An Introductory Guide to Artificial Intelligence in Interventional Radiology: Part 1 Foundational Knowledge.

Artificial intelligence (AI) is rapidly evolving and has transformative potential for interventional radiology (IR) clinical practice. However, formal training in AI may be limited for many clinicians and therefore presents a challenge for initial implementation and trust in AI. An understanding of the foundational concepts in AI may help familiarize the interventional radiologist with the field of AI, thus facilitating understanding and participation in the development and deployment of AI. A pragmatic classification system of AI based on the complexity of the model may guide clinicians in the assessment of AI. Finally, the current state of AI in IR and the patterns of implementation are explored (pre-procedural, intra-procedural, and post-procedural).

An Introductory Guide to Artificial Intelligence in Interventional Radiology: Part 2: Implementation Considerations and Harms.

The introduction of artificial intelligence (AI) in interventional radiology (IR) will bring about new challenges and opportunities for patients and clinicians. AI may comprise software as a medical device or AI-integrated hardware and will require a rigorous evaluation that should be guided based on the level of risk of the implementation. A hierarchy of risk of harm and possible harms are described herein. A checklist to guide deployment of an AI in a clinical IR environment is provided. As AI continues to evolve, regulation and evaluation of the AI medical devices will need to continue to evolve to keep pace and ensure patient safety.

Endovascular community response to mortality data in use of paclitaxel devices for peripheral vascular disease.

OBJECTIVE: We examined the endovascular community response to data demonstrating increased mortality in paclitaxel devices for the treatment of peripheral arterial disease in femoropopliteal lesions. METHODS: A retrospective observational study using the Vascular Quality Initiative Peripheral Vascular Intervention registry dataset was performed to examine paclitaxel device use for peripheral arterial disease in femoropopliteal arteries treated from 2017 to 2019. A total of 41,707 patients and 52,208 procedures were analyzed during the study period. A post hoc analysis was performed to examine paclitaxel device use during selected periods in 2019. RESULTS: The total number of femoropopliteal procedures in 2017, 2018, and 2019 were 17,458, 21,140, and 21,322, respectively. Paclitaxel devices were used for 8852 arteries in 2017, 10,691 in 2018, and 6732 in 2019, which was significantly reduced in 2019 compared with 2017 or 2018 (P < .0001) and 2019 compared with the 2018 and 2017 volumes combined (P < .0001). Post hoc analysis of selected periods in 2019 demonstrated variable use throughout 2019. CONCLUSIONS: After the report of data with concerns of mortality associated with paclitaxel device use in 2018, a rapid reduction in overall paclitaxel device use was observed in 2019.