The goal of this program is to improve applications of artificial intelligence (AI) in oncology, and management of advanced cervical cancer and endometrial cancer (EC). After hearing and assimilating this program, the clinician will be better able to: 1. Differentiate shallow learning from deep learning in machine learning systems. 2. Identify domains in healthcare to which AI can be immedi ately applied. 3. Use methods of validation to ensure broad applicability and consistent performance of AI models. 4. Select immunotherapies with decreased toxicity for treat ment of recurrent EC. 5. Use classification of endometrial cancer according to molecu lar subtypes to predict survival.
- Provider:Lippincott Continuing Medical Education Institute, Inc.
- Activity Link: https://www.audio-digest.org/Specialties/Oncology
- Start Date: 2024-07-10 05:00:00
- End Date: 2024-07-10 05:00:00
- Credit Details: AMA PRA Category 1 Credit™️: 2.0 hours
- MOC Credit Details: ABIM - 2.0 Point; Credit Type(s): Medical Knowledge (ABIM)
- 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: Medical Oncology
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