Bench to Bedside: Understanding the Practical Application of AI in Medicine - 2024

Thursday, October 17, 2024


This conference has already taken place.


MART Auditorium - Stony Brook, NY
1 Day Conference October 17th, 2024
6.00 AMA PRA Category 1 Credit Hours

Description

The seminar aims to empower participants with the knowledge and skills necessary to harness AI effectively in clinical practice and research.  It will equip attendees with practical insights, case studies, and interactive discussions led by experts in both AI and medicine, fostering a collaborative environment where attendee can explore how to overcome barriers and maximize the potential of AI in transforming modern healthcare delivery. 

All Stony Brook Audiences Welcome. 
Please note: This exciting event is open to all Stony Brook Faculty/Staff/Students. While the overarching theme for this event is the application of AI in medicine, the event is designed to bridge the professional practice gap that exists between cutting-edge AI research and its practical implementation in clinical settings,  While AI holds immense promise for transforming healthcare delivery, many physicians and researchers lack the foundational knowledge and practical skills needed to effectively integrate AI into their daily practices. 

THIS CONFERENCE IS FOR STONY BROOK UNIVERSITY & HOSPITAL FACULTY/STAFF & STUDENTS ONLY.

Register Now

For pricing information, see pricing tab below.

Dates and Times

Start: 10/17/2024 8:30 AM
End: 10/17/2024 5:00 PM

Objectives

  • Understand the foundational principles of AI and machine learning as applied to healthcare.
  • Develop strategies for integrating AI tools into clinical workflows effectively.
  • Evaluate the ethical and regulatory implications of using AI in medical practice. 
  • Apply AI-driven predictive analytics to improve patient outcomes and optimize treatment plans.  
  • Implement AI-based clinical decision support systems to enhance diagnostic accuracy and treatment efficacy.
  • Utilize AI tools to personalize medicine based on individual patient data and medical histories.
  • Enhance patient care through the implementation of AI technologies that improve diagnostic speed and accuracy.
  • Optimize resource allocation and healthcare delivery through AI-driven insights and analytics.
  • Improve patient safety and quality of care by integrating AI to reduce medical errors and optimize treatment protocols. 

Pricing

Tier Price
Stony Brook Physicians - free $0.00
Stony Brook Other Healthcare Professional - free $0.00
Stony Brook Student - free $0.00
Stony Brook Faculty/Staff - free $0.00

Speakers

  • Joseph Balsamo, Other
    • Chatbot: Demonstration of Various Data Sources and Outputs
  • Thomas Campion, PhD
    • Data Management for Advancing Science on the AI World
  • Ramana Davuluri, PhD
    • Genomics
  • Omar Gould, Master's Degree
    • Chatbot: Demonstration of Various Data Sources and Outputs
  • Melanie Keister, Other
    • Chatbot: Demonstration of Various Data Sources and Outputs
  • Yuan Luo, PhD
    • Advancing Collaborative Artificial Intelligence Across the Learning Health System
  • Prateek Prasanna, PhD
    • AI Medicine and Computer Vision
  • Joel Saltz, MD
    • AI Medicine and Computer Vision
    • Introduction to Bootcamp
  • Mary Saltz, MD
    • Introduction to Bootcamp
  • Hants Williams, PhD
    • AI in the Real World - The Generative Generation
    • Clinical Burnout: How AI Can Help Today and Into the Future

Panels

  • Panel Discussion: Compliance, Ethics and AI
    • Ms. Patricia Eckardt, Other
    • Ms. Anna Li, BS
    • Dr. Brian McMahon, MD
    • Dr. Hants Williams, PhD
  • Panel Discussion: Large Language Models
    • Mr. Joseph Balsamo, Other
    • Dr. Ramana Davuluri, PhD
    • Dr. Janos Hajagos, PhD
    • Dr. Tengfei Ma, PhD
  • Panel Discussion: Lessons Learned Roundtable
    • Mr. Joseph Balsamo, Other
    • Dr. Ramana Davuluri, PhD
    • Ms. Melanie Keister, Other
    • Dr. Prateek Prasanna, PhD
    • Dr. Joel Saltz, MD
    • Dr. Hants Williams, PhD

Location

MART Auditorium
Lauterbur Drive
Stony Brook, NY 11794

Accreditation

The School of Medicine, State University of New York at Stony Brook, is accredited by the Accreditation Council for Continuing Medical Education to provide continuing medical education for physicians.

The School of Medicine, State University of New York at Stony Brook designates this live activity for a maximum of 6.00 AMA PRA Category 1 Credits . Physicians should only claim the credit commensurate with the extent of their participation in the activity.

Need help with this Conference?

Please contact the Conference coordinator listed below:

Joseph Cesaria
Department: Biomedical Informatics
Phone: (631) 560-0643
Email: Joseph.Cesaria@stonybrookmedicine.edu

Give us a call
(631) 444-2094
Office of Continuing Medical Education
Renaissance School of Medicine at Stony Brook University
HSC, Level 2, Room 142
Stony Brook, New York 11794-8222