AI and Machine Learning for Bone Health

Thursday, March 30, 2023

8:00 AM – 9:00 AM

Location: Northbrook Ballroom

*Speaker(s)

John A. Shepherd, PhD (he/him/his)

Professor
University of Hawaii Cancer Center

Disclosure(s): GE Healthcare: Contracted Research (PI’s must provide disclosure in this category) (Ongoing); Hologic, Inc: Contracted Research (PI’s must provide disclosure in this category) (Ongoing)

*Moderator(s)

JK

Jennifer J. Kelly, DO, FACE, CCD (she/her/hers)

Director of the Metabolic Bone Program
University Of Vermont

Disclosure(s): No financial relationships to disclose

Disclosure(s):

John A. Shepherd, PhD: GE Healthcare: Contracted Research (PI’s must provide disclosure in this category) (Ongoing); Hologic, Inc: Contracted Research (PI’s must provide disclosure in this category) (Ongoing)

Jennifer J. Kelly, DO, FACE, CCD: No financial relationships to disclose

The assessment of bone health is multifactorial and has been the object of extensive research. Advancements in machine learning, have enabled the field of artificial intelligence (AI) to make impressive breakthroughs in complex data environments. These advancements and opportunities for use will be discussed.

Learning Objectives:

Discuss how AI and machine learning can be used to better assess bone health.
Identify potential current and future uses.
Explain forthcoming directives and advantages with this technology.