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A Patient-Specific Teleoperation Framework for Lung Ultrasound

Year: 2024

Type: conference-paper

Abstract: In the context of telehealth, AI and robotics enhance personalised care and enable remote examinations such as lung ultrasounds, which gained attention during the COVID-19 pandemic. Due to anatomical variability, teleoperated systems are more practical than autonomous ones. This study presents an anatomy-aware control framework for remote lung ultrasound using biomechanically accurate 3D models for real-time assistance, resulting in significantly reduced examination times compared against the traditional teleoperation methods.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.14730992

Authors: Nardi, Davide, Beber, Luca, Fontanelli, Daniele, Saveriano, Matteo, Palopoli, Luigi, Lamon, Edoardo

Language: English

Topic: Ultrasound in Clinical Applications

Subfield: Critical Care and Intensive Care Medicine

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: green

OpenAlex ID: W6930466999

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