AI Approaches in Depression Care | Artificial intelligence in mental health

AI Approaches in Depression Care: A case Study of Technology in Practice

***Admission is $10 until March 15th and $20 thereafter including at the door ***

MARCH (http://destination.ai/) and MATTER (http://matter.health) are pleased to present this program that explores practical applications of artificial intelligence in mental health.This collaboration is part of MATTER’s Health Data Immersion program and MARCH’s Health + AI applied enterprise healthcare series leading up to Chicago AI Days (http://www.chicagoaidays.com/) this summer.

This program, bringing together MARCH's AI community, and MATTER’s Healthcare community, features Casey Bennett (https://www.youtube.com/watch?v=3LkbUxqGTfo)of Raiven Healthcare (http://raivenhealth.com/). Casey will present a case study of how one health system took on the challenge of implementing AI solutions within their ACO, how this technology was applied to understand patients diagnosed with depression and mental health disorders, and the insights that were derived in order to create clinically relevant solutions.

AI technologies are rapidly being evaluated across various sectors in healthcare and its influence is being felt in applications related to population health analyses, precision health opportunities, and predictive modeling. While many disease areas have the potential to benefit from this added level of intelligence, its effect can most prominently be seen in depression and mental disorders where diagnoses can be subjective, treatment types are broad, and outcomes are highly variable. Understanding what interventions work for a population of patients and how that learning can help inform the best treatment option for a new patient could prove to be immensely valuable for patients, providers and health systems, and payers.

Casey is currently the Chief Scientific Officer for Raiven Healthcare, and formerly a Data Scientist at Centerstone Research Institute.

His work focuses on artificial intelligence in healthcare, including the areas of robotics, human-robot interaction, data warehousing, machine learning, clinical decision support, and personalized medicine. He was the lead designer for Centerstone’s award-winning organization-wide Analytics platform (2010 TDWI Best Practices Award) and the national Knowledge Network Data Warehouse, the largest ongoing clinical mental health data repository in the country. His work has also been featured as part of IBM's “Smarter Planet” campaign.

He is currently working on projects using artificial intelligence to augment clinical decision-making in chronic illness, utilizing in-home robots for therapeutic purposes with elderly patients, and exploring the minimal features for robotic faces that can display human-like facial expressions. Casey received his Ph.D. from the School of Informatics and Computing at Indiana University.

AGENDA

3:00 - 3:30PM Networking - meet AI and Healthcare innovators

3:30 - 4:30PM Presentation - AI Approaches in Depression Care

4:30 - 5:00PM Networking

REGISTRATION

Admission is FREE prior to March 1st, $10 prior to March 15th and $20 thereafter and at the door

About MARCH:

MARCH is a Chicago based non-profit whose mission is to build more AI and Robotics leadership in the Midwest. They serve enterprises seeking to accelerate AI adoption, entrepreneurs launching AI startups and professionals seeking AI careers. Check out their AI programming at www.destination.ai (http://destination.ai/). MARCH (the Midwest AI and Robotics Center for Humans ) is THE organization to connect to if you want to reach the heart of the Midwest USA artificial intelligence community.

About MATTER:

MATTER (http://matter.health) is a community of healthcare innovators, an incubator of ideas, and a catalyst for change. We are boots-on-the-ground entrepreneurs pushing against the status quo and established institutions dedicated to improving patients’ lives. At MATTER we are hungry for change, and we’re working together to solve real and complex healthcare problems. As part of MATTER's Health Data Immersion, we believe that harnessing the predictive and prescriptive power of health data will require both a new generation of AI-enabled health analytics, as well as demonstrable ROI-driven business models and processes that will scale the business of intelligent healthcare decision-making.