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Cine Mode MRI in Pre- & Post-Operative Evaluation of Hydrocephalus – Life beyond NPH and aqueduct stenosis

2019-01-11

  • Artificial Intelligence,

  • Clinical,

Cine Mode MRI In Pre- & Post-Operative Evaluation Of Hydrocephalus – Life Beyond NPH And Aqueduct Stenosis LEARNING OBJECTIVES: 1. To learn...

Automatic delineation of anterior and posterior cruciate ligaments by combining deep learning and deformable atlas based segmentation

2019-03-15

  • Artificial Intelligence,

  • Clinical,

Automatic Delineation Of Anterior And Posterior Cruciate Ligaments By Combining Deep Learning And Deformable Atlas Based Segmentation Abstract Quantitative evaluation of bones...

Difference in the Spectrum of Metastatic Disease on 68Ga PSMA PET/CT after Radical Prostatectomy and after Radical Radiotherapy in Patients of Carcinoma Prostate with Biochemical Recurrence

2019-08-14

  • Artificial Intelligence,

  • Clinical,

Difference In The Spectrum Of Metastatic Disease On 68Ga PSMA PET/CT After Radical Prostatectomy And After Radical Radiotherapy In Patients Of Carcinoma...

Establishing Normative Kidney Sizes For A Large Developing Country’S Adult Population Using Big Data: A Study Of 30,000 Ultrasound Scans Yields A Potential Gender And Age-Related Difference

2019-08-14

  • Artificial Intelligence,

  • Clinical,

Establishing Normative Kidney Sizes For A Large Developing Country's Adult Population Using Big Data: A Study Of 30,000 Ultrasound Scans Yields A...

Deploying Deep Learning for Quality Control: An AI-assisted Review of Chest X-rays Reported as ‘Normal’ in Routine Clinical Practice

2019-08-14

  • Artificial Intelligence,

  • Clinical,

Deploying Deep Learning For Quality Control: An AI-Assisted Review Of Chest X-Rays Reported As ‘Normal’ In Routine Clinical Practice PURPOSE Quality control...

Evaluating the Complimentary Role of Pseudo-STIR in Assessment of Hyperintense Marrow Lesions as Compared to T2-STIR

2019-08-14

  • Artificial Intelligence,

  • Clinical,

Evaluating The Complimentary Role Of Pseudo-STIR In Assessment Of Hyperintense Marrow Lesions As Compared To T2-STIR PURPOSE T2W weighted images contain inherent...

Making Spine MR Reports More Clinically Appropriate: A Questionnaire-based Survey of Sub-specialty Spine Surgeons

2019-08-14

  • Artificial Intelligence,

  • Clinical,

Making Spine MR Reports More Clinically Appropriate: A Questionnaire-Based Survey Of Sub-Specialty Spine Surgeons PURPOSE MR reports have been unchanged for a...

Mediastinal Lymph Nodal Staging by 18 F FDG PET CT in Patients with Coexistent Carcinoma Lung and Tuberculosis: A Tertiary Care Centre Experience (RSNA 2019, Sun Dec 01 – 06)

2019-08-14

  • Artificial Intelligence,

  • Clinical,

Mediastinal Lymph Nodal Staging By 18 F FDG PET CT In Patients With Coexistent Carcinoma Lung And Tuberculosis: A Tertiary Care Centre...

Getting AI Ready for Deployment: Tuning Algorithms to Specific Sites Using a Single Chest X-Ray Image

2019-08-14

  • Artificial Intelligence,

  • Clinical,

Getting AI Ready For Deployment: Tuning Algorithms To Specific Sites Using A Single Chest X-Ray Image PURPOSE Lack of generalisation of deep...

Practical Guide for Deployment of AI Solutions in Clinical Environment: How Did We Do It?

2019-08-14

  • Artificial Intelligence,

  • Clinical,

Practical Guide For Deployment Of AI Solutions In Clinical Environment: How Did We Do It? TEACHING POINTS • Every AI company developing/validating...

How to Lie with Statistics: Things To Keep in Mind While Evaluating a Deep Learning Claim

2019-08-14

  • Artificial Intelligence,

  • Clinical,

How To Lie With Statistics: Things To Keep In Mind While Evaluating A Deep Learning Claim TEACHING POINTS 1. In today’s age...

Building Robust ML Models Using Federated Learning: The Future of AI Deployment

2019-08-14

  • Artificial Intelligence,

  • Clinical,

Building Robust ML Models Using Federated Learning: The Future Of AI Deployment TEACHING POINTS What does Deep Neural Nets learn? Are they...

Tips and Tricks on Basic Programming Tools for Radiologists to Handle DICOM Data

2019-08-14

  • Artificial Intelligence,

  • Clinical,

Tips and Tricks On Basic Programming Tools For Radiologists To Handle DICOM Data TEACHING POINTS • In the era of artificial intelligence,...

Circulating Tumor DNA (ctDNA) – A Potential Adjunct to FDG-PET Imaging in Cancer Follow Up

2019-08-14

  • Artificial Intelligence,

  • Clinical,

Circulating Tumor DNA (CtDNA) – A Potential Adjunct To FDG-PET Imaging In Cancer Follow Up TEACHING POINTS • With the continuous advances...

Next Generation Sequencing for the Practicing Radiologist

2019-08-14

  • Artificial Intelligence,

  • Clinical,

Next Generation Sequencing For The Practicing Radiologist TEACHING POINTS Next Generation Sequencing (NGS) is a technique of reading the entire genome or...

Spectrum of Autoimmune Limbic Encephalitis on FDG PET/CT

2019-08-14

  • Artificial Intelligence,

  • Clinical,

Spectrum Of Autoimmune Limbic Encephalitis On FDG PET/CT PURPOSE To evaluate the role of FDG PET CT in the diagnosis, treatment response...

Can AI Generate Clinically Appropriate X-Ray Reports? Judging the Accuracy and Clinical Validity of Deep Learning-generated Test Reports as Compared to Reports Generated by Radiologists: A Retrospective Comparative Study

2019-09-11

  • Artificial Intelligence,

  • Clinical,

Can AI Generate Clinically Appropriate X-Ray Reports? Judging The Accuracy And Clinical Validity Of Deep Learning-Generated Test Reports As Compared To Reports...

Modified radial-search algorithm for segmentation of tibiofemoral cartilage in MR images of patients with subchondral lesion

2020-01-11

  • Artificial Intelligence,

  • Clinical,

Modified Radial-Search Algorithm For Segmentation Of Tibiofemoral Cartilage In MR Images Of Patients With Subchondral Lesion Abstract Purpose: The quantitative analysis of...

Evaluating radiologists’ knowledge of MRI safety – a questionnaire-based survey of practicing radiologists

2020-01-13

  • Artificial Intelligence,

  • Clinical,

Evaluating Radiologists’ Knowledge Of MRI Safety – A Questionnaire-Based Survey Of Practicing Radiologists PURPOSE: There is a lot of confusion about whether...

Are orthopaedic surgeons as good as radiologists at detecting glenoid labral lesions? A comparative study

2020-01-13

  • Artificial Intelligence,

  • Clinical,

Are Orthopaedic Surgeons As Good As Radiologists At Detecting Glenoid Labral Lesions? A Comparative Study PURPOSE: In the current era of information...

DICE Score vs Radiologist – Visual quantification of Virtual Diffusion Sequences – pitfalls of lesion segmentation-based approach as compared to clinical relevance-based qualitative assessment

2020-01-13

  • Artificial Intelligence,

  • Clinical,

DICE Score Vs Radiologist – Visual Quantification Of Virtual Diffusion Sequences – Pitfalls Of Lesion Segmentation-Based Approach As Compared To Clinical Relevance-Based...

Six must-have features for advanced analytics and visualization platform for validating new-age AI algorithms

2020-01-13

  • Artificial Intelligence,

  • Clinical,

Six Must-Have Features For Advanced Analytics And Visualization Platform For Validating New-Age AI Algorithms LEARNING OBJECTIVES: In this exhibit, we discuss the...

Establishing Normative Liver Volume and Attenuation for the Population of a Large Developing Country Using Deep Learning – A Retrospective Study of 1,800 CT Scans

2020-01-13

  • Artificial Intelligence,

  • Clinical,

Establishing Normative Liver Volume and Attenuation for the Population of a Large Developing Country Using Deep Learning – A Retrospective Study of 1,800 CT Scans

Acceleration of cerebrospinal fluid flow quantification using Compressed-SENSE: A quantitative comparison with standard acceleration techniques

2020-01-13

  • Artificial Intelligence,

  • Clinical,

Acceleration Of Cerebrospinal Fluid Flow Quantification Using Compressed-SENSE: A Quantitative Comparison With Standard Acceleration Techniques PURPOSE: CSF quantification study is typically useful...

Spleen or liver? – Prospective study to evaluate the role of Splenic and Hepatic Shear Wave elastography for evaluation of portal hyperdynamic circulation.

2020-01-18

  • Artificial Intelligence,

  • Clinical,

Spleen Or Liver? – Prospective Study To Evaluate The Role Of Splenic And Hepatic Shear Wave Elastography For Evaluation Of Portal Hyperdynamic...

HIPAA, GDPR and Best Practice Guidelines for preserving data security and privacy – What Radiologists should know.

2020-01-18

  • Artificial Intelligence,

  • Clinical,

HIPAA, GDPR And Best Practice Guidelines For Preserving Data Security And Privacy – What Radiologists Should Know. LEARNING OBJECTIVES: At the end...

A What, When and Where Guide on Open Source DICOM viewers for Radiologists.

2020-01-20

  • Artificial Intelligence,

  • Clinical,

A What, When And Where Guide On Open Source DICOM Viewers For Radiologists.

Assessment of Brain Tissue Microstructure by Diffusion Tensor Distribution MRI: An Initial Survey of Various Pathologies

2020-12-01

  • Artificial Intelligence,

  • Clinical,

To explore the potential of the novel diffusion tensor distribution (DTD) MRI method for assessment of brain tissue microstructure in terms of nonparametric...

Initial Clinical Experiences with EPIMIX Sequence in Multiple Brain Pathologies

2020-12-01

  • Artificial Intelligence,

  • Clinical,

Initial Clinical Experiences With EPIMIX Sequence In Multiple Brain Pathologies TEACHING POINTS: A new multi-contrast echo planar imaging sequence called EPIMIX has...

Can AI Help Read Pediatric Chest X-rays? An independent Evaluation on 3,000+ Scans

2020-12-01

  • Artificial Intelligence,

  • Clinical,

Can AI Help Read Pediatric Chest X-Rays? An Independent Evaluation On 3,000+ Scans PURPOSE: To evaluate the performance of a commercially available...

Estimating AI-generated Bias in Radiology Reporting by Measuring the Change in the Kellgren-Lawrence Grades of Knee Arthritis Before and After Knowledge of AI Results—A Multi-reader Retrospective Study

2020-12-01

  • Artificial Intelligence,

  • Clinical,

Estimating AI-generated Bias in Radiology Reporting by Measuring the Change in the Kellgren-Lawrence Grades of Knee Arthritis Before and After Knowledge of AI Results - A Multi-reader Retrospective Study

A novel abnormality annotation database for covid-19 affected frontal lung x-rays

2021-01-14

  • Artificial Intelligence,

  • Clinical,

A Novel Abnormality Annotation Database For Covid-19 Affected Frontal Lung X-Rays Abstract Purpose: To advance the usage of CXRs as a viable...

Device for Assessing Knee Joint Dynamics During Magnetic Resonance Imaging

2021-08-09

  • Artificial Intelligence,

  • Clinical,

Device For Assessing Knee Joint Dynamics During Magnetic Resonance Imaging Abstract Purpose: Design and develop a portable and easy-to-use axial loading device...

Validation of expert system enhanced deep learning algorithm for automated screening for COVID-Pneumonia on chest X-rays

2021-12-01

  • Artificial Intelligence,

  • Clinical,

Validation Of Expert System Enhanced Deep Learning Algorithm For Automated Screening For COVID-Pneumonia On Chest X-Rays...

Clinical Experience Using Novel Multidimensional Diffusion Magnetic Resonance Imaging For Characterization Of Tissue Microstructure In Various Brain Pathologies

2021-12-01

  • Artificial Intelligence,

  • Clinical,

Clinical Experience Using Novel Multidimensional Diffusion Magnetic Resonance Imaging For Characterization Of Tissue Microstructure In Various Brain Pathologies TEACHING POINTS: Multidimensional diffusion...

Move Away HIPAA And GDPR, Here Comes CrypTFlow – Secure AI Inferencing Without Data Sharing

2021-12-01

  • Artificial Intelligence,

  • Clinical,

Move Away HIPAA And GDPR, Here Comes CrypTFlow – Secure AI Inferencing Without Data Sharing TEACHING POINTS: Currently, running Artificial Intelligence (AI)...

All True Positives Are Not Truly Positive – Utility Of Explainability Failure Ratio In A High Sensitivity Screening Setting To Compare Incorrect Localizations Among Algorithms

2021-12-01

  • Artificial Intelligence,

  • Clinical,

All True Positives Are Not Truly Positive – Utility Of Explainability Failure Ratio In A High Sensitivity Screening Setting To Compare Incorrect...

Why Standardisation Of Pre-Inferencing Image Processing Methods Is Crucial For Deep Learning Algorithms – A Compelling Evidence Based On The Variations In Outputs For Different Inferencing Workflow

2022-02-01

  • Artificial Intelligence,

  • Clinical,

Why Standardisation Of Pre-Inferencing Image Processing Methods Is Crucial For Deep Learning Algorithms – A Compelling Evidence Based On The Variations In ...

Model for in-vivo estimation of stiffness of tibiofemoral joint using MR imaging and FEM analysis

2021-07-19

  • Artificial Intelligence,

  • Clinical,

Model For In-Vivo Estimation Of Stiffness Of Tibiofemoral Joint Using MR Imaging And FEM Analysis Abstract Background: Appropriate structural and material properties...

Implementation Of Fast Echo-planar Imaging (EPImix) MRI Sequence For Scan Time Reduction In Critical And Unco-operative Patients

2022-02-01

  • Artificial Intelligence,

  • Clinical,

Implementation Of Fast Echo-Planar Imaging (EPImix) MRI Sequence For Scan Time Reduction In Critical And Unco-Operative Patients​ PURPOSE OR LEARNING OBJECTIVE: To...

Enhanced separation of brain tumors and edema via diffusion tensor distribution imaging: Illustration with lymphoma cases

2022-02-01

  • Artificial Intelligence,

  • Clinical,

Enhanced Separation Of Brain Tumors And Edema Via Diffusion Tensor Distribution Imaging: Illustration With Lymphoma Cases PURPOSE OR LEARNING OBJECTIVE: To investigate...

Estimation of bias of deep learning-based chest X-ray classification algorithm

2022-02-01

  • Artificial Intelligence,

  • Clinical,

Estimation Of Bias Of Deep Learning-Based Chest X-Ray Classification Algorithm​ PURPOSE OR LEARNING OBJECTIVE: To evaluate the bias in the diagnostic performance ...

Using Traditional Machine Learning Techniques for Predicting the Best Clinical Outcomes On Improvement In Vas, Mod And Ncos Based Upon Clinical And Imaging Features

2022-02-01

  • Artificial Intelligence,

  • Clinical,

Using Traditional Machine Learning Techniques for Predicting the Best Clinical Outcomes On Improvement In Vas, Mod And Ncos Based Upon Clinical And...

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