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:...

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...

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...

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...

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...

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...

TEACHING POINTS • In the era of artificial intelligence, it is beneficial for radiologists to learn some basic programming tools to organise and curate DICOM...

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...

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...

TEACHING POINTS • Every AI company developing/validating algorithms on different modalities has this question in mind - how to deploy AI algorithms in a radiology...

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...

PURPOSE Quality control in radiology has thus far been restricted to performing random double reads or collating information about clinical correlation - both tedious and...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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,...

(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...

(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...

Sasank Chilamkurthy, Rohit Ghosh, Swetha Tanamala, Mustafa Biviji, Norbert G. Campeau, Vasantha Kumar Venugopal, Vidur Mahajan, Pooja Rao, Prashant Warier Arxiv pre-print, March 2018 ABSTRACT Importance: Non-contrast head CT scan is the...

Dr. Vidur Mahajan penned down his thoughts on AI in Radiology for Express Healthcare (Vol.12, No.3) in March, 2018. View Article

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...

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...