Artificial Intelligence in Health Care

Artificial Intelligence in Health Care


Portfolio Overview

The field of artificial intelligence is rapidly growing and evolving. Artificial intelligence (AI) refers to the ability of a machine to perform a task that is normally done by humans, including problem-solving and learning. AI-enabled software can be divided into two categories, with the classification depending on how the software is developed. Rules-based algorithms use expert-derived rules to turn the inputs into an output, through a defined and logical process. Data-based algorithms are given sets of labeled input data (called “training data”) and use programmed processes to derive relationships between the inputs and the labels. The relationships can then be used to predict how new input data would likely be labeled. While forms of clinical decision support (CDS) software has been available for many decades, recent advances in data-based AI may have the potential to significantly improve software performance, opening to the door to an explosion of new products, some of which are already in the market. With this explosion will come a host of regulatory, implementation, and adoption challenges in the near- and long-term. 

 

Current Work: 

Past Work:

 

    September 2020, White Paper | Trust, But Verify: Informational Challenges Surrounding AI-Enabled Clinical Decision Software
    September 2020, JLB Article Pre-Print | Accountability, Secrecy, and Innovation in AI-Enabled Clinical Decision Software
    June 2019, White Paper | Current State and Near-Term Priorities for AI-Enabled Diagnostic Support Software in Health Care

    Research Team

    silcox

    Christina Silcox, PhD

    Managing Associate
    Senior Team Member
    2020 Intern Mentor

    isha sharma

    Isha Sharma, MS

    Senior Research Assistant

    Mercon

    Kerra Mercon

    Senior Research Assistant

    Arti Rai

    Arti K. Rai, JD

    Elvin R. Latty Professor of Law
    Margolis Core Faculty

    Gillian Schmidler

    Gillian Sanders Schmidler, PhD

    Deputy Director of Academics, Margolis Center
    Professor of Population Health Sciences, School of Medicine
    Margolis Executive Core Faculty
    2020 Intern Mentor