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Harvard AI in Clinical Medicine 2024
Home / Internal Medicine

Harvard AI in Clinical Medicine 2024

  • Harvard Principles of Medical Education Maximizing Your Teaching Skills 2024 -October Edition
  • Macleod’s Clinical Diagnosis, 3rd edition (Original PDF from Publisher)

$70.00

This Product is shared via google drive download link, So please share your correct Gmail id while placing the order .Please note that there are no CME points or certificate associated with this course Samples for Courses Can be found here : Free Samples Here!

Format: 12 MP4 + 1 M4A + 3 PDF + 2 PPTX + 22 Photo files
Categories: GIT COURSES, Internal Medicine
  • Harvard Principles of Medical Education Maximizing Your Teaching Skills 2024 -October Edition
  • Macleod’s Clinical Diagnosis, 3rd edition (Original PDF from Publisher)
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  • Description

2024 Course Overview

Harvard AI in Clinical Medicine 2024  Over the last two decades, the digitization of medical records created opportunities for automation and data-driven clinical support for a range of routine clinical applications. Today, artificial intelligence (AI) is accelerating innovation in clinical medicine. We are on the cusp of revolutionizing how we care for patients in profound ways.

New technologies are available now to help you impact your practice. AI medical scribes, new research tools and diagnostic tests, and personalized treatment options are just a few applications of AI that are beginning to have a direct impact on clinicians and the patients they serve.

Up until now, most medical practitioners have not received formal training in artificial intelligence. Recognizing that now is the time for physicians and allied health care professionals to prepare for how AI is changing medical care, Harvard Medical School is offering this new continuing education course, AI in Clinical Medicine.

This live virtual course focuses on cutting edge and exciting new applications of AI, including foundational principles and lessons learned that you will be able to take directly back to your practice. Over two days, you will hear from medical society leaders, academic leaders, and innovators from academia and industry.

Sessions will delve into the applications of AI in diagnosing diseases, predicting patient outcomes, and personalizing treatment plans. Through lectures, field-specific break-out sessions, and real-world case studies, you will acquire the knowledge to harness AI’s potential to improve patient care and medical research. Faculty experts will explore the ethical implications, challenges, and opportunities inherent in integrating AI into medical practice.

During this course we will cut through the hype around AI to provide realistic, firsthand viewpoints into the potential of AI in clinical practice. Physicians and medical practitioners of all kinds are highly encouraged to join us for this transformational learning experience.

Who Should Attend

This course was designed specifically for clinicians treating patients in any type of setting including:

  • Physicians
  • Nurses
  • Nurse Practitioners
  • Clinical leaders – Administrators

Learning Objectives

Upon completion of this activity, participants will be able to:

  • Define the unique challenges and opportunities for integrating AI in specialized health care fields.
  • Discuss the ethical considerations and potential biases in AI algorithms, especially in decision-making processes related to patient care, diagnosis, and treatment planning.
  • Review the current status area of AI regulation and how it can impact health care.
  • Assess the long-term quality and accuracy of AI technologies and their impact on patient care.
  • Develop methods for integrating AI into medical education, including content generation, evaluation, and ensuring alignment with educational objectives.

2024 Agenda

All agenda sessions are in Eastern Time.

Thursday, November 7, 2024

Day One
9:30-9:45 AM

Welcome
Maha Farhat, MD, MSc; Samir Kendale, MD; Isaac Kohane, MD, PhD​

9:45-10:30 AM

Keynote: Paging Dr. AI: How AI is Changing the Face of Clinical Care
Isaac Kohane, MD, PhD

10:30-11:00 AM

Learning the AI Lingo: Machine Learning, Deep Learning, and Large Language Models
Samir Kendale, MD

11:00-11:30 AM

The AI Health Care Odyssey: A Historical Expedition
Arjun Manrai, PhD, HMS

11:30 AM-12:00 PM

Panel Q&A: 15 minutes
Break: 15 minutes

12:00-12:30 PM

A Look Into the Black Box: Technical Background for Clinicians
Maha Farhat, MD, MSc

12:30-1:00 PM

Nuts and Bolts: Medical Data as the Backbone of AI
Monica Agrawal, PhD

1:00-1:30 PM

But I Want it Now!: Barriers to Clinical AI Implementation
Genevieve Melton-Meaux, MD, PhD

1:30-2:15 PM

Panel Q&A: 15 minutes
Break: 30 minutes

2:15-2:45 PM

AI Learning Revolution: Transforming Medical Education
Adam Rodman, MD

2:45-3:15 PM

AI Scribe, Medical Chatbot, and More!
Zachary Lipton, PhD

3:15-3:45 PM

How Can I Help You?: Clinical Decision Support
Natalie Pageler, MD, Stanford

3:45-4:15 PM

AI as a Crystal Ball: Revolutionizing Risk Stratification
Ziad Obermeyer, MD, Berkeley

4:15-4:45 PM

Panel Q&A: 15 minutes
Break: 15 minutes

Skills Stations
4:45-5:30 PM
  1. Skills Station – AI Assisted Charting and Patient communication
    Katherine Choi, MD, Abridge
  2. Skills Station – AI for Heart Failure Management
    David Ouyang, MD
  3. Skills Station – Use Chat GPT to Inform Medical Diagnosis
    Adam Rodman, MD

Friday, November 8, 2024

Day Two
9:30-9:45 AM

Welcome
Maha Farhat, MD, MSc; Samir Kendale, MD; Isaac Kohane, MD, PhD​

9:45-10:30 AM

Keynote: Ethics and AI in Health Care
Rebecca Weintraub Brendel, MD, JD,  HMS-MGB

10:30-11:15 AM

Law and Regulation in AI
Glenn Cohen, JD

11:15 AM- 12:00 PM

AI for Pioneering Leadership in the Digital Era
Stanley Shaw, MD, PhD

12:00-12:30 PM

Panel Q&A: 15 minutes
Break: 15 minutes

12:30-1:00 PM

Money Talks: How AI Can Help You Improve Revenue
Jean-Claude Saghbini

1:00-1:30 PM

AI and Reducing Physician Burnout
Jane Moran

1:30-2:00 PM

Panel Q&A: 15 minutes
Break: 15 minutes

2:00-2:30 PM

How AI and ML are Driving Innovation in Biomedicine
Collin Stultz, MD, PhD

2:30-3:00 PM

A Picture is Worth A Million Words: AI and Image Processing
Constance Leman, MD, PhD

3:00-3:30 PM

Unlocking Drug Discovery: AI’s Pharmaceutical Frontier
Vikram Khurana, MD, PhD

3:30-4:00 PM

Precision Medicine: AI and Personalized Treatment in Oncology
Eli Van Allen, MD

4:00-4:15 PM

Panel Q&A: 15 minutes
Break: 15 minutes

Clinical Applications
4:30-5:30 PM
  1. Clinical Applications: Pathology
    Kun Yu, MD, PhD
  2. Clinical Applications: Dermatology 
    Roxana Daneshjou, MD, PhD
  3. Clinical Applications: Gastroenterology
    Tyler Berzin, MD
  4. Clinical Applications: Radiology
    Pranav Rajpurkar, PhD
  5. Clinical Applications: Ophthalmology
    Nazlee Zebardast, MD, MS
  6. Clinical Applications: Critical Care
    Leo Celi, MD
5:30-5:45 PM

Final Remarks
Maha Farhat, MD MSc; Samir Kendale, MD; Issac Kohane, MD, PhD

 

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