top of page

White Papers

X-Ray

DxNodule AI Screen:  

Improved lung nodule  detection for an efficient  workflow

DxNodule AI Screen is a state-of-the-art Acritical Intelligence solution
that detects lung nodules on digital chest radiographs with an AUC of
90.5%

04-07-2022

Connecting Dots

A deep-learning model for rapid quantification of cardiothoracic ratio (CTR)

Our model demonstrated high specificity in determining CTR from chest radiographs.

06-07-2022

AdobeStock_385705593.jpeg

Improvement in reader sensitivity
and chest radiograph interpretation time using DeepTek AI Platform - a dual center study of 4476 radiographs

DeepTek AI is a state-of-the-art Artificial Intelligence solution that analyzes digital chest radiographs for the absence or presence of chest pathologies.

09-11-2022

Image by CDC
Deep Learning CT Chest AI Models For Tuberculosis

Dataset Shift and Model Decay
 

24 November 2021

​

One of the important steps in the
process of TB elimination is its
early and reliable diagnosis. DeepTek’s tools, powered by AI, have the capability to scan CT studies & identify the common
manifestations in TB.

Artificial Intelligence
Technology for ICU Workflow

Artificial Intelligence 
Technology for ICU Workflow

12 Oct 2020

​

No upfront costs and overheads are required. Hospitals can increase capacity without
investing in expensive technologies.

Doctor Examining CT Scan

Teleradiology

12 Oct 2020

​

Teleradiology is one of the most successful components of telemedicine. It uses various technologies such as Digital Imaging and Communications in Medicine (DICOM),

Teleradiology

Genki for Public Health Screening

Genki for Public Health Screening


1 Oct 2020

​

Genki is an entire suite of artificial intelligence (AI) CXR triage solutions that can identify 20+ conditions like tuberculosis (TB), COVID-19, pleural effusion, consolidation, lung nodule, lung mass, etc., from an X-ray of the chest.

Artificial Intelligence for Knee Osteoarthritis

​

1 July 2020

​

Automated grading of Osteoarthritis on the Kellgren-Lawrence scale from knee radiographs

Artificial Intelligence for Knee Osteoarthritis

Lungs Sketch

Automated  Detection and Quantification of the Severity of Lung Involvement in COVID-19 & community-acquired pneumonia

We developed and validated a deep learning model capable of identifying COVID-19 from Chest CT scans.

09-11-2022

Image by Agustin Fernandez

Automatic Detection and  Grading of Knee Joint  Space Narrowing

We developed an AI solution that detects and grades joint space narrowing in digital knee radiographs.

04-07-2022

Doctor with Mammography

DxCOVID: Detecting  COVID-19 from Chest  Radiographs

 We developed and validated a deep learning model (DxCOVID)  

that can detect COVID-19 pneumonia patterns from digital  

chest radiographs

04-07-2022

Image by Markus Spiske
Dataset Shift and Model Decay

Dataset Shift and Model Decay
 

8 March 2021

​

Supervised learning is the most commonly applied form of machine learning for medical
imaging. It works in two stages.

Covid –19

Covid –19

12 Oct 2020

​

Effective and speedy screening
of COVID-19 infected patients is extremely crucial not only for isolating the patients to
decelerate the spread of the virus but alsoto provide timely treatment with efficacy.

Doctor with Mammography

Genki – A Solution for fight against TB

1 Oct 2020

​

The Genki platform is a secure and compliant web-based framework that includes an AI-based toolfor prescreening and diagnosing the underlying chest pathology and rapidly generating the radiology
report.

Genki – A Solution for fight against TB

Artificial Technology for Tuberculosis

5 July 2020

​

Leveraging Deep Learning for automated screening of pulmonary Tuberculosis

Artificial Technology for Tuberculosis

Stock Market Data

Data and Model Performance

​

29th Nov 2019
 

Machine learning is a form of artificial intelligence that provides software systems the
ability to automatically learn how to perform a task and improve from experience without being explicitly programmed to do so.

Data and Model Performance

 2020

​

​

Augmenting Experts

bottom of page