Design and Development of Smart Surgical Assistant Technologies
A Case Study for Translational Sciences
Jeff J.H. Kim, Richard Um, Rajiv R. Iyer, Nicholas Theodore, Amir Manbachi
- 72 pagine
- English
- ePUB (disponibile sull'app)
- Disponibile su iOS e Android
Design and Development of Smart Surgical Assistant Technologies
A Case Study for Translational Sciences
Jeff J.H. Kim, Richard Um, Rajiv R. Iyer, Nicholas Theodore, Amir Manbachi
Informazioni sul libro
Are Amazon Alexa and Google Home limited to our bedrooms, or can they be used in hospitals? Do you envision a future where physicians work hand-in-hand with voice AI to revolutionize healthcare delivery? In the near future, clinical smart assistants will be able to automate many manual hospital tasks—and this will be only the beginning of the changes to come.
Voice AI is the future of physician-machine interaction and this Focus book provides invaluable insight on its next frontier. It begins with a brief history and current implementations of voice-activated assistants and illustrates why clinical voice AI is at its inflection point. Next, it describes how the authors built the world's first smart surgical assistant using an off-the-shelf smart home device, outlining the implementation process in the operating room. From quantitative metrics to surgeons' feedback, the authors discuss the feasibility of this technology in the surgical setting. The book then provides an in-depth development guideline for engineers and clinicians desiring to develop their own smart surgical assistants. Lastly, the authors delve into their experiences in translating voice AI into the clinical setting and reflect on the challenges and merits of this pursuit.
The world's first smart surgical assistant has not only reduced surgical time but eliminated major touch points in the operating room, resulting in positive, significant implications for patient outcomes and surgery costs. From clinicians eager for insight on the next digital health revolution to developers interested in building the next clinical voice AI, this book offers a guide for both audiences.