COVID-19 and beyond: development of a comprehensive telemedical diagnostic framework.

PURPOSE: During the COVID-19 pandemic, a threatening bottleneck of medical staff arose due to a shortage of trained caregivers, who became infected while working with infectious patients. While telemedicine is rapidly evolving in the fields of teleconsultation and telesurgery, proper telediagnostic systems are not yet available, although the demand for contactless patient-doctor interaction is increasing. METHODS: In this project, the current limitations were addressed by developing a comprehensive telediagnostic system. Therefore, medical examinations have been assessed in collaboration with medical experts. Subsequently, a framework was developed, satisfying the relevant constraints of medical-, technical-, and hygienic- aspects in order to transform in-person examinations into a contactless procedure. Diagnostic steps were classified into three groups: assisted procedures carried out by the patient, teleoperated examination methods, and adoptions of conventional methods. RESULTS: The Telemedical Diagnostic Framework was implemented, resulting in a functional proof of concept, where potentially infectious patients could undergo a full medical examination. The system comprises, e.g., a naso-pharyngeal swab, an inspection of the oral cavity, auscultation, percussion, and palpation, based on robotic end-effectors. The physician is thereby connected using a newly developed user-interface and a lead robot, with force feedback control, that enables precise movements with the follower robot on the patient's side. CONCLUSION: Our concept proves the feasibility of a fully telediagnostic system, that consolidates available technology and new developments to an efficient solution enabling safe patient-doctor interaction. Besides infectious situations, this solution can also be applied to remote areas.

Robotics and AI for Teleoperation, Tele-Assessment, and Tele-Training for Surgery in the Era of COVID-19: Existing Challenges, and Future Vision.

The unprecedented shock caused by the COVID-19 pandemic has severely influenced the delivery of regular healthcare services. Most non-urgent medical activities, including elective surgeries, have been paused to mitigate the risk of infection and to dedicate medical resources to managing the pandemic. In this regard, not only surgeries are substantially influenced, but also pre- and post-operative assessment of patients and training for surgical procedures have been significantly impacted due to the pandemic. Many countries are planning a phased reopening, which includes the resumption of some surgical procedures. However, it is not clear how the reopening safe-practice guidelines will impact the quality of healthcare delivery. This perspective article evaluates the use of robotics and AI in 1) robotics-assisted surgery, 2) tele-examination of patients for pre- and post-surgery, and 3) tele-training for surgical procedures. Surgeons interact with a large number of staff and patients on a daily basis. Thus, the risk of infection transmission between them raises concerns. In addition, pre- and post-operative assessment also raises concerns about increasing the risk of disease transmission, in particular, since many patients may have other underlying conditions, which can increase their chances of mortality due to the virus. The pandemic has also limited the time and access that trainee surgeons have for training in the OR and/or in the presence of an expert. In this article, we describe existing challenges and possible solutions and suggest future research directions that may be relevant for robotics and AI in addressing the three tasks mentioned above.