Automatic pre-population of normal chest x-ray reports using a high-sensitivity...
Purpose: To evaluate a high-sensitivity deep learning algorithm for normal/abnormal chest x-ray (CXR) classification by deploying it in a real clinical setting. Methods and materials:...
Validation of a high precision semantic search tool using a...
Purpose: To validate a sematic search tool by testing the search results for complex terms. Methods and materials: The tool consists of two pipelines: an...
CARING at SIIM 2021!
There are 4 lectures by CARING at SIIM 2021 talking about various aspects of AI deployment and validation. The sessions are: Lectures 1.) Harsh Mahajan,...
CARPL Teleradiology Applications
CARPL.Mail This app enables you to E-Mail Patient’s DICOM Data faster and in more efficient way. You do not have to manually download a study...
High throughput detection and genetic epidemiology of SARS-CoV-2 using COVIDSeq...
Abstract The rapid emergence of coronavirus disease 2019 (COVID-19) as a global pandemic affecting millions of individuals globally has necessitated sensitive and high-throughput approaches for...
Clinical Explainability Failure (CEF) & Explainability Failure Ratio (EFR): changing...
Abstract Adoption of Artificial Intelligence (AI) algorithms into the clinical realm will depend on their inherent trustworthiness, which is built not only by robust validation...
Giant glomus tumor of the knee mimicking soft-tissue sarcoma
ABSTRACT Glomangiomas (glomus tumors) are benign vascular tumors commonly located at the distal extremities, are usually subungual lesions, and account for 2% of all soft-tissue...
How to build an AI that works? (and get paid!!)
IRIA -ICRI webinar series — Part 2 This is a commentary of the IRIA- ICRI webinar on the same topic that happened on May 21...
What do AI tech companies want from radiologists? (other than...
Commentary on IRIA-ICRI webinar series on AI in Radiology — Part 1 *The themes in this blog originated from the IRIA- ICRI webinar on the...
A Systematic Meta-Analysis of CT Features of COVID-19: Lessons from...
Vasantha Kumar Venugopal, Vidur Mahajan, Sriram Rajan, Vikash Kumar Agarwal, Ruchika Rajan, Salsabeel Syed, Harsh Mahajan This article is a preprint and has not been peer-reviewed [what does this mean?]. It reports new medical research that has yet...
A Comparison of the Reliability of the Patellar Tendon- Trochlear...
Introduction: An increased tibial tuberosity-trochlear groove (TTTG) distance is used for deciding a treatment plan in patello-femoral instability (PFI). The centre of the patellar tendon...
India’s Solution to the Coronavirus Pandemic lies in Local Partnership...
The fastest way to help India survive the COVID-19 pandemic involves building AI tools by leveraging Local Public-Private-Partnerships and Global Data Collaborations Note: A version...
List of All Radiology Papers Related to Coronavirus
Below is a constantly updated list of papers related to COVID-19. The idea is to enable data sharing and research sharing of radiology content in...
CARING AND SUBTLE MEDICAL TEAM UP TO LAUNCH NEW ARTIFICIAL...
CARING partners with Subtle Medical to improve MRI scans worldwide. DELHI, INDIA, February 1, 2020 -- Subtle Medical, a Menlo Park-based healthcare technology company, has...
Metabolic imaging patterns in posterior cortical atrophy and Lewy body...
Purpose: To study the imaging patterns of Posterior cortical atrophy (PCA) and Dementia with Lewy bodies (DLB) on fluoro-deoxyglucose positron emission tomography computed tomography ([18F]FDG...
Unboxing AI – Radiological Insights Into a Deep Neural Network...
Rationale and Objectives: To explain predictions of a deep residual convolutional network for characterization of lung nodule by analyzing heat maps Materials and Methods A...
The Algorithmic Audit: Working with Vendors to Validate Radiology-AI Algorithms...
Abstract There is a plethora of Artificial Intelligence (AI) tools that are being developed around the world aiming at either speeding up or improving the...
Can AI Generate Clinically Appropriate X-Ray Reports? Judging the Accuracy...
PURPOSE Implementations of deep learning algorithms in clinical practice are limited by the nature of output provided by the algorithms. We evaluate the accuracy, clinical...
Spectrum of Autoimmune Limbic Encephalitis on FDG PET/CT (RSNA 2019,...
PURPOSE To evaluate the role of FDG PET CT in the diagnosis, treatment response evaluation and follow up of patients with suspected autoimmune limbic encephalitis...
Next Generation Sequencing for the Practicing Radiologist (RSNA 2019, Sun...
TEACHING POINTS Next Generation Sequencing (NGS) is a technique of reading the entire genome or screening few relevant genes for aberrations. NGS sequences DNA parallelly...
Circulating Tumor DNA (ctDNA) – A Potential Adjunct to FDG-PET...
TEACHING POINTS • With the continuous advances in healthcare - Next Generation Sequencing and PET-CT are revolutionising cancer diagnostics • Survival outcomes in cancer can...
Tips and Tricks on Basic Programming Tools for Radiologists to...
TEACHING POINTS • In the era of artificial intelligence, it is beneficial for radiologists to learn some basic programming tools to organise and curate DICOM...
Building Robust ML Models Using Federated Learning: The Future of...
TEACHING POINTS What does Deep Neural Nets learn? Are they cramming or they are learning? How to avoid cramming and move towards learning. How to...
How to Lie with Statistics: Things To Keep in Mind...
TEACHING POINTS 1. In today's age of deep learning and artificial intelligence, a radiologist must know what to watch out for while evaluating a deep...
Practical Guide for Deployment of AI Solutions in Clinical Environment:...
TEACHING POINTS • Every AI company developing/validating algorithms on different modalities has this question in mind - how to deploy AI algorithms in a radiology...
Getting AI Ready for Deployment: Tuning Algorithms to Specific Sites...
PURPOSE Lack of generalisation of deep neural networks, due to equipment and geographic variability, is a known problem facing the radiology community today. We propose...
Mediastinal Lymph Nodal Staging by 18 F FDG PET CT...
PURPOSE The aim of this study is to evaluate the imaging characteristics of metastatic and benign (Tubercular) lymph nodes on18 F FDG PET/CT, in patients...
Making Spine MR Reports More Clinically Appropriate: A Questionnaire-based Survey...
PURPOSE MR reports have been unchanged for a long time, and clinical relevance of MR findings are being challenged in literature. We assess the weightage...
Evaluating the Complimentary Role of Pseudo-STIR in Assessment of Hyperintense...
PURPOSE T2W weighted images contain inherent T1W weighted contrast. Pseudo-STIR images are generated by a simple post processing technique of subtracting T1W images from the...
Deploying Deep Learning for Quality Control: An AI-assisted Review of...
PURPOSE Quality control in radiology has thus far been restricted to performing random double reads or collating information about clinical correlation - both tedious and...
Establishing Normative Kidney Sizes for a Large Developing Country’s Adult...
PURPOSE There are no large-scale population level studies describing kidney size in normal adult population from this geography. Currently, radiologists rely on data from other...
Difference in the Spectrum of Metastatic Disease on 68Ga PSMA...
PURPOSE To determine the pattern of metastatic disease with 68Ga PSMA PET/CT in patients with biochemical recurrence after definitive treatment. METHOD AND MATERIALS A retrospective...
Concepts in U.S. Food and Drug Administration Regulation of Artificial...
OBJECTIVE. Although extensive attention has been focused on the enormous potential of artificial intelligence (AI) technology, a major question remains: how should this fundamentally new...
Comparison of 90 and 180 Micron Resolution Cone Beam CT...
Oral Presentation at the European Congress of Radiology, Vienna, 2019 Purpose Many dental patients have root-canal filled teeth which cause artefacts on a Cone Beam...
Are radiologists’ bad teachers for AI algorithms? – Differences in...
Oral Presentation at the European Congress of Radiology, Vienna, 2019 Purpose To assess differences in interobserver variability before and after a consensus-based definition of the...
Automated multiregional Prostatesegmentation in Magnetic Resonance using deeply supervised Convolutional...
Oral Presentation at the European Congress of Radiology, Vienna, 2019 Purpose A CNN-based automatic prostate segmentation method is proposed, aiming to identify and differentiate central...
Time to replace T2-STIR with Diffusion-Weighted imaging for visualisation of...
Oral Presentation at the European Congress of Radiology, Vienna, 2019 Purpose To determine if diffusion-weighted imaging of nerves can provide additional information or change the...
Opening the “Black Box” – Radiological Insights into a Deep...
Oral Presentation at the European Congress of Radiology, Vienna, 2019 Purpose To explain predictions of a deep residual convolutional network for characterization of lung nodule...
Evaluating variability of T2 values of the cartilage, menisci and...
Oral Presentation at the European Congress of Radiology, Vienna, 2019 Purpose To evaluate the temporal and inter magnetic field strength variability of T2 values of...
FuzzyPACS: Linking Large Unorganised Image and Report Databases for Development...
Oral Presentation at the European Congress of Radiology, Vienna, 2019 Purpose Developing and validation of Deep Learning (DL) algorithms for medical imaging requires access to...
Why Guidelines are Important? Inter observer variability in assessing MRI...
Oral Presentation at the European Congress of Radiology, Vienna, 2019 Purpose To assess the interobserver variability in identifying the MRI signs of endometriosis as described...
Combined traditional image processing and deep learning approach for automated...
Oral Presentation at the European Congress of Radiology, Vienna, 2019 Purpose We propose a novel ensemble-approach of traditional image processing combined with deep learning to...
Automated classification of chest X-rays as normal/abnormal using a high...
Oral Presentation at the European Congress of Radiology, Vienna, 2019 Purpose Majority of Chest X-rays (CXRs) performed globally are normal and radiologists spend significant time...
Retrospective Comparative Study to Assess the Pitfalls of Cartigram and...
Oral Presentation at the European Congress of Radiology, Vienna, 2019 Purpose To analyze the common pitfalls in T2 cartilage maps of the knee joint. To...
Towards Virtual MR Imaging: Predicting Diffusion-Weighted Brain MR Images from...
Oral Presentation at the European Congress of Radiology, Vienna, 2019 Purpose In a quest for standardisation and speeding-up for MR Imaging, there is a move...
“Who Moved My Cheese “?- A Survival Guide on Segmentation...
Educational Exhibit at the European Congress of Radiology, Vienna, 2019 (Note: images here are for representation only. Please write to us in case you would...
The Secret Seven: Free tools that every ‘next-gen’ practicing radiologist...
Educational Exhibit at the European Congress of Radiology, Vienna, 2019 (Note: images here are for representation only. Please write to us in case you would...
How to take-on Metal-on Metal in MRI: A Step-By-Step Guide...
Educational Exhibit at the European Congress of Radiology, Vienna, 2019 (Note: images here are for representation only. Please write to us in case you would...
How much weighting does T1 Weighting deserve? – Tips and...
Educational Exhibit at the European Congress of Radiology, Vienna, 2019 (Note: images here are for representation only. Please write to us in case you would...
Cine Mode MRI in Pre- & Post-Operative Evaluation of Hydrocephalus...
Educational Exhibit at the European Congress of Radiology, Vienna, 2019 (Note: images here are for representation only. Please write to us in case you would...
Automated Chest Cavity and Lung Segmentation for Temporal Tracking of...
Poster Presentation at the European Congress of Radiology, Vienna, 2019 Purpose Objectively evaluating progression and regression of lung pathologies on frontal Chest X-Ray (CXR) in...
Development and Validation of a Deep Learning Based Automated Lumbar...
Poster Presentation at the European Congress of Radiology, Vienna, 2019 Purpose We describe a novel use-case of Convolutional Neural Networks to automatically measure spinal canal...
Initial experiences with Amide Proton Transfer Imaging – Correlation between...
Poster Presentation at the European Congress of Radiology, Vienna, 2019 Purpose Amide proton transfer (APT) imaging is a new molecular MRI technique based on chemical...
Cloud-based semi-automated liver segmentation- Analytical study to compare its speed...
Poster Presentation at the European Congress of Radiology, Vienna, 2019 Purpose We discuss a novel method to semi-automatically segment liver parenchyma and vasculature using deep...
Towards Radiologist-level malignancy detection on Chest CT scans: A comparative...
Poster Presentation at the European Congress of Radiology, Vienna, 2019 Purpose To evaluate the performance of a deep learning system based on convolutional neural networks...
Stress testing a deep learning algorithm for normal/abnormal classification of...
Poster Presentation at the European Congress of Radiology, Vienna, 2019 Purpose To stress test the performance of a deep learning algorithm on a dataset with...
Better insights with ISC when using a multi-sensory fMRI paradigm
SfN, Nov 6, 2018 *D. SINGLA1, J. KAUR2, A. DHAWAN3, V. MAHAJAN4, R. GARG2; 1Electrical Engin., 2Computer Sci. & Engin., Indian Inst. of Technology, Delhi,...
Deep learning algorithms for detection of critical findings in head...
The Lancet; Published online October 11, 2018 Sasank Chilamkurthy, Rohit Ghosh, Swetha Tanamala, Mustafa Biviji, Norbert G Campeau, Vasantha Kumar Venugopal, Vidur Mahajan, Pooja Rao,...
Evaluating the Role of Tc99m Sestamibi Scan in Parathyroid Surgery:...
(RSNA 2018, Wed Nov 28 2018 3:50PM - 4:00PM ROOM Z44) PURPOSE In this study we aim to evaluate the (99mTc) sestamibi parathyroid scan as...
A Comparative Analysis of Myocardial Perfusion on Gated SPECT versus...
(RSNA 2018, Sun Nov 25 2018 11:05AM - 11:15AM ROOM Z44) PURPOSE The aim of the current study was to compare the results of 64-slice...
Evaluating Variability in Knee CartiGram MRI – A Quantitative Study
(RSNA 2018, Thu Nov 29 2018 11:50AM - 12:00PM ROOM Z15) PURPOSE MRI cartilage assessment using CartiGram is a widely used T2 mapping sequence to...
T2 Nerve Imaging of the Brachial Plexus Using Compressed-SENSE Effect...
(RSNA 2018, Wed Nov 28 2018 3:40PM - 3:50PM ROOM Z17) PURPOSE In this study, compressed sensing is combined with the parallel-imaging or SENSE infrastructure,...
Acceleration of MR Imaging of Spine Using Compressed-SENSE: A Comparison...
(RSNA 2018, Wed Nov 28 2018 11:30AM - 11:40AM ROOM Z41) PURPOSE To objectively evaluate the impact of Compressed-SENSE (CSENSE), a novel acquisition technique that...
Correlation of 99mTc-TRODAT-1 SPECT Imaging Findings and Clinical Staging of...
(Accepted Poster at RSNA 2018, Tue Nov 27 2018 12:45PM - 1:15PM) PURPOSE Parkinson’s disease (PD) in a progressive neurodegenerative disorder that results in loss...
Synthetic PET Generator: A Novel Method to Improve Lung Nodule...
(Accepted Poster at RSNA 2018, Tue Nov 27 2018 12:15PM - 12:45PM) BACKGROUND Assessment of malignancy of lung nodules on CT scans is a subjective...
Neuroimaging Evidence of Structural and Functional Brain Plasticity After Sight...
(RSNA 2018, Mon Nov 26 2018 3:00PM - 3:10PM ROOM Z21) PURPOSE Direct data from human subjects on the validity of the “critical period” of...
Posterior Cortical Variant Alzheimer’s Disease and Lew Body Dementia: Similarities...
(RSNA 2018, Mon Nov 26 2018 3:30PM - 3:40PM ROOM Z44) PURPOSE Posterior cortical atrophy (PCA) is a form of dementia considered to be an...
Hepatic Shear Wave Elastography: Correlation Between Liver Stiffness and Esophagogastric...
(RSNA 2018, Mon Nov 26 2018 11:40AM - 11:50AM ROOM Z10) PURPOSE To evaluate the role of liver stiffness measurement (LSM) measured by shear wave...
Medium and Large Vessel Vasculitis: Recognizing Patterns on FDG PET-CT
(RSNA 2018, Sun Nov 25 2018 11:35AM - 11:45AM ROOM Z44) PURPOSE The diagnosis of medium to large-vessel vasculitis and the assessment of its activity...
Evaluation of Role of F-18 FDG Cardiac PET and Tc-99m...
(RSNA 2018, Sun Nov 25 2018 10:55AM - 11:05AM ROOM Z44) PURPOSE To evaluate the therapeutic benefit with revascularization and optimal medical treatment (OMT) in...
Improving the Accuracy of Deep Learning Networks for Bone-Age Estimation...
(RSNA 2018, Wed Nov 28 2018 9:00AM - 9:10AM ROOM Z09) PURPOSE The Greulich-Pyle (GP) method of bone age determination primarily involves estimation of ossification...
Localization and Restaging of Carcinoma Prostate by 68Ga PSMA PET/CT...
(RSNA 2018, Mon Nov 26 2018 11:25AM - 11:35AM ROOM Z44) PURPOSE Prostate cancer is the most common solid cancer in men. Following definitive treatment...
Mapping the MAPCAs with Dual Source CT: What Do Cardiothoracic...
(Educational exhibit, RSNA 2018) V Venugopal, MD, New Delhi, India; V Mahajan, MBBS; H Mahajan, MD, MBBS TEACHING POINTS 1. Major Aortopulmonary collateral arteries are...
Five Free Radiology Hacks Every Practicing Radiologist Should Know
(Educational Exhibit, RSNA 2018) V Mahajan, MBBS, New Delhi, India; V Venugopal, MD TEACHING POINTS Many free tools available which can enhance radiologists’ practice from...
Amide Proton Transfer Imaging for Brain Tumors: Initial Experience and...
(Educational Exhibit, RSNA 2018) V Mahajan, MBBS, MBA; R Bhattacharjee, MENG; I Saha, PhD; H Mahajan, MD; S Panwar, MD; V Venugopal, MD TEACHING POINTS...
Current state of AI in radiology
Dr. Vidur Mahajan penned down his thoughts on AI in Radiology for Express Healthcare (Vol.12, No.3) in March, 2018. View Article
Cover of India Today January, 2018 Issue
CARING helped design the January India Today Spice cover page using a blend of X-Ray and CT Scan technology. Just something we do in our...
Dawn of an AI era?
Mansha Gagneja, from Express Healthcare, caught up with Dr Vidur Mahajan to learn about AI’s impact on the radiology sector and understand its adoption at...
Spread the word: Learning changes brain, behaviour
How does literacy change our brain, behaviour or personality? A group of scientists from AIIMS, JNU and Max Planck Institute of Psycholinguistics, Netherlands are mapping this by...
Semi-Automated Quantitative Analysis of Cartilage Thickness and T2 Values
Rafeek T, Sandeep Panwar Jogi, Sriram Rajan, Amit Mehndiratta, Anup Singh Accepted for presentation at ISMRM, 2018 Purpose: Osteoarthris (OA) is the degenerative disease in...
Quantitative MR Imaging of Articular Knee Cartilage with Axial Loading...
Sandeep Panwar Jogi, Rafeek T., Sriram Rajan, Vidur Mahajan, Sitikanta Roy, Anup Singh, and Amit Mehndiratta Accepted for presentation at ISMRM, 2018 Purpose: Musculoskeletal diseases...
Automated Seed Points Selection Based Radial-Search Segmentation Method For Sagittal...
Sandeep Panwar Jogi, Rafeek T., Sriram Rajan, Krithika Rangarajan, Anup Singh, and Amit Mehndiratta Accepted for presentation at ISMRM, 2018 Synopsis: Knee disorders are generally...