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Deep learning-based architecture for detection of tuberculosis in digital chest radiography: our experience in the Indian scenario

 Presentations 

 

 

At Events:-

X-Ray
Automated calculation of cardiothoracic ratio from chest radiographs for detection of cardiomegaly.
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Examining an X-Ray
Automated detection of tuberculosis in radiographs for population-based screening programs
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Coding
Role of edge device as screening point-of-care solutions using imaging diagnostics for population screening.
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Image by Volodymyr Hryshchenko
Automated detection of cOVID-19 from chest CT Scans using deep convolutional neural networks.
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Image by Anna Auza
Automated convolutional neural network grading of knee osteoarthritis on the Kellgren-Lawrence Scale from radiographs in indian population.
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Society of Thoracic Radiology 2021:

2nd International Conference on Deep Learning, Artificial Intelligence and Robotics, (ICDLAIR) 2020 :

European Congress of Radiology (ECR) 2020:

Brain Scans
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Brain tumor segmentation on a curated dataset using deep learning tools- workflow implications.  

Indian Radiological and Imaging Association (IRIA) 2020:

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Liver tumor segmentation on a curated dataset using deep learning tools- potential implications.  
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Computer Programming
Survey of personalization techniques for federated learning.
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Guest Lectures:

SIIM AI GLOBAL TRACK 2021

In a short span of time Deeptek has been able to be a part of various worldwide events; (oral presentations, and guest lectures) discussing various aspects of AI in healthcare. Listed below is a gallery of the company's participation history in some of the esteem events with topics.

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Role of new-age technologies of artificial intelligence and machine learning in the pandemic of tuberculosis and covid 19– lessons learned
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Image by H Shaw
Deep convolutional neural network assisted detection of COVID - 19
on chest CT
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Deep convolutional neural networks for detection of cardiomegaly through the calculation of cardiothoracic ratio from chest radiographs
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X-Ray
Automated detection of tuberculosis in radiographs for population-based screening programs
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Shoulder stand in yoga class
Automatic grading of knee osteoarthritis on the Kellgren-Lawrence Scale from radiographs using convolutional neural networks
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AI in the pandemic management of TB and Covid

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Exploring strategies and opportunities for professional development

Foot Muscles Model
Role and impact of Artificial  Intelligence in musculoskeletal radiology
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1.To understand how and where AI will be used in MSK
2. Timelines to full-scale adoption of AI in MSK
3. To study the impact of these solutions in a day-to-day practice.

Doctor Using Digital Tablet
Artificial  Intelligence:- a dummies guide for radiologists

Possibilities and likelihoods with case studies

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Entrepreneurship in medical artificial intelligence
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Big data and the future of radiology informatics.

Tata Memorial Centre :

Consortium of Universities for Global Health:

The Union:

Asian Oceanian Congress of Radiology 2018-19

Ultrasounds
Medical (Imaging) Community Presentation for awareness of the benefits of AI for radiologists and caregivers.
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KM RAI Oration at Asian Oceanian Congress of Radiology 2018-19.
Exploring recent changes in medical image analysis – is the future of radiology
finally here.

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Addressing Critical Gaps in Global Health and Development
Computer Games
Artifical Intelliegence is real
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Malaysia Medical Association, Penang

22nd Teaching Conference. 13TH to 16TH September 2019

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Artificial Intelligence: how does it change MRI reporting?

Dr. Suren Vadilal Kothari Memorial Oration .
19th MRI Teaching Course
.  15th August 2020.

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Artificial  Intelligence in automating workflows and
improving turnaround 

Event by Molecular Society of India.

molecularimaginganewfieldforanewworld-15
Home Nurse Examining Patient
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Cascading model architecture of convoluted neural networks to Improve performance of pathology detection in digital chest X-rays.
Drive-through Testing
Automated detection of covid-19 in chest x-rays for instant triage
in hospital settings and interaction with structured report generation
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Chest Cavity
Leveraging neural networks and imaging experts in loops for automated tuberculosis screening using chest radiographs in population screening programs to ensure efficient workflows
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The 52nd Union World Conference on Lung Health:

American Roentgen Ray Society (ARRS) 2021:

KCR 2021:

CT Scan Machine
Gauging the severity of Covid-19 using computer-aided tools in hospital settings from assessment of digital chest radiographic findings and patient’s clinical parameters
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19th AOCR Malaysia 2021:

Doctor with Mammography
Computation of cardiothoracic ratio utilizing a deep learning model
– An analysis of large dataset of 1170 chest radiographs.
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Image by Terry Shultz
Predict severity of knee arthritis from AP knee radiographs using
deep learning
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ESSR MSK 2021:

Child Physiotherapy
Automatic grading of knee osteoarthritis on the Kellgren-Lawrence Scale from radiographs using convolutional neural networks.
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10th International Conference on Pattern Recognition Applications
and Methods

Sneezing
Deep Convolutional Neural Network assisted detection of COVID - 19
on chest CT
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The Union 2021:

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An automated deep learning based approach for a two for one screening
of Tuberculosis and COVID 19
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Musculoskeletal Society

Image by BATCH by Wisconsin Hemp Scientific
Convergence of Conventional radiology and Artificial Intelligence in Assessment of Knee Osteoarthritis Through assessment of Nearly 5500 Digital Kne e Radiographs Atribute to changing times.
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American Roentgen Ray Society (ARRS) 2022:

Image by Matteo Jorjoson
Deep Learning (DL) Assisted Detection of Covid-19 Pneumonia in Chest Radiographs: A Comprehensive Study of 2025 Patient Datasets, has been accepted for oral presentation at the 122nd ARRS Annual meeting.
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Institution of Engineers (India) [IEI]

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 Real world deployment of AI in Medical Imaging

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Date 20th Nov 2021

SIIM AI GLOBAL TRACK 2021

Image by Matteo Jorjoson

Role of AI in medical imaging for the pandemics of TB and Covid 19

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Session Title: AI Clinical Value 

25th May 2021

Society of Thoracic Radiology 2022:

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A Multi-Reader Comparison of a Deep Learning (DL) Based Algorithm to Detect Covid-19 Pneumonia in Chest Radiographs, has been accepted for an E-POSTER Presentation at STR Annual meeting and Postgraduate course being held on March 19-23, 2022 
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