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Dennis Robert

Observed names: D. Robert, Robert, Dennis
ORCID: 0000-0002-8539-6408
Observed ORCID: 0000-0002-8539-6408
OpenAlex ID: A5043421826
Implementing a chest X-ray artificial intelligence tool to enhance tuberculosis screening in India: Lessons learned
2023 · Shibu Vijayan, Vaishnavi Jondhale, et al. · PLOS Digital Health · 44
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Effect of Artificial Intelligence as a Second Reader on the Lung Nodule Detection and Localization Accuracy of Radiologists and Non-radiology Physicians in Chest Radiographs: A Multicenter Reader Study
2024 · Dennis Robert, Saigopal Sathyamurthy, et al. · Academic Radiology · 26
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Artificial Intelligence-based automated CT brain interpretation to accelerate treatment for acute stroke in rural India: An interrupted time series study
2024 · Justy Antony Chiramal, Jacob Johnson, et al. · PLOS Global Public Health · 19
Radiograph accelerated detection and identification of cancer in the lung (RADICAL): a mixed methods study to assess the clinical effectiveness and acceptability of Qure.ai artificial intelligence software to prioritise chest X-ray (CXR) interpretation
2024 · Sean F Duncan, Alex McConnachie, et al. · BMJ Open · 15
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A retrospective audit of an artificial intelligence software for the detection of intracranial haemorrhage used by a teleradiology company in the United Kingdom
2023 · Garry Pettet, Julie West, et al. · BJR|Open · 12
Global COVID‐19 Transmission and Mortality—Influence of Human Development, Climate, and Climate Variability on Early Phase of the Pandemic
2021 · Hariprasad Thazhathedath Hariharan, Anish Thekkumkara Surendran, et al. · GeoHealth · 12
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Comparing the Output of an Artificial Intelligence Algorithm in Detecting Radiological Signs of Pulmonary Tuberculosis in Digital Chest X-Rays and Their Smartphone-Captured Photos of X-Ray Films: Retrospective Study
2024 · Smriti Ridhi, Dennis Robert, et al. · JMIR Formative Research · 11
AI assisted reader evaluation in acute CT head interpretation (AI-REACT): protocol for a multireader multicase study
2024 · Howell Fu, Alex Novak, et al. · BMJ Open · 11
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Accuracy of an artificial intelligence-enabled diagnostic assistance device in recognizing normal chest radiographs: a service evaluation
2023 · Amrita Kumar, Puja Patel, et al. · BJR|Open · 9
Impact of Haemophilus influenzae Type B Conjugate Vaccines on Nasopharyngeal Carriage in HIV-infected Children and Their Parents From West Bengal, India
2016 · Bikas K. Arya, Sangeeta Das Bhattacharya, et al. · The Pediatric Infectious Disease Journal · 9
Early Detection of Heart Failure with Autonomous AI-Based Model Using Chest Radiographs: A Multicenter Study
2024 · Emiliano Garza-Frias, Parisa Kaviani, et al. · Diagnostics · 8
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Assessing the effectiveness of artificial intelligence (AI) in prioritising CT head interpretation: study protocol for a stepped-wedge cluster randomised trial (ACCEPT-AI)
2024 · Kavitha Vimalesvaran, Dennis Robert, et al. · BMJ Open · 8
Evaluating the accuracy of artificial intelligence-powered chest X-ray diagnosis for paediatric pulmonary tuberculosis (EVAL-PAEDTBAID): Study protocol for a multi-centre diagnostic accuracy study
2025 · Brekhna Aurangzeb, Dennis Robert, et al. · BMJ Open · 5
Post-deployment performance of a deep learning algorithm for normal and abnormal chest X-ray classification: A study at visa screening centers in the United Arab Emirates
2024 · Amina Abdelqadir Mohamed AlJasmi, Hatem Ghonim, et al. · European Journal of Radiology Open · 5
MRMCsamplesize: An R Package for Estimating Sample Sizes for Multi-Reader Multi-Case Studies
2023 · Dennis Robert, Saigopal Sathyamurthy, et al. · medRxiv · 4
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A framework for web based geographical information systems for country wide antimicrobial resistance monitoring
2013 · Bikas K. Arya, Dennis Robert, et al. · Health Policy and Technology · 4
Evaluating the Usefulness of Artificial Intelligence-based Chest X-Ray Screening in Improving Tuberculosis Detection Among the High-Risk Tribal Population of Chhattisgarh, India: A Prospective Multi-Centre Study
2025 · Abhishek Gupta, Aswathy M Nair, et al. · Open Forum Infectious Diseases · 3
Development and internal validation of multimodal machine learning models for predicting eligibility for mechanical thrombectomy in suspected stroke patients using routinely collected clinical and imaging data
2025 · Arjun Agarwal, Nirman Bharti, et al. · PLoS ONE · 2
MRMCsamplesize: Sample Size Estimations for Planning Multi-Reader Multi-Case (MRMC) Studies Without Pilot Data
2023 · Dennis Robert · 2
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Identification of Hemorrhage and Infarct Lesions on Brain CT Images using Deep Learning
2023 · Govindarajan, Arunkumar, Agarwal, Arjun, et al. · arXiv (Cornell University) · 2
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Artificial intelligence-assisted reader evaluation in acute CT head interpretation (AI-REACT): a multireader multicase study
2026 · Alex Novak, Ruchir Shah, et al. · BMJ Digital Health & AI · 1
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Prevalence of AI findings on Chest X-ray in patients with lung cancer: a cross-sectional cohort study
2024 · Rhidian Bramley, Philip Broadhurst, et al. · medRxiv · 1
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Utility of artificial intelligence in chest X-ray interpretation: a multi-reader multi-case study
2026 · Javier J Zulueta, Anshul Kumar Singh, et al. · European Respiratory Journal
31 The RADICAL study: A large mixed-methods prospective study evaluating a commercial chest x-ray algorithm for detection of urgent suspicion of cancer
2026 · Sean Duncan, Alex McConnachie, et al. · Lung Cancer
Computer-Aided Analysis of Photographed Chest X-Ray Films Performs Well Compared With Trained Radiologists
2026 · Zerubabel Desita, Temesgen Tadesse, et al. · Mayo Clinic Proceedings Digital Health
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Works count: 28
Citation count: 213
H-index: 9
I10-index: 8
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