10306 - Multimodal, Generative, and Agentic AI for Pathology

Course Director

Faisal Mahmood, Ph.D., Harvard Medical School

Description

Advances in digital pathology and artificial intelligence (AI) have presented the potential to build models for objective diagnosis, prognosis, and therapeutic-response and resistance prediction. This course reviews recent advances in AI that will soon impact the practice of pathology.

Credits

AMA PRA Category 1 Credits™

Opus Medicus designates this Internet enduring material for a maximum of 1.25 AMA PRA Category 1 Credits™. Physicians should claim only the credit commensurate with the extent of their participation in the activity.

Maintenance of Certification (MOC) Credits

In addition to AMA PRA Category 1 Credits™, Opus Medicus designates this course for Specialty Board MOC Program Credits:

1.25 ABP CC/MOC Credits1

Accreditation Statement

Opus Medicus is accredited by the Accreditation Council for Continuing Medical Education (ACCME) to provide continuing medical education for physicians.

Tuition Fees

Course & Credits: Free

Course Dates

Offered Date: 25-Apr-2025
Expiration Date: 24-Apr-2028

Objectives

After taking this course, participants are expected to uptick their understanding of the application of AI to:

1. Improve cancer diagnosis

2. Discover biomarkers

3. Build chatbot for pathology

4. 3D computational pathology

5. Agentic AI for diagnostic pathology and biomedical research

Topics

1. Data-efficient methods for weakly-supervised whole slide classification with examples in cancer diagnosis and subtyping, identifying origins for cancers of unknown primary and allograft rejection

2. Discovering integrative histology-genomic prognostic markers via interpretable multimodal deep learning

3. Building unimodal and multimodal foundation models for pathology

4. Developing a universal multimodal generative co-pilot and chatbot for pathology

5. 3D Computational Pathology

6. Bias and fairness in computational pathology algorithms

7. Agentic AI workflows for diagnostic pathology and biomedical research

Specific topics covered in this AMA PRA Categogy 1 Credit™ online CME course include Computational Pathology, AI for Pathology, Artificial Intelligence for Pathology, chatbot for pathology, and cancer diagnostics.

American Board of Medical Specialties (ABMS) / Accreditation Council for Graduate Medical Education (ACGME) Competencies

☑  Patient Care (PC)

Financial Relationship Disclosure and Content Attestation

Dr. Faisal Mahmood, course director, discloses that he is an advisor for Danaher and is a scientific co-founder of and advisor to Modella AI. He attests that neither of these companies has had an influence on the course content. Dr. Steven R. Tahan, Education Committee Chair, attests that he has no financial relationships with an ineligible company (a company whose primary business is producing, marketing, selling, re-selling, or distributing healthcare products used by or on patients). No other person who has provided content for or who can influence the content of this course has disclosed a financial relationship with an ineligible company.

There has been no commercial support for this course.

Supported Computer Hardware and Software Configurations2

Supported client computing platforms include:

A broadband Internet connection is required (e.g., cable, DSL, and 3G or 4G wireless). The course presentation is automatically scaled to the size of the display, from 800x480 pixels (minimum supported) to 1920x1200 pixels. On some smart phones, viewing courses may be tedious.

Supported browsers include:

Javascript, cookies, and popups must be enabled on your browser (which is the default configuration for most browsers).

1. Successful completion of this CME activity, which includes participation in the evaluation component, enables the participant to earn up to 1.25 CC/MOC credits for the American Board of Pathology (ABP) Continuing Certification (CC) / Maintenance of Certification (MOC) Program, in addition to AMA PRA Category 1 Credits™. Participants will earn CC/MOC credits equivalent to the amount of AMA PRA Category 1 credits claimed for the activity. Immediately upon course completion, Opus Medicus will submit participant completion information to ACCME for the purpose of granting ABP CC/MOC credit.

2. The course may also be viewable on other client computing platforms that comply with Internet standards. If you experience technical problems that prevent you from viewing the course, we will promptly issue a full refund upon request.