The Deep Learning AI model showed a 25% reduction of false positives in localize & metastasis detection
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 needed a digital engineering partner to address the key challenge of early diagnosis of the disease to assist clinical practice. The client required a solution that could analyze the collected structured data such as physical exam results, symptoms, basic metrics, medications, disease-specific data, diagnostic imaging, gene expressions, and different laboratory testing for the rapid identification, precise and early diagnosis of disease in patient to facilitate subsequent clinical patient management. Furthermore, it needed a solution for the identification of Diabetic Retinopathy, Metastasis detection and Cardiovascular Risk Factors prediction. The current diagnosis was cost-intensive, error-prone and was based upon one or a few doctors’ opinions.
A framework to automatically detect and localize tumors
Trained the AI model on a pre-sampled set of image patches
Trained a random forest classifier for identification and prediction
Pixel-accurate annotation renders detection and localization
Sparity’s extensive experience in large healthcare organizations allowed it to gain insight into the customer’s requirements immediately and developed a deep-learning AI model with convolutional neural network (CNN) architecture and deep learning algorithms of Artificial Intelligence to analyze the medical data based on their presented symptoms and genetic history. As part of the solution, deep-learning system churns through different kinds of large data sets, such as CT scans, genetic sequences and treatment histories for prediction, screening, analysis, and interpretation of tumor-imaging and drug discovery and validation in clinical settings. Furthermore, the solution’s advanced pattern recognition capabilities make it more capable of spotting anomalies than most human healthcare professionals assisting them in early diagnosis, enhancing physicians’ diagnostic skills, help clinical decision making and offer advanced treatment plans.
Detection sensitivity increased to 60% while cutting detection time by half
Reaching large number of patients and foster long-term relationships
60% increase in early and accurate detection in localize & metastasis cases
15% reduction in cost while accommodating more requests
The impact we’ve had
At Sparity, we’ve served as a strategic partner for hundreds of the fastest-growing B2B companies.
Learn more about how we help our clients accelerate their growth.