Global maternal mortality is an unacceptably high 810 deaths per day, primarily from preventable or treatable causes – World Health Organization
We are facing a global maternal and infant health crisis, and a significant portion of these adverse events can be prevented by early detection of risks and intervention. Detecting patterns early by using AI and advanced computational sciences is key to transforming sick care into proactive care.
CognitiveCare’s Maternal & Infant Health Insights and Cognitive Intelligence “MIHIC” solution takes heterogeneous patient-level data such as clinical, medical, socioeconomic factors, family history, genetics, and EHR data and applies advanced math, statistics, and AI techniques to predict risk scores.
The platform calculates the overall risk score, stratifies into low, medium, or high risk, and outputs the risk progression timeline. These risk scores are updated in real-time and are powered with explainable AI. Healthcare constituents receive the in-depth rationale (medical, clinical, and SDoH) behind risk scores, enabling hyper-personalization and advanced cohort development for triaging and case management. MIHIC’s what-if analysis empowers healthcare stakeholders to assess the impact of clinical and behavioral interventions, while its alert system provides notifications across care teams for effective risk management.
Our solution also provides Population Health Insights that enable policymakers and public health officials to obtain real time key health indicators, including disproportionate impacts on communities.
The global increase in premature births has fueled a rise in Retinopathy of Prematurity (RoP), a leading cause of preventable blindness in infants and children worldwide.
Furthermore, it is projected that the myopia epidemic will affect 50% of the global population by 2050. By harnessing the power of pattern detection using advanced techniques of Artificial Intelligence and Machine Learning algorithms that leveraging Data Analytics and Digital Tools, our models are supporting the early detection of eye diseases and adverse eye conditions. Our work aims to identify newborns at risk of RoP and Myopia, predict rate of progression, and quantity risk severity in infants through adults.
Chronic conditions are a serious global health concern, causing nearly 3 in every 4 deaths worldwide. Yet, chronic conditions can largely be controlled, delayed, or even prevented. With hundreds of millions of lab reports generated each year, longitudinal data can be utilized to produce meaningful and actional insights. CognitiveCare’s AI Platform aims to support healthcare stakeholders in quantifying health risks for conditions impacting Heart, Kidney, Liver, Lungs, Ortho and Diabetes – ultimately empowering people with knowledge to live healthier lives.
AI and systems biology can converge to help combat infectious diseases, particularly for vulnerable populations. Our work supports drug discovery, infection biology, diagnostics, and predictions of adverse outcomes at patient and population levels.
One such adverse outcome – Sepsis – claims the lives of 11 million people annually, making it the primary cause of hospital deaths and the third leading cause of death in the US. This life-threatening condition arises from infection-induced damage to the body's tissues and organs, often resulting in organ failure, amputation, disability, and death. Prevention and early treatment are vital to reducing sepsis fatalities. CognitiveCare's innovative AI solutions include deep learning-based competing risk survival models for predicting sepsis patient outcomes and multi-state competing risk survival models for patients admitted in hospital settings with suspected sepsis.
