NOTE: This activity is available only as part of a paid subscription series; it is not available for purchase as a single, stand-alone activity.
The goal of this program is to improve the management of post-intensive care syndrome, and colorectal liver metastases (CRLM) using artificial intelligence (AI). After hearing and assimilating this program, the clinician will be better able to:
1. Diagnose patients presenting with post-intensive care syndrome.
2. Differentiate between machine learning and deep learning in AI.
3. Evaluate risk for reduced overall survival in patients with CRLM using a novel machine learning algorithm.
4. Predict outcomes in CRLM through radiomic analysis of computed tomography.
5. Review the role of AI in the diagnosis and management of CRLM.
- Provider:Lippincott Continuing Medical Education Institute, Inc.
- Activity Link: https://www.audio-digest.org/Specialties/General-Surgery
- Start Date: 2023-06-26 05:00:00
- End Date: 2023-06-26 05:00:00
- Credit Details: AMA PRA Category 1 Credit™️: 2.0 hours
- MOC Credit Details: ABS - 2.0 Point; Credit Type(s): Accredited CME (ABS)
ABS - 2.0 Point; Credit Type(s): Self-Assessment (ABS) - Commercial Support: No
- Activity Type: Enduring Material
- CME Finder Type: Online Learning
- Fee to Participate: Yes
- Measured Outcome: Learner Competence, Learner Knowledge, Learner Performance
- Provider Ship: Directly Provided
- Registration: Open to all
- Specialty: General Surgery, Surgical Critical Care