Rethinking Clinical Trial Radiology Workflows and Student Training: Integrated Virtual Student Shadowing Experience, Education, and Evaluation

Spear, Lillian G; Dimperio, Jane; Wang, Sherry S.; M., Huy; Folio, Les

doi:10.1007/s10278-022-00605-y

Cited by 1 publication

(1 citation statement)

References 21 publications

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“…Another potential application of AI in radiology resident education is the use of virtual reality and simulation to provide hands-on training experiences [26,27]. This technology can be used to create realistic simulations of medical scenarios such as a surgical procedure or an interventional radiology procedure, which can provide residents with an immersive and interactive learning experience.…”

Section: Future Resident Educationmentioning

confidence: 99%

Unlocking the Potential of Artificial Intelligence (AI) for Healthcare

Mack¹

2023

Artificial Intelligence

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This book chapter examines the potential of artificial intelligence (AI) to improve healthcare. AI has become increasingly prominent in healthcare, providing the capability to automate tasks, analyze large patient data sets, and deliver quicker and more cost-effective healthcare. We focus on its various applications in healthcare including vital sign monitoring, glycemic control, radiology, and emergency room triage with point of care ultrasound (POCUS). We also address Ai’s ethical, legal, and privacy implications in healthcare such as data protection and safeguarding patient privacy. Finally, we explore the potential of AI in healthcare improvement in the future and investigate the current trends, opportunities, and evolving threats posed by AI in healthcare, as well as its implications for human-AI interfacing and job security. This book chapter provides an essential and comprehensive overview of the potential of AI in healthcare, providing a valuable resource for healthcare professionals and researchers in the field.

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Section: Future Resident Educationmentioning

confidence: 99%

Unlocking the Potential of Artificial Intelligence (AI) for Healthcare

Mack¹

2023

Artificial Intelligence

View full text Add to dashboard Cite

show abstract

Rethinking Clinical Trial Radiology Workflows and Student Training: Integrated Virtual Student Shadowing Experience, Education, and Evaluation

Cited by 1 publication

References 21 publications

Unlocking the Potential of Artificial Intelligence (AI) for Healthcare

Unlocking the Potential of Artificial Intelligence (AI) for Healthcare

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