Dennis Robert
Qure.ai, Indian Institute of Technology Kharagpur, Government Medical College Kottayam
0000-0002-8539-6408
About
Dennis is a Physician turned Data Scientist. He is currently working in industry and has about 8+ years of industrial experience spanning Software Medical Device industry, Pharmaceutical industry and Healthcare IT consulting industry. Additionally he has 3 years of experience in General Clinical Practice.
He holds an MBBS (Bachelor of Medicine and Surgery) degree with a post-graduation in Medical Science and Technology (MMST) focusing on Biostatistics and Computational Epidemiology.
His two primary areas of interest are Medical AI and Real-World-Data (RWD).
He is experienced in computer-assisted detection software validation, epidemiological study protocol designs, statistical analysis plan development, RWD observational data analysis, R statistical computing and Python for AI/ML model development on top of structured patient level clinical data.
Employment
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Qure.ai Clinical Research Scientist2022 - Present
Education
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Indian Institute of Technology Kharagpur MMST2011 - 2014
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Government Medical College Kottayam MBBS2003 - 2010
Projects & Funding
Projects & funding information is unavailable.
Publications (26)
- 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 Save
- 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 Save
- 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 Save
- Prevalence of AI findings on Chest X-ray in patients with lung cancer: a cross-sectional cohort study Save
- 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 Save
- A retrospective audit of an artificial intelligence software for the detection of intracranial haemorrhage used by a teleradiology company in the UK Save
- Accuracy of an artificial intelligence-enabled diagnostic assistance device in recognising normal chest radiographs: A service evaluation Save
- 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 Save
- 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 Save
- Artificial Intelligence-based automated CT brain interpretation to accelerate treatment for acute stroke in rural India: An interrupted time series study Save