Virtual Access Only | 1.00 CE/CME Credits
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The "Advancing Oncology with AI" webinar series is designed to provide healthcare providers, particularly oncologists, with the latest insights and practical knowledge on the integration of artificial intelligence in oncology care. This series will consist of 9 one-hour webinars, each focusing on specific applications of AI in oncology, ranging from early cancer detection to personalized treatment plans and predictive analytics. The series aims to bridge the learning gap by presenting real-world case studies, expert discussions, and interactive Q&A sessions to ensure participants can implement AI technologies effectively in their practice.
Speakers
Olalekan Ajayi, PharmD | Highlands Oncology Group
Doug Flora, MD | St. Elizabeth Healthcare Cancer Center
Sanjay Juneja, MD Program Speaker Mary Bird Perkins Cancer Center
David Penberthy, MD | University of Virginia
Scott Penberthy | Google
Webinar Series
Webinar 1: AI Driven Personalized Treatment Plans | Tuesday, November 5, 2024
Examine the methodologies used by AI systems to generate personalized treatment plans, including the integration of patient-specific data, tumor characteristics, and treatment outcomes.
Discuss the clinical applications of AI in tailoring cancer therapies, focusing on improving patient outcomes through personalized approaches in various cancer types.
Assess the impact of AI on treatment decision-making processes, including the interpretation of complex data sets, potential biases, and the clinician's role in validating AI-generated recommendations.
Webinar 2: AI and Genomic Data Integration | Tuesday, December 3, 2024
Explore the techniques for integrating AI with genomic data to identify actionable mutations, predict treatment responses, and personalize cancer therapy.
Understand the challenges in managing and interpreting large-scale genomic data sets using AI, with emphasis on accuracy, reproducibility, and clinical utility.
Evaluate the impact of AI-driven genomic data analysis on precision oncology, including its role in advancing targeted therapies and overcoming resistance mechanisms.
Webinar 3: AI Applications for Oncology Research | Tuesday, January 7, 2025
Investigate the role of AI in accelerating oncology research, including drug discovery, clinical trial design, and the identification of novel therapeutic targets.
Discuss the potential of AI to transform cancer care by enhancing research efficiency and enabling more precise therapeutic strategies.
Explore the ethical and practical considerations in using AI for oncology research, including data sharing, algorithm transparency, and collaboration between AI developers and clinicians.
Webinar 4: AI in Pathology: Enhancing Diagnostic Accuracy | Tuesday, February 4, 2025
Assess the impact of AI tools on improving diagnostic accuracy in pathology, with a focus on image analysis, pattern recognition, and the classification of cancer subtypes.
Understand the integration of AI in pathology workflows, including the use of AI-assisted diagnostic tools and their implications for clinical decision-making.
Discuss the potential of AI to reduce diagnostic errors and variability in pathology, and the importance of clinician-AI collaboration in achieving optimal outcomes.
Webinar 5: AI and Immunotherapy: Predicting Responses | Tuesday, March 4, 2025
Evaluate the use of AI in predicting patient responses to immunotherapy, including the identification of biomarkers and patient stratification.
Understand the role of AI in optimizing immunotherapy treatment plans, including dose adjustments and combination strategies, to enhance efficacy and minimize toxicity.
Explore the future potential of AI in advancing immuno-oncology, focusing on its role in enhancing patient outcomes and treatment personalization.
Webinar 6: AI for Predicting Cancer Recurrence | Tuesday, April 1, 2025
Examine the methodologies employed by AI systems to predict cancer recurrence, including the use of machine learning algorithms and longitudinal data analysis.
Discuss the clinical utility of AI in identifying patients at high risk of recurrence and guiding surveillance strategies in various cancer types, such as breast, colorectal, and prostate cancers.
Understand the challenges and limitations of using AI for recurrence prediction, including the need for continuous model validation, data quality, and the integration of AI insights into clinical practice.
Webinar 7: Integrating AI into Oncology Workflows | Tuesday, May 6, 2025
Explore the strategies for integrating AI into oncology workflows, including the alignment of AI tools with existing clinical processes and the role of multidisciplinary teams.
Evaluate the impact of AI on improving workflow efficiency, reducing clinician workload, and enhancing patient outcomes in oncology care.
Discuss the barriers to AI adoption in oncology, including technological challenges, clinician resistance, and the need for ongoing education and training.
Webinar 8: AI in Oncology Care Coordination | Tuesday, June 10, 2025
Assess the potential of AI to improve care coordination in oncology, including the management of complex patient care plans and the integration of multidisciplinary inputs.
Understand the role of AI in enhancing communication and collaboration among healthcare providers, patients, and caregivers in the oncology care continuum.
Discuss the practical approaches for integrating AI into care coordination efforts to streamline processes and improve patient outcomes.
Webinar 9: Communicating AI Solutions to Oncologists | Tuesday, July 1, 2025
Examine the best practices for effectively communicating AI solutions to oncologists, including the importance of transparency, evidence-based outcomes, and clinical relevance.
Understand the common misconceptions and concerns oncologists may have regarding AI, and develop strategies to address these barriers to adoption.
Discuss the role of continuous education and feedback in ensuring that oncologists remain engaged and informed about the latest AI developments in oncology.
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In support of improving patient care, this activity has been planned and implemented by Amedco LLC and Total Health. Amedco LLC is jointly accredited by the Accreditation Council for Continuing Medical Education (ACCME), the Accreditation Council for Pharmacy Education (ACPE), and the American Nurses Credentialing Center (ANCC), to provide continuing education for the healthcare team.
Nurses (ANCC) Credit Designation
Amedco LLC designates this activity for a maximum of 1.000 ANCC contact hours.
Physicians (ACCME) Credit Designation
Amedco LLC designates this live activity for a maximum of 1.00 AMA PRA Category 1 CreditsTM. Physicians should claim only the credit commensurate with the extent of their participation in the activity.
Pharmacists and Pharmacy Technicians (ACPE) Credit Designation
Amedco LLC designates this activity for a maximum of 1.00 knowledge-based CPE contact hours.
NOTE to Pharmacists: The only official Statement of Credit is the one you pull from CPE Monitor. You must request your certificate within 30 days of your participation in the activity to meet the deadline for submission to CPE Monitor.