Advances in Stroke: Artificial Intelligence in the Field of Stroke Management
Physicians and advanced practice providers in family medicine, internal medicine, pediatrics, and other medical specialties need to receive regular updates on clinical best practices. Newly published, clinically relevant, evidence-based, peer-reviewed research articles will be used as an impetus for discussion. The series aims to accelerate the practice of evidence-based medicine across the physician enterprise to expand clinical knowledge, enhance the quality of care, and improve patient outcomes. The series also aims to disseminate disease-specific clinical best practices and to encourage networking and collaboration within and across medical specialties.
Physicians, fellows, residents, and other healthcare providers.
At the conclusion of the session, the participants should be able to:
Identify best practices and latest updates on artificial intelligence (AI) and its use in stroke management.
Integrate strategies for how to better collaborate across the continuum of care, in particular how to incorporate AI into the continuum.
Recognize the importance of reviewing and discussing new clinical evidence in the context of improving care delivery and patient outcomes.
This activity has been planned and implemented in accordance with the accreditation requirements and policies of the Accreditation Council for Continuing Medical Education (ACCME) through the joint providership of Baylor College of Medicine and CommonSpirit Health. Baylor College of Medicine is accredited by the ACCME to provide continuing medical education for physicians.
Baylor College of Medicine designates this live activity for a maximum of 0.75 AMA PRA Category 1 Credit™. Physicians should claim only the credit commensurate with the extent of their participation in the activity.
- 0.75 AMA PRA Category 1 Credit™
- 0.75 Participation