ARRT CE Credits: 5.0 A | MDCB CE Credits: 2.5
Artificial intelligence (AI) is reshaping medical imaging and radiation therapy, influencing workflow efficiency, image quality, clinical decision-making and patient care. This five-part series provides a practical foundation in AI, covering core concepts, ethics, regulatory considerations, workflow integration and emerging applications across imaging specialties. Participants will explore how AI systems are developed, evaluated and used in clinical practice while examining important issues such as transparency, accountability, bias, patient privacy and the evolving role of imaging professionals. Designed for medical imaging and radiation therapy professionals, this series equips learners to understand AI's benefits and limitations, advocate for patients and confidently navigate an increasingly AI-enabled clinical environment.
This session introduces essential artificial intelligence (AI) concepts, terminology and data principles in plain language, showing how AI learns and where it is already used in medical imaging. Medical imaging and radiation therapy professionals will gain the foundational knowledge to use AI safely, recognize its limitations and support imaging quality in increasingly AI-enabled environments.
This session examines the ethical principles, professional standards and regulatory frameworks that support the safe, equitable and patient-centered use of artificial intelligence (AI). Medical imaging and radiation therapy professionals will learn how transparency, accountability, privacy and regulation protect patients and guide informed participation in AI-enabled practice.
This session explores how artificial intelligence (AI) integrates across imaging workflows and connects with infrastructure, such as medical image management and processing systems (formerly known as PACS), RIS and modality workstations. Medical imaging and radiation therapy professionals will learn to identify deployment challenges, assess whether AI enhances care or introduces risk and help shape safe, effective clinical implementation.
This session explores current artificial intelligence (AI) applications across imaging modalities and their expanding role in precision medicine, predictive care and treatment monitoring. Medical imaging and radiation therapy professionals will examine emerging technologies, identify where AI adds value and prepare for evolving responsibilities in quality, ethics and human-AI collaboration.
This webinar provides an overview of sustainability-related trends, practices and resources in departments that utilize medical imaging equipment. The panel explores the “why” of sustainability, highlighting benefits for patients, the planet and imaging departments. Panelists also discuss process improvement ideas and operational strategies that can help organizations increase sustainability.
Advertising
Artificial intelligence (AI) and machine learning (ML) algorithms are becoming an increasingly common subject for medical imaging and radiation therapy professionals. However, while it’s becoming clear that these technologies are going to change our practice, this doesn’t mean that they will replace staff. This presentation will focus on how AI and ML will enhance the work of R.T.s by freeing up time to focus on patient care. By examining our role within medical imaging and radiation therapy departments, we can help to enact positive change during technological shifts through idea sharing, equipment application and purchases, and training. This presentation will also discuss how to prepare for a future with AI, and why the conversations about ethical and legal considerations of AI will become even more important.
Artificial intelligence (AI) is growing in popularity and intrigue within multiple facets of public consumption, and computed tomography (CT) is not excluded from AI’s incorporation into everyday applications. During this ASRT Live presentation, attendees will be given the opportunity to become familiar with AI terminology and provided with a brief overview of its learning methods. Once attendees have some AI foundational knowledge, they will explore the challenges and/or opportunities of AI within the health care system and medical imaging. The presentation will conclude with an introduction to current AI systems and practices currently used in CT imaging.
This panel will discuss how artificial intelligence (AI) uses computer programs and models based on networks of databases in a process that teaches computers. The group will review how AI, machine learning (ML), and deep learning (DL) programs could affect the medical imaging and radiation therapy workforce, and how AI-enabled machines learn, adapt, and perform tasks previously thought to require human cognitive functions. Additionally, the presentation will cover perceived potential outcomes and improvements to patient care techniques using these systems. Procedural accuracy, efficiency, diagnosis, and increased patient throughput using AI, ML, and DL also will be discussed.
Become an ASRT member and receive access to 17 CE credits each membership year. Choose from more than 575 CE courses in a variety of topics. Earn CE to fulfill biennium, CQR prescription, state and regulatory requirements.