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      Harvard AI in Clinical Medicine 2024

      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
      SKU: MED-AMB-01074 Categories: Internal Medicine, GIT COURSES
      • 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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