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Dennis Robert

Showing results (11-20 of 20) with videos related to

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Mayo Clinic Proceedings. Digital Health|March 5, 2026
Computer-Aided Analysis of Photographed Chest X-Ray Films Performs Well Compared With Trained RadiologistsZerubabel Desita, Temesgen Tadesse, Anders Solitander Bohlbro, et al.
PLOS Global Public Health|July 24, 2024
Artificial Intelligence-based automated CT brain interpretation to accelerate treatment for acute stroke in rural India: An interrupted time series studyJusty Antony Chiramal, Jacob Johnson, Jemin Webster, et al.
BMJ Open|September 21, 2024
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) interpretationSean F Duncan, Alex McConnachie, James Blackwood, et al.
The Pediatric Infectious Disease Journal|October 19, 2016
Impact of Haemophilus influenzae Type B Conjugate Vaccines on Nasopharyngeal Carriage in HIV-infected Children and Their Parents From West Bengal, IndiaBikas K Arya, Sangeeta Das Bhattacharya, Catherine G Sutcliffe, et al.
BMJ Open|June 17, 2024
Assessing the effectiveness of artificial intelligence (AI) in prioritising CT head interpretation: study protocol for a stepped-wedge cluster randomised trial (ACCEPT-AI)Kavitha Vimalesvaran, Dennis Robert, Shamie Kumar, et al.
Diagnostics (Basel, Switzerland)|August 10, 2024
Early Detection of Heart Failure with Autonomous AI-Based Model Using Chest Radiographs: A Multicenter StudyEmiliano Garza-Frias, Parisa Kaviani, Lina Karout, et al.
PLOS Digital Health|December 7, 2023
Implementing a chest X-ray artificial intelligence tool to enhance tuberculosis screening in India: Lessons learnedShibu Vijayan, Vaishnavi Jondhale, Tripti Pande, et al.
Open Forum Infectious Diseases|January 19, 2026
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 StudyAbhishek Gupta, Aswathy M Nair, Shobha Ekka, et al.
BMJ Open|July 29, 2025
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 studyBrekhna Aurangzeb, Dennis Robert, Cynthia Baard, et al.
BMJ Open|February 12, 2024
AI assisted reader evaluation in acute CT head interpretation (AI-REACT): protocol for a multireader multicase studyHowell Fu, Alex Novak, Dennis Robert, et al.
Pageof 2

Showing results (11-20 of 20) with videos related to

Sort By:
Pageof 2
You have reached the last page of results.This site can display upto 20 results.
Mayo Clinic Proceedings. Digital Health|March 5, 2026
Computer-Aided Analysis of Photographed Chest X-Ray Films Performs Well Compared With Trained RadiologistsZerubabel Desita, Temesgen Tadesse, Anders Solitander Bohlbro, et al.
PLOS Global Public Health|July 24, 2024
Artificial Intelligence-based automated CT brain interpretation to accelerate treatment for acute stroke in rural India: An interrupted time series studyJusty Antony Chiramal, Jacob Johnson, Jemin Webster, et al.
BMJ Open|September 21, 2024
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) interpretationSean F Duncan, Alex McConnachie, James Blackwood, et al.
The Pediatric Infectious Disease Journal|October 19, 2016
Impact of Haemophilus influenzae Type B Conjugate Vaccines on Nasopharyngeal Carriage in HIV-infected Children and Their Parents From West Bengal, IndiaBikas K Arya, Sangeeta Das Bhattacharya, Catherine G Sutcliffe, et al.
BMJ Open|June 17, 2024
Assessing the effectiveness of artificial intelligence (AI) in prioritising CT head interpretation: study protocol for a stepped-wedge cluster randomised trial (ACCEPT-AI)Kavitha Vimalesvaran, Dennis Robert, Shamie Kumar, et al.
Diagnostics (Basel, Switzerland)|August 10, 2024
Early Detection of Heart Failure with Autonomous AI-Based Model Using Chest Radiographs: A Multicenter StudyEmiliano Garza-Frias, Parisa Kaviani, Lina Karout, et al.
PLOS Digital Health|December 7, 2023
Implementing a chest X-ray artificial intelligence tool to enhance tuberculosis screening in India: Lessons learnedShibu Vijayan, Vaishnavi Jondhale, Tripti Pande, et al.
Open Forum Infectious Diseases|January 19, 2026
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 StudyAbhishek Gupta, Aswathy M Nair, Shobha Ekka, et al.
BMJ Open|July 29, 2025
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 studyBrekhna Aurangzeb, Dennis Robert, Cynthia Baard, et al.
BMJ Open|February 12, 2024
AI assisted reader evaluation in acute CT head interpretation (AI-REACT): protocol for a multireader multicase studyHowell Fu, Alex Novak, Dennis Robert, et al.
Pageof 2