Metabolic imaging patterns in posterior cortical atrophy and Lewy body...

Caring-Research
Oct 30, 2019

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...

Caring-Research
Sep 23, 2019

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...

Caring-Research
Sep 17, 2019

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...

Caring-Research
Sep 11, 2019

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,...

Caring-Research
Aug 14, 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...

Caring-Research
Aug 14, 2019

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...

Caring-Research
Aug 14, 2019

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...

Caring-Research
Aug 14, 2019

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...

Caring-Research
Aug 14, 2019

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...

Caring-Research
Aug 14, 2019

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:...

Caring-Research
Aug 14, 2019

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...

Caring-Research
Aug 14, 2019

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...

Caring-Research
Aug 14, 2019

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...

Caring-Research
Aug 14, 2019

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...

Caring-Research
Aug 14, 2019

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...

Caring-Research
Aug 14, 2019

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...

Caring-Research
Aug 14, 2019

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...

Caring-Research
Aug 14, 2019

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...

Caring-Research
Jun 30, 2019

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...

Caring-Research
Jan 21, 2019

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...

Caring-Research
Jan 21, 2019

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...

Caring-Research
Jan 21, 2019

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...

Caring-Research
Jan 21, 2019

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...

Caring-Research
Jan 21, 2019

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...

Caring-Research
Jan 21, 2019

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...

Caring-Research
Jan 21, 2019

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...

Caring-Research
Jan 21, 2019

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...

Caring-Research
Jan 21, 2019

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...

Caring-Research
Jan 21, 2019

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...

Caring-Research
Jan 21, 2019

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...

Caring-Research
Jan 21, 2019

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...

Caring-Research
Jan 21, 2019

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...

Caring-Research
Jan 21, 2019

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...

Caring-Research
Jan 21, 2019

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...

Caring-Research
Jan 21, 2019

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...

Caring-Research
Jan 21, 2019

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...

Caring-Research
Jan 21, 2019

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...

Caring-Research
Jan 21, 2019

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...

Caring-Research
Jan 21, 2019

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...

Caring-Research
Jan 21, 2019

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...

Caring-Research
Jan 21, 2019

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...

Caring-Research
Jan 21, 2019

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...