Segregation of normal chest radiographs from abnormal chest radiographs using DeepTek AI: retrospective and prospective analyses
Advances in Deployment of Digital Chest X-ray AI for Tuberculosis Screening and the road ahead.
A Deep Learning Model for detection of COVID-19 in Digital Chest Radiographs
A clinical evaluation study employing a deep learning approach to calculate cardiothoracic ratio from chest radiographs
Deep learning-based Automatic Detection of Pulmonary Nodules on Chest Radiographs
The study reported that each CAD software (total 3 evaluated including Genki v2) performed similarly and achieved less than 5% loss of TB yields.
Leveraging Neural Networks and Imaging Experts in Loops for Automated Tuberculosis Screening Using Chest Radiographs in Population Screening Programs to ensure efficient workflows
Automated detection of covid-19 in chest x-rays for instant triage in hospital settings and integration with structured report generation
Automated detection of Tuberculosis in Radiographs for Population based screening programs
Innovative application of artificial intelligence pre-screen COVID-19 from digital chest radiographs - our experience in a tertiary car setup
Segregation of normal chest radiographs from abnormal chest radiographs using DeepTek AI: retrospective and prospective analyses
Advances in Deployment of Digital Chest X-ray AI for Tuberculosis Screening and the road ahead.
A Deep Learning Model for detection of COVID-19 in Digital Chest Radiographs
A clinical evaluation study employing a deep learning approach to calculate cardiothoracic ratio from chest radiographs
Deep learning-based Automatic Detection of Pulmonary Nodules on Chest Radiographs
An Automated Deep Learning-Based Approach for Grading the Severity of Knee Joint Space Narrowing from Plain Radiographs
A Deep-Learning Based Approach to Automatically Detect Pulmonary Embolism on Computed Tomographic Pulmonary Angiograms
The study reported that each CAD software (total 3 evaluated including Genki v2) performed similarly and achieved less than 5% loss of TB yields.
Leveraging Neural Networks and Imaging Experts in Loops for Automated Tuberculosis Screening Using Chest Radiographs in Population Screening Programs to ensure efficient workflows
Automated calculation of Cardiothoracic ratio from Chest radiographs for detection of Cardiomegaly.
Automated Convolutional Neural Network Grading of Knee Osteoarthritis on the Kellgren-Lawrence Scale from Radiographs in Indian Population.
Deep Convolutional Neural Networks for detection of Cardiomegaly through calculation of Cardiothoracic Ratio from Chest Radiographs
An automated deep learning-based approach for a two-for-one screening of Tuberculosis and COVID-19
Automatic grading of knee osteoarthritis on the Kellgren-Lawrence Scale from radiographs using convolutional neural networks.
Predict severity of knee arthritis from AP knee radiographs using deep learning
Computation of cardiothoracic ratio utilizing a deep learning model – An analysis of large dataset of 1170 chest radiographs.
A Deep Learning Model to Assist the Triage of Patients at Risk of Pulmonary Embolism from CT Pulmonary Angiograms
An AI-Powered Algorithm to Automatically Detect Pulmonary Embolism on Computed Tomographic Pulmonary Angiography
Artificial Intelligence for automated assessment of chest CT severity scores in patients with suspected COVID-19 infection
Symposium on Artificial Intelligence in Imaging Session Title:- Applications of Al in CAD (computer-aided designing) technology by Dr. Amit Kharat
ymposium on Artificial Intelligence in Imaging Session Title:- Deep Learning in Medical Imaging: A Solution for the Data by Dr. Amit Kharat
Use of Digital Technology to Enhance Tuberculosis Control
Role of AI in medical imaging for the pandemics of TB and Covid 19 Session Title: AI Clinical Value
Real world deployment of AI in Medical Imaging
AI in the pandemic management of TB and Covid
Medical (Imaging) Community Presentation for awareness of the benefits of AI for radiologists and caregivers.
Artifical Intelliegence is real
Artificial Intelligence: how does it change MRI reporting?
Role and impact of Artificial Intelligence in musculoskeletal radiology
Artificial Intelligence in automating workflows and improving turnaround