The healthcare client aspired to revive and enhance its diagnosis and screening approach and chose Sparity for developing a solution that would enable early and accurate diagnosis, thus advancing effective treatment.

The Healthcare client is highly renowned multi-specialty facility that offers tertiary and quaternary care services, highly specialized treatments along with exceptional and compassionate patient care. Driven by innovative clinical research, cutting-edge technologies, modular operation theatre, modernized monitoring systems and advanced treatments, including targeted therapies, genomic-based treatment and immunotherapy offer highly sophisticated diagnostic and treatment options to the patients who visit them. The healthcare client brings together a variety of wellness care, diagnostic, and treatment services, all provided within a single location.

Computer Vision with Deep Learning to Identify Risk Factors

Overview

The healthcare client was looking for a solution that could address their severe need for effective diagnosis of screening results where the naked human eye could miss the early signs of cancer. They needed a solution that could initially detect screening results and offer an accurate diagnosis. In response, Sparity developed a deep-learning AI model based on convolutional neural networks (CNNs) and deep learning algorithms that are capable of visual object detection, that detect patterns against large datasets of images from both healthy and cancerous tissue and further offers metastasis detection to facilitate a more accurate and efficient diagnosis, saving the patient time and speeding up the treatment.

Challenges

The healthcare client was facing challenges with their current diagnosis and screening approach as trained radiologists can miss evidence in screening results —including high false-positive rates and difficulty predicting treatment success. Furthermore, the manual assessment is prone to subjectivity and sometimes error-prone. As early diagnosis and detection will benefit from potentially curative treatment. The healthcare client needed a solution that could analyze the collected structured data and screening test results in specifically identifying early metastasis in screening mammography, early diabetic retinopathy, colonoscopy, prostate-specific antigen, and cervical cytology.

Implementation

Computer Vision with Deep Learning to Identify Risk Factors

Designed the framework
that can automatically
detect patterns and localize tumors

Computer Vision with Deep Learning to Identify Risk Factors

Trained the AI model
on a pre-sampled
set of image patches

Computer Vision with Deep Learning to Identify Risk Factors

Trained a random forest
classifier for identification
and prediction

Computer Vision with Deep Learning to Identify Risk Factors

Pixel-accurate
annotation renders
detection and localization.

Solution

Sparity’s healthcare product experts, based on initial requirements, developed a deep-learning AI model with convolutional neural network (CNN) architecture with visual object recognition and detection from whole-slide images from the screening results. The accuracy of various computer vision tasks such as image recognition, object detection, and semantic segmentation is greatly enhanced by the use of CNNs. The deep learning model used an image segmentation approach where images were broken down into multiple segments to make them easier to analyze. The algorithms are trained using a vast database of labelled or pre-identified images and videos of both healthy and cancerous tissue. Furthermore, the deep-learning algorithm searches exhaustively for abnormal patterns and identifies cancer patterns, dramatically reducing the uncertainty of a false negative or missed case of cancer.

Key Deliverables

State-of-the-art sensitivity

 Detection sensitivity increased to 60% while cutting detection time by half

CapEx 

Increased patient reach and fostered long-term relationships with lower capex

Early detection 

60% increase in early and
accurate detection in localize & metastasis cases

Cost effective 

15% reduction in cost
while accommodating
more requests

Let’s Get Started

Interested in implementing digital transformation in your healthcare organization?  

Related Case Studies

Startup launches innovative low code platform using on-demand developers

Client is a digital marketing agency based in Denver which offers Paid Search Advertising, ...
Read More >>

Health and Wellness firm utilizes specialized talent

Client is a digital marketing agency based in Denver which offers Paid Search Advertising, ...
Read More >>

Health-tech startup productizes patient engagement software

Client is a digital marketing agency based in Denver which offers Paid Search Advertising, ...
Read More >>

Superior Asset Tracking System using RTLS

Client is a digital marketing agency based in Denver which offers Paid Search Advertising, ...
Read More >>

IoT-based Remote Health Monitoring System Using Mobile App

Client is a digital marketing agency based in Denver which offers Paid Search Advertising, ...
Read More >>

Real Estate Firm Accelerates Product releases with API Testing Solution

Client is a digital marketing agency based in Denver which offers Paid Search Advertising, ...
Read More >>

AI Based News Analytics Solution for Hyper Personalized Investment Recommendations

Client is a digital marketing agency based in Denver which offers Paid Search Advertising, ...
Read More >>

Revamped Staff Performance Assessment Solution for a Healthcare Firm

Client is a digital marketing agency based in Denver which offers Paid Search Advertising, ...
Read More >>

Martech Firm Leverages Azure Data Lake for Unified Customer View

Client is a digital marketing agency based in Denver which offers Paid Search Advertising, ...
Read More >>

Migrating Monolithic Application to Microservices for one of the Big 4 Consulting Firms

The client is one of the Big 4 consulting firms that provide professional services like ...
Read More >>

Ecommerce client cuts time-to-market by 50% with Azure DevOps solution

The eCommerce client is a US-based manufacturer that operates and ships its products across.....
Read More >>

Digital Disruption in Retail through Digital Transformation

The Retail client approached Sparity with an intent to digitally transform their online platform to…
Read More >>