ByteTrack is a multi-object tracking algorithm. As of writing this blog, it is the SOTA on MOT17 and MOT20 datasets. MOTA and FPS comparisons of different trackers (credits: ByteTrack paper) To completely understand this paper we will divide this post into the following sections: Multi-Object Tracking (MOT) ByteTrack algorithm and implementation Results Multi-Object Tracking Multi-object tracking (MOT) aims at estimating bounding boxes and identities of objects in videos. A simple tracking algorithm can involve the following steps. First, we detect the bounding boxes for all the objects ..read more

Have you faced the problem of writing same lines of code for every project? That’s where python packaging come to the rescue. A Python package is nothing but a folder containing some modules inside it. Python packages have made our life easy as we just have to import the functionality we need from the required package. Just imagine if someone had not built those packages, how tedious life of programmers had been. This blog aims to cover the basics and what you need to publish a python package successfully. Structure of the Project To initialize a folder as a Python package we need to create a ..read more

Fluentd is a unified data collector for logging. It allows you to collect logs from wide variety of sources and save them to different places like S3, mongodb etc. It is fairly lightweight and integration to any app should be easy. Fig. 1. Fluentd Architecture. Source In this post, let’s see how to spin up a fluent servers using docker and forward logs from one fluent server to another. We’ll push the logs using fluent-logger python package. As we care about security, we’ll setup TLS encryption and authentication. Complete code is available on github. Spin up fluentd servers Let’s quickly spi ..read more

In this blog, we will unbox qCT-Lung – our latest AI powered product that analyses Chest CT scans for lung cancer. At Qure.ai, we have always taken a holistic approach towards building solutions for lung health. qXR provides automated interpretation of chest X-rays and is complemented by qTrack, a disease & care pathway management platform with AI at its core. qCT-Lung augments our lung health suite with the ability to detect lung nodules & emphysema on chest CTs and analyze their malignancy. It can quantify & track nodules over subsequent scans. qCT-Lung is a CE certified product ..read more

Why an agile monitoring and management system is the need of the hour The world is seeing unprecedented times. Two relentless years of a pandemic is enough to break even the strongest healthcare systems, that along with the current efforts to ramp up vaccinations and clinical care has resulted in most countries public health system being strained or barely functional. Such accelerated development and roll out of multiple vaccines, is a first for any disease.It is important that each of these vaccines and its effects are monitored for substantial periods of time to understand short term and l ..read more

Stroke is a leading cause of death. Stroke care is limited by the availability of specialized medical professionals. In this post, we describe a physician-led stroke unit model established at Baptist Christian Hospital (BCH) in Assam, India. Enabled with qER, Qure’s AI driven automated CT Brain interpretation tool, BCH can quickly and easily determine next steps in terms of treatment and examine the implications for clinical outcomes. qER at a Stroke unit Across the world, Stroke is a leading cause of death, second only to ischemic heart disease diseases. According to the the World Stroke O ..read more

vRad, a large US teleradiology practice and Qure.ai have been colloborating for more than an year for a large scale radiology AI deployment. In this blog post, we describe the engineering that goes into scaling radiology AI. We discuss adapting AI for extreme data diversity, DICOM protocol and software engineering. vRad and Qure.ai have been collaborating on a large-scale prospective validation of qER, Qure.ai’s ICH model for detecting intracranial hemorrhages (ICH) for more than a year. vRad is a large teleradiology practice – 500+ radiologists serving over 2,000 facilities in the United St ..read more

When the COVID-19 pandemic hit Mumbai, one of the most densely populated cities in the world, the Municipal Corporation of Greater Mumbai (MCGM) promptly embraced newer technologies, while creatively utilising available resources. Here is a deeper dive into how the versatility of chest x-rays and Artificial Intelligence helped the financial capital of India in efforts to containing this pandemic. The COVID-19 pandemic is one of the most demanding adversities that the present generation has had to witness and endure. The highly virulent novel Coronavirus has posed a challenge like no other to ..read more

When the pandemic hit the world without discretion, it caused health systems to crumble across the world. While a large focus was on strengthening them in the urban cities, the rural areas were struggling to cope up. In this blog, we highlight our experience working with some of the best healthcare centers in rural India that are delivering healthcare to the last mile. We describe how they embraced AI technology during this pandemic, and how it made a difference in their workflow and patient outcomes. 2020 will be remembered as the year of the COVID-19 pandemic. Affecting every corner of the ..read more

In March 2020, we re-purposed our chest X-ray AI tool, qXR, to detect signs of COVID-19. We validated it on a test set of 11479 CXRs with 515 PCR-confirmed COVID-19 positives. The algorithm performs at an AUC of 0.9 (95% CI : 0.88 - 0.92) on this test set. At our most common operating threshold for this version, sensitivity is 0.912 (95% CI : 0.88 - 0.93) and specificity is 0.775 (95% CI : 0.77 - 0.78). qXR for COVID-19 is used at over 28 sites across the world for triaging suspected patients with COVID-19 and to monitoring the progress of infection in patients admitted to hospital The emerg ..read more