Technology and Innovation, Siemens Healthineers, Bangalore, India (V.R.S., A.B.); Department of Computed Tomography, Siemens Healthineers, Forchheim, Germany (E.E., A.C., B.B., T.F.); Department of Radiology, University of Maryland Medical Center, Baltimore, Md (U.K.B.); Department of Radiology, Vancouver General Hospital, Vancouver, Canada (S.N.); Department of Radiology, Northwell Health, New York, NY (P.C.S.); Department of Surgery, UCHealth Memorial Hospital, Colorado Springs, Colo (T.J.S.); and Department of Radiology, NYU Langone Health, New York University School of Medicine, New York, NY (Y.W.L.).
Vishwanath RsDepartment of Digital Technology and Innovation, Siemens Healthineers, 755 College Rd E, Princeton, NJ 08540 (E.G., B.G., P.C., P.H.T., Y.Y., J.D., T.J.R., D.C.); Department of Digital Technology and Innovation, Siemens Healthineers, Bangalore, India (V.R.S., A.B.); Department of Computed Tomography, Siemens Healthineers, Forchheim, Germany (E.E., A.C., B.B., T.F.); Department of Radiology, University of Maryland Medical Center, Baltimore, Md (U.K.B.); Department of Radiology, Vancouver General Hospital, Vancouver, Canada (S.N.); Department of Radiology, Northwell Health, New York, NY (P.C.S.); Department of Surgery, UCHealth Memorial Hospital, Colorado Springs, Colo (T.J.S.); and Department of Radiology, NYU Langone Health, New York University School of Medicine, New York, NY (Y.W.L.).ORCID https://orcid.org/0000-0002-9494-471X
Abishek BalachandranDepartment of Digital Technology and Innovation, Siemens Healthineers, 755 College Rd E, Princeton, NJ 08540 (E.G., B.G., P.C., P.H.T., Y.Y., J.D., T.J.R., D.C.); Department of Digital Technology and Innovation, Siemens Healthineers, Bangalore, India (V.R.S., A.B.); Department of Computed Tomography, Siemens Healthineers, Forchheim, Germany (E.E., A.C., B.B., T.F.); Department of Radiology, University of Maryland Medical Center, Baltimore, Md (U.K.B.); Department of Radiology, Vancouver General Hospital, Vancouver, Canada (S.N.); Department of Radiology, Northwell Health, New York, NY (P.C.S.); Department of Surgery, UCHealth Memorial Hospital, Colorado Springs, Colo (T.J.S.); and Department of Radiology, NYU Langone Health, New York University School of Medicine, New York, NY (Y.W.L.).ORCID https://orcid.org/0000-0002-3726-7839
Eva EibenbergerDepartment of Digital Technology and Innovation, Siemens Healthineers, 755 College Rd E, Princeton, NJ 08540 (E.G., B.G., P.C., P.H.T., Y.Y., J.D., T.J.R., D.C.); Department of Digital Technology and Innovation, Siemens Healthineers, Bangalore, India (V.R.S., A.B.); Department of Computed Tomography, Siemens Healthineers, Forchheim, Germany (E.E., A.C., B.B., T.F.); Department of Radiology, University of Maryland Medical Center, Baltimore, Md (U.K.B.); Department of Radiology, Vancouver General Hospital, Vancouver, Canada (S.N.); Department of Radiology, Northwell Health, New York, NY (P.C.S.); Department of Surgery, UCHealth Memorial Hospital, Colorado Springs, Colo (T.J.S.); and Department of Radiology, NYU Langone Health, New York University School of Medicine, New York, NY (Y.W.L.).ORCID https://orcid.org/0000-0003-3560-830X
Andrei ChekkouryDepartment of Digital Technology and Innovation, Siemens Healthineers, 755 College Rd E, Princeton, NJ 08540 (E.G., B.G., P.C., P.H.T., Y.Y., J.D., T.J.R., D.C.); Department of Digital Technology and Innovation, Siemens Healthineers, Bangalore, India (V.R.S., A.B.); Department of Computed Tomography, Siemens Healthineers, Forchheim, Germany (E.E., A.C., B.B., T.F.); Department of Radiology, University of Maryland Medical Center, Baltimore, Md (U.K.B.); Department of Radiology, Vancouver General Hospital, Vancouver, Canada (S.N.); Department of Radiology, Northwell Health, New York, NY (P.C.S.); Department of Surgery, UCHealth Memorial Hospital, Colorado Springs, Colo (T.J.S.); and Department of Radiology, NYU Langone Health, New York University School of Medicine, New York, NY (Y.W.L.).ORCID https://orcid.org/0000-0003-3651-6298
Barbara BrehmDepartment of Digital Technology and Innovation, Siemens Healthineers, 755 College Rd E, Princeton, NJ 08540 (E.G., B.G., P.C., P.H.T., Y.Y., J.D., T.J.R., D.C.); Department of Digital Technology and Innovation, Siemens Healthineers, Bangalore, India (V.R.S., A.B.); Department of Computed Tomography, Siemens Healthineers, Forchheim, Germany (E.E., A.C., B.B., T.F.); Department of Radiology, University of Maryland Medical Center, Baltimore, Md (U.K.B.); Department of Radiology, Vancouver General Hospital, Vancouver, Canada (S.N.); Department of Radiology, Northwell Health, New York, NY (P.C.S.); Department of Surgery, UCHealth Memorial Hospital, Colorado Springs, Colo (T.J.S.); and Department of Radiology, NYU Langone Health, New York University School of Medicine, New York, NY (Y.W.L.).
Uttam K BodanapallyDepartment of Digital Technology and Innovation, Siemens Healthineers, 755 College Rd E, Princeton, NJ 08540 (E.G., B.G., P.C., P.H.T., Y.Y., J.D., T.J.R., D.C.); Department of Digital Technology and Innovation, Siemens Healthineers, Bangalore, India (V.R.S., A.B.); Department of Computed Tomography, Siemens Healthineers, Forchheim, Germany (E.E., A.C., B.B., T.F.); Department of Radiology, University of Maryland Medical Center, Baltimore, Md (U.K.B.); Department of Radiology, Vancouver General Hospital, Vancouver, Canada (S.N.); Department of Radiology, Northwell Health, New York, NY (P.C.S.); Department of Surgery, UCHealth Memorial Hospital, Colorado Springs, Colo (T.J.S.); and Department of Radiology, NYU Langone Health, New York University School of Medicine, New York, NY (Y.W.L.).ORCID https://orcid.org/0000-0003-0455-816X
Savvas NicolaouDepartment of Digital Technology and Innovation, Siemens Healthineers, 755 College Rd E, Princeton, NJ 08540 (E.G., B.G., P.C., P.H.T., Y.Y., J.D., T.J.R., D.C.); Department of Digital Technology and Innovation, Siemens Healthineers, Bangalore, India (V.R.S., A.B.); Department of Computed Tomography, Siemens Healthineers, Forchheim, Germany (E.E., A.C., B.B., T.F.); Department of Radiology, University of Maryland Medical Center, Baltimore, Md (U.K.B.); Department of Radiology, Vancouver General Hospital, Vancouver, Canada (S.N.); Department of Radiology, Northwell Health, New York, NY (P.C.S.); Department of Surgery, UCHealth Memorial Hospital, Colorado Springs, Colo (T.J.S.); and Department of Radiology, NYU Langone Health, New York University School of Medicine, New York, NY (Y.W.L.).ORCID https://orcid.org/0000-0002-4203-6605
Pina C SanelliDepartment of Digital Technology and Innovation, Siemens Healthineers, 755 College Rd E, Princeton, NJ 08540 (E.G., B.G., P.C., P.H.T., Y.Y., J.D., T.J.R., D.C.); Department of Digital Technology and Innovation, Siemens Healthineers, Bangalore, India (V.R.S., A.B.); Department of Computed Tomography, Siemens Healthineers, Forchheim, Germany (E.E., A.C., B.B., T.F.); Department of Radiology, University of Maryland Medical Center, Baltimore, Md (U.K.B.); Department of Radiology, Vancouver General Hospital, Vancouver, Canada (S.N.); Department of Radiology, Northwell Health, New York, NY (P.C.S.); Department of Surgery, UCHealth Memorial Hospital, Colorado Springs, Colo (T.J.S.); and Department of Radiology, NYU Langone Health, New York University School of Medicine, New York, NY (Y.W.L.).ORCID https://orcid.org/0000-0002-9633-3699
Thomas J SchroeppelDepartment of Digital Technology and Innovation, Siemens Healthineers, 755 College Rd E, Princeton, NJ 08540 (E.G., B.G., P.C., P.H.T., Y.Y., J.D., T.J.R., D.C.); Department of Digital Technology and Innovation, Siemens Healthineers, Bangalore, India (V.R.S., A.B.); Department of Computed Tomography, Siemens Healthineers, Forchheim, Germany (E.E., A.C., B.B., T.F.); Department of Radiology, University of Maryland Medical Center, Baltimore, Md (U.K.B.); Department of Radiology, Vancouver General Hospital, Vancouver, Canada (S.N.); Department of Radiology, Northwell Health, New York, NY (P.C.S.); Department of Surgery, UCHealth Memorial Hospital, Colorado Springs, Colo (T.J.S.); and Department of Radiology, NYU Langone Health, New York University School of Medicine, New York, NY (Y.W.L.).ORCID https://orcid.org/0000-0001-9164-5004
Thomas FlohrDepartment of Digital Technology and Innovation, Siemens Healthineers, 755 College Rd E, Princeton, NJ 08540 (E.G., B.G., P.C., P.H.T., Y.Y., J.D., T.J.R., D.C.); Department of Digital Technology and Innovation, Siemens Healthineers, Bangalore, India (V.R.S., A.B.); Department of Computed Tomography, Siemens Healthineers, Forchheim, Germany (E.E., A.C., B.B., T.F.); Department of Radiology, University of Maryland Medical Center, Baltimore, Md (U.K.B.); Department of Radiology, Vancouver General Hospital, Vancouver, Canada (S.N.); Department of Radiology, Northwell Health, New York, NY (P.C.S.); Department of Surgery, UCHealth Memorial Hospital, Colorado Springs, Colo (T.J.S.); and Department of Radiology, NYU Langone Health, New York University School of Medicine, New York, NY (Y.W.L.).
Dorin ComaniciuDepartment of Digital Technology and Innovation, Siemens Healthineers, 755 College Rd E, Princeton, NJ 08540 (E.G., B.G., P.C., P.H.T., Y.Y., J.D., T.J.R., D.C.); Department of Digital Technology and Innovation, Siemens Healthineers, Bangalore, India (V.R.S., A.B.); Department of Computed Tomography, Siemens Healthineers, Forchheim, Germany (E.E., A.C., B.B., T.F.); Department of Radiology, University of Maryland Medical Center, Baltimore, Md (U.K.B.); Department of Radiology, Vancouver General Hospital, Vancouver, Canada (S.N.); Department of Radiology, Northwell Health, New York, NY (P.C.S.); Department of Surgery, UCHealth Memorial Hospital, Colorado Springs, Colo (T.J.S.); and Department of Radiology, NYU Langone Health, New York University School of Medicine, New York, NY (Y.W.L.).ORCID https://orcid.org/0000-0002-5238-8647
Yvonne W LuiDepartment of Digital Technology and Innovation, Siemens Healthineers, 755 College Rd E, Princeton, NJ 08540 (E.G., B.G., P.C., P.H.T., Y.Y., J.D., T.J.R., D.C.); Department of Digital Technology and Innovation, Siemens Healthineers, Bangalore, India (V.R.S., A.B.); Department of Computed Tomography, Siemens Healthineers, Forchheim, Germany (E.E., A.C., B.B., T.F.); Department of Radiology, University of Maryland Medical Center, Baltimore, Md (U.K.B.); Department of Radiology, Vancouver General Hospital, Vancouver, Canada (S.N.); Department of Radiology, Northwell Health, New York, NY (P.C.S.); Department of Surgery, UCHealth Memorial Hospital, Colorado Springs, Colo (T.J.S.); and Department of Radiology, NYU Langone Health, New York University School of Medicine, New York, NY (Y.W.L.).ORCID https://orcid.org/0000-0002-9984-9164
University of Maryland, Baltimore · US
Funding
TR&D 4: Revealing Microstructure: Biophysical modeling and validation for discovery and clinical careP41EB017183 · NIBIB · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Dmitry S Novikov · 2014 to 2026
$19.3MNIBIB NIH HHS P41 EB017183
Abstract
Purpose: To present a method that automatically detects, subtypes, and locates acute or subacute intracranial hemorrhage (ICH) on noncontrast CT (NCCT) head scans; generates detection confidence scores to identify high-confidence data subsets with higher accuracy; and improves radiology worklist prioritization. Such scores may enable clinicians to better use artificial intelligence (AI) tools. Materials and Methods: This retrospective study included 46 057 studies from seven "internal" centers for development (training, architecture selection, hyperparameter tuning, and operating-point calibration; Results: The areas under the receiver operating characteristic curve for ICH were 0.97 (0.97, 0.98) and 0.95 (0.94, 0.95) on internal and external center data, respectively. On 80% of the data stratified by calibrated classifier and Dempster-Shafer scores, the system improved the Youden indexes, increasing them from 0.84 to 0.93 (calibrated classifier) and from 0.84 to 0.92 (Dempster-Shafer) for internal centers and increasing them from 0.78 to 0.88 (calibrated classifier) and from 0.78 to 0.89 (Dempster-Shafer) for external centers ( Conclusion: AI that provided statistical confidence measures for ICH detection on NCCT scans reliably detected and subtyped hemorrhages, identified high-confidence predictions, and improved worklist prioritization in simulation.
Indexed as
Convolutional Neural Network (CNN)CTHead/NeckHemorrhage
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