AI/ML

Lobectomy and Mental Illness

By studying nationwide hospital admission data in the HCUP-NIS repository, of the people who have undergone lobectomy while also having severe mental illness diagnoses, we have developed a predictive algorithm for the length of stay and cost of stay. A provisional patent with the USPTO has been filed for this process. For more information on this, please read our white paper below.

Readmission of Lung Cancer patients

According to our research of diagnoses and various socioeconomic characteristics of lobectomy patients, we have developed an algorithm to predict the likelihood of readmission after a lobectomy.  We have studied various factors such as Medicare, patient’s age, gender, wage index and the population category of the patients along with their diagnosis code groups and many other features contribute to the classification for re-admission.  Please read our white paper below for more information on our approach and the data used.

AI in Medical Imaging

Obesity has become a chronic medical condition internationally, deserving of increased medical attention and research. One recent development within obesity research is interest to improve efficiency and accuracy of the calculation of the Visceral Fat Index (VFI) obesity measure. VFI calculates the overall composition of the body by measuring the adipose tissue that lies between organs in the torso and is currently manually calculated by physicians through a visual analysis of CT scans. This manual process involves locating the slice image at the third lumbar vertebra (L3) level in the spine before computing the VFI in that location of the body. In this white paper, we address the automatic detection of the L3 slice from CT scans.

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Train Delay Prediction with AI/ML in the Transportation sector

Delay in train arrivals is a common phenomenon and it needs to be efficiently managed to minimize any time delay for passengers waiting to commute in a train.

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Generative AI Bot for Citizen Services

Our Generative AI chatbot solution enhances citizen services for federal, state, and local governments by transforming traditional keyword-based searches into intelligent.

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Generative AI Bot for Citizen Services

Our Generative AI chatbot solution enhances citizen services for federal, state, and local governments by transforming traditional keyword-based searches into intelligent.

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Predictive Maintenance with Databricks and AI

Railroad organizations today face increasing pressure to improve on-time performance, reduce equipment downtime, and optimize maintenance operations. Traditional approaches rely on reactive or scheduled maintenance, which often leads to unnecessary costs, service interruptions, and inefficient use of resources.

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Generative AI Bot for Citizen Services

Our Generative AI chatbot solution enhances citizen services for federal, state, and local governments by transforming traditional keyword-based searches into intelligent.

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AI Predictor for Lobectomy Patients

Lung cancer is the number one cause of cancer-related deaths worldwide. Patients with severe mental illness (SMI) are a group who are overrepresented in the lung cancer population.

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Solving the Readmission Problem

The Hospital Readmissions Reduction Program (HRRP) by the Centers for Medicare & Medicaid Services (CMS) supports the national goal of improving healthcare for Americans.

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AI in Medical Imaging

These analysts predicted 75 percent of healthcare delivery organizations will invest in an AI capability to explicitly improve either operational performance or clinical outcomes by 2021.

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