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...