Use Cases

Description: Prediction of hematologic cancers through AI to enhance the precision and efficiency in early detection and management of blood cancers. Problem Hematologic...

Description: 30% of patients with diabetes develop disease-related complications. AI-based assistants offer personalized recommendations to improve habits. Problem Diabetes...

Description: Artificial Intelligence is crucial in enhancing price accuracy in medical device companies, consumer healthcare enterprises, and pharmaceutical...

Description: Early detection and personalized treatment of prostate cancer. Problem Prostate cancer remains a major public health problem, being one of the most prevalent...

Description: Diagnosing rare diseases is difficult and time-consuming, and there is often no cure. AI improves diagnosis and treatment for patients. Problem It is estimated...

Description: Increase appointment attendance rates, reduce the financial burden of no-shows, and improve the health outcomes with Artificial Intelligence. Problem Nationally,...

Description: AI-based models can accurately predict which patients are most likely to experience adverse events. Problem Remote patient monitoring (RPM) presents a key...

Description: Ask questions and get the latest medical research with this AI research assitant, improve patient care and stay up-to-day. Problem Staying updated with the latest...

Description: Predict stock levels to optimize inventory management, anticipate demand for finished products and reduce costs. Problem The pharmaceutical industry is...

Description: Automate note-taking for doctors, save time, cut down on mistakes, and guarantee precise records. Problem The process of documenting detailed information about the...

Description: Automate note-taking for doctors, save time, prevent mistakes, and guarantee precise records. Problem The process of documenting detailed information about the...

Description: Summarize and understand key insights in medical research with AI, saving time and enhancing patient care. Problem Healthcare professionals are often challenged to...

Description: AI systems can use past trends and market signals to forecast demand. Problem In the pharmaceutical industry, supply chain management (SCM) aims to ensure that...

Description: Telehealth is cost-effective and frequently able to address patient health needs without escalation to more resource-intensive services. Problem Telehealth is...

Description: Addressing challenges in triage services with AI by automating tasks and reducing waiting times in waiting lists and administrative burden. Problem Triage and...

Description: Cervical cancer prediction with AI to improve efficiency of early detection and diagnosis. Problem Cervical cancer is a leading cause of morbidity and mortality...

Description: AI offers educational support tools for doctors in their daily basics to efficiently manage patients. Problem Physicians face an overwhelming andconstantly growing...

Description: Summarize patient data and get concise information based on medical history Problem In Argentina, 33% of a physician’s time  during consultations is spent...

Description: Poor medication adherence causes 125k deaths, 10% hospital admissions, costs $300B yearly. AI can boost adherence, reduce risks. Problem Poor medication adherence...

Description: AI can help healthcare organizations (HCOs) identify individuals at-risk for developing Metabolic syndrome (MetS). Problem Metabolic syndrome (MetS) is a cluster...

Description: Operational efficiency determines profitability for healthcare organizations (HCOs), AI boosts productivity up to 44%. Problem Today’s healthcare organizations...

Description: Automated Inventory Management, order routing, demand forecasting and Supply Chain Optimization with AI. Problem Order management in the pharmacy context refers to...

Description: Prior Authorization causes delays in medical attention and increases administrative burden. Improve overall healthcare system efficiency with AI. Problem The prior...

Description: AI in early gastric cancer detection to reduce mortality and economic burden. Problem Gastric cancer is one of the leading causes of cancer-related deaths...

Description: Access to the market in the pharmaceutical industry refers to identifying, evaluating, and taking advantage of market opportunities effectively. Problem Access to...

Description: Readmitted patients are often clinically unstable at the time of transfer, AI ensures the transition to skilled nursing facilities goes smoothly. Problem Following...

Description: Identify stroke in patients using computer vision Problem Cerebrovascular disease is the fourth leading cause of death among women, the fifth leading cause of...

Description: Advanced AI to Detect Drugs and Adverse Reactions in Text from Social Media. Problem Ensuring drug safety in the healthcare industry is increasingly challenging,...

Description: CVDs cause millions of deaths and high costs; AI can identify high-risk patients, improve care, and reduce expenses. Problem Cardiovascular diseases (CVD) are one...

Description: Approximately 30–40% of all delirium episodes are considered to be preventable, AI identifies high risk patients. Problem Delirium is an acute, fluctuating...

Description: A way to identify patients at risk for ER visits and observation stays, surface modifiable risk factors, and streamline patient outreach. Problem More than 144...

Description: More than one in three patients that prefer palliative care do not receive it. AI ensures patients the quality of life they desire in their final...

Description: Frailty can be managed and reduced between 35 and 45%. Problem Frailty is an aging-related state of decreased physiological reserve that results in increased...

Description: Improve omnichannel engagement with data-driven, personalized approaches. Problem The pharmaceutical industry across different regions is facing a significant...

Description: Hospitals can leverage predictive analytics to identify patients likely to be at high risk of infections or complications. Problem Hospital-acquired conditions...

Description: Identify malaria parasites in blood smears using computer vision Problem Malaria is an acute disease caused by parasites of the genus Plasmodium. Commonly these...

Description: Churn reduces medication adherence and disrupt continuity of care, and patients with coverage interruptions have more emergency department use. Problem Churn is a...

Description: Prevent patients from consuming an overprescribed amount of opioids and predict which patients are likely to suffer from opioid abuse Problem Improve the care you...

Description: Predict the likelihood of various health outcomes by identifying early factors. Problem Accurate medical diagnosis is a crucial aspect of patient care, as it...

Description: Predictive analytics enable practitioners to proactively identify high-risk patients and prevent serious fall-related injuries. Problem A fall is defined as an...

Description: Predict drug adverse effects with Artificial Intelligence, increasing patient health and satisfaction. Problem Adverse drug reactions (ADR) account for 5% to 10%...

Description: Predicting and preventing suicide, particularly through the use of machine learning algorithms Problem Prevent suicides and save lives by predicting ahead of time...

Description: Readmissions are expensive for hospitals. AI identifies who are the most likely to be readmitted to take preventive measures. Problem Hospital readmissions,...

Description: Use patient intake data to predict the length of stay at hospitalization. Problem Annually, U.S. hospitals account for over 35.7 million stays, costing more than...

Description: Urinary tract infections (UTIs) impose significant health and financial burdens, AI allows providers to intervene accordingly. Problem Urinary tract infections...

Description: Lung cancer screening based on various critical lung cancer risk factors, including age, smoking history, and family cancer history. Problem Lung cancer ranks...

Description: Improve adherence rates by 20%-30%, optimize healthcare resources, reduce associated costs and improve patient outcomes. Problem Non-adherence to treatment is a...

Description: Adherence to medical guidelines is a global issue, specially on chronic patients. AI helps medical professionals and patients to follow guidelines. Problem The...

Description: Use clinical variables from the EMR of patients to predict antibiotic resistance. Problem Antimicrobial resistance (AMR) has become a serious global health...

Description: About 1 in 8 women will develop invasive breast cancer throughout their lifetime. Prevent it by identifying potential signs at an early stage. Problem Breast...

Description: AI for COPD early detection and identify high-risk patients. Problem Globally, Chronic Obstructive Pulmonary Disease (COPD) is the third leading cause of death,...

Description: Detect CKD risk from clinical variables and prioritize patients for enhaced care and cost reduction. Problem The median prevalence of CKD in LatinAmerica is higher...

Description: Create tailored clinical plans for patients combining patient cases with medical literature to enhance care and reduce provider workload. Problem Writing...

Description: Predict high-risk diabetes patients for early intervention, reducing complications and costs. Problem Approximately 32 million people in Latin America live with...

Description: Automate note-taking for doctors, save time and cut down mistakes. Problem Between 10% and 15% of medical diagnosescontain errors, with 17% responsible for serious...

Description: An Expert AI Assistant for Writting Insurance Approval Letters. Problem Lengthy approval processes from insurance companies are a barrier to timely medical...

Description: 50% of clinical trials fail due to inadequate designs or implementation errors, learn how AI solves these challenges. Problem Clinical trials are the cornerstone...

Description: Classify diseases, including rare conditions with few samples, ensuring accurate diagnoses and healthcare. Problem Accurate disease classification is essential for...

Description: Detect patients that will have increase rates of mortality and negative obstetric outcomes using clinical variables. Problem The 2020 U.S. maternal mortality rate...

Description: Identify high-risk Heart Failure patients while reducing hospitalizations and costs. Problem Heart Failure (HF) affects approximately 1-2% of the  world's...

Description: Proactively identifying such rising risk patients is important to mitigate future health related costs. Problem It is well documented that a small percentage of...

Description: Nearly 20% of patients are hospitalized again within 30 days, preventing these events is a priority for healthcare organizations Problem Being discharged from the...

Description: Improving the product mix increases competitiveness, customer satisfaction, profitability and efficiency. Problem In the healthcare industry, both the medical...