Back

Healthcare

AI and the Internet of Medical Things (IoMT) for Preventative Healthcare

AI and the Internet of Medical Things (IoMT) for Preventative Healthcare

Faster Development Of Drugs Using Machine Learning

Faster Development Of Drugs Using Machine Learning

Revolutionizing Remote Patient Monitoring with AI

Revolutionizing Remote Patient Monitoring with AI

Improved Identification of Brain Tumors Using Deep Learning and Computer Vision

Improved Identification of Brain Tumors Using Deep Learning and Computer Vision

Machine Learning for Effective Diagnosis of Diseases

Machine Learning for Effective Diagnosis of Diseases

Patient Pre-Screening With Machine Learning and NLP

Patient Pre-Screening With Machine Learning and NLP

We use cookies to give you the best experience. Cookie Policy

Advanced AI-Driven Back-Office Process Automation

The Problem Every organization has back-office operations that have to be dealt with a day-to-day basis. These tasks may include: accounting, payroll, purchase order processing, data entry,...

View Project

Analytics Driven Decision Making

The Problem Organizations have large volumes of data related to different aspects regarding their business coming in from multiple sources. It is impossible for humans to process...

View Project

Rapid Document Digitization with NLP

The Problem To be able to derive analytics from data it is first required to collect and organize data in a digital format. Doing this task manually...

View Project

AI and the Internet of Medical Things (IoMT) for Preventative Healthcare

The Problem The market is flooded with wearable fitness and medical devices such as Apple Watch, Fitbit, Garmin and more, which consists of sensors for monitoring various...

View Project

Faster Development Of Drugs Using Machine Learning

The Problem Developing a new medicine to successfully treat a disease could take years of research. It is estimated that developing a new treatment takes an average...

View Project

Revolutionizing Remote Patient Monitoring with AI

The Problem Remote Patient Monitoring (RPM) has been around for some time now. Conventional RPM involves using a remote camera to monitor patients remotely. While this can...

View Project

Improved Identification of Brain Tumors Using Deep Learning and Computer Vision

The Problem Clinicians generally use MRIs and biopsies for diagnosis of brain tumors. While biopsies are considered the standard to help identify the type of tumor, they...

View Project

Machine Learning for Effective Diagnosis of Diseases

The Problem It takes clinicians several years of medical training to correctly diagnose diseases. Diagnostics is a laborious and time-consuming process. Often, the demand for experts far...

View Project

Patient Pre-Screening With Machine Learning and NLP

The Problem Patient pre-screening adds value even before a patient arrives at a medical facility to seek care. However, the current methods of pre-screening, which mostly consists...

View Project