Beyond AUROC: Incorporating localization information using the Free-Response ROC paradigm
Aalhad Patwardhan INTRODUCTION: Receiver Operating Characteristic (ROC) is a widely used metric to assess the performance of binary...
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- Sep 16, 2022
- 5 min
A Deep Learning Model for Diagnosis of Pulmonary Embolism from CT Pulmonary Angiography
Yash Pargaonkar Background: Clotting of blood is a normal physiological phenomenon to prevent excessive bleeding from an injured blood...
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- Sep 6, 2022
- 3 min
Leveraging Different Computer vision types, examples, and applications
Ilina Navani AI-based image processing is a key operation in recognizing and extracting useful information from an image. It involves...
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- Aug 23, 2022
- 5 min
DxNodule AI Screen: An Artificial Intelligence-based method to detect pulmonary nodules on chest rad
By Dhruv Shetty Introduction Pulmonary nodules are common radiological findings observed in the day-to-day practice of a radiologist....
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- Aug 23, 2022
- 4 min
Overfitting in Machine Learning Processes and its Relevance in RadiologyPractice
Ilina Navani When clinically deploying AI models to radiology, obstacles are often faced in the generalizability of these models in the...
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- Aug 23, 2022
- 4 min
Adoption of ‘Responsible AI’ in Medical Imaging
Ilina Navani In recent years, AI has gained the great potential to increase the efficiency and accuracy of many technologies across...
650
- Dec 13, 2021
- 4 min
AI in Healthcare
Yash Pargaonkar Medicine is a continuously evolving, dynamic field aimed at improving patient care. Hospitals, hospital management,...
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- Oct 26, 2021
- 4 min
An Artificial Intelligence based method for predicting COVID-19 mortality using chest X-rays
Yash Pargaonkar COVID-19 is a disease caused by SARS CoV-2 virus that has recently gained attention due to the morbidity, mortality,...
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- Apr 15, 2021
- 3 min
Overwhelmed Medical Imaging Systems Clogged Due to High Demand for CT Chest Screening
High-Resolution CT (also known as HRCT) Chest for COVID-19 screening surged in the latter part of the first wave and is spiking back again..
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- Feb 19, 2021
- 3 min
Automated Detection of Pleural Effusion from Chest X-Rays
Artificial intelligence (AI) is changing the way healthcare services are delivered when it comes to radiodiagnosis. The motive to ensure...
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- Nov 13, 2020
- 4 min
Teleradiology, Enabled by AI
Teleradiology is one of the most successful components of telemedicine. It uses various technologies such as Digital Imaging and...
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- Oct 15, 2020
- 4 min
Introducing DeepTek
At DeepTek, we aim to leverage AI to democratize radiology. Our USP is a close collaboration of experts in machine learning, radiology,...
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- Oct 6, 2020
- 4 min
The Indispensable Expert-in-the-Loop in AI-Based Diagnostic Radiology
In imaging diagnostics, deep learning models are already at par with expert radiologists in the controlled laboratory test environments....
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- Sep 2, 2020
- 4 min
Genki: AI-Powered Screening for a Healthier Society
COVID-19 and TB are two of the biggest challenges in healthcare the world is facing. While COVID-19 is a recent onset pandemic, TB has...
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- Jul 31, 2020
- 4 min
Augmento – A Cloud and AI-Powered Radiology Optimization Platform
Ashrika Gaikwad Augmento ROP is a smart cloud-based platform for radiologists to evaluate and report X-ray, CT, and MRI scans. By...
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- Jul 14, 2020
- 3 min
Diagnosing Cardiomegaly Using CTR Calculated from Chest X-Rays - A Machine Learning Approach
Ashrika Gaikwad Cardiomegaly means enlargement of the heart: the heart muscles thicken, or the chambers become enlarged. Cardiomegaly is...
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- Jul 13, 2020
- 6 min
Taking AI Models from Jupyter Notebooks into Real Hospitals
Viraj Kulkarni Artificial intelligence is showing amazing potential across many domains of healthcare from radiology to patient care....
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- Jul 6, 2020
- 2 min
Detecting COVID-19 from Chest CT Scans Using Convolutional Neural Networks
Detecting COVID-19 from Chest CT Scans Using Convolutional Neural Networks.
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- Jul 4, 2020
- 8 min
Abnormality Detection in Musculoskeletal Radiographs Using Deep Learning
Rohit Lokwani A brief overview of Medical image Analysis, techniques to improve your CNN’s performance on real world datasets Bio-medical...
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- Jul 4, 2020
- 3 min
Federated Learning for Medical AI
Viraj Kulkarni Conventional machine learning works on the paradigm of bringing the data to the code. The data used to train the models is...
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