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本文引用的文献

1
Dissecting racial bias in an algorithm used to manage the health of populations.剖析用于管理人群健康的算法中的种族偏见。
Science. 2019 Oct 25;366(6464):447-453. doi: 10.1126/science.aax2342.
2
Variable generalization performance of a deep learning model to detect pneumonia in chest radiographs: A cross-sectional study.深度学习模型检测胸片肺炎的可变泛化性能:一项横断面研究。
PLoS Med. 2018 Nov 6;15(11):e1002683. doi: 10.1371/journal.pmed.1002683. eCollection 2018 Nov.

由Bridge2AI语音联盟主办的2024年语音人工智能研讨会主题演讲摘要。

Summary of Keynote Speeches from the 2024 Voice AI Symposium, presented by the Bridge2AI-Voice Consortium.

作者信息

Patel Rupal, Price Nicholson, Bahr Ruth, Bedrick Steven, Bensoussan Yael, Bélisle-Pipon Jean-Christophe, Dorr David, Jackson Christie, Krussel Andrea, Salvi Cruz Samantha, Toghranegar Jamie, Watts Stephanie, Zhao Robin, Powell Maria

机构信息

Department of Communication Sciences and Disorders, Northeastern University, Boston, MA, United States.

University of Michigan Law School, University of Michigan, Ann Arbor, MI, United States.

出版信息

Front Digit Health. 2024 Dec 3;6:1484503. doi: 10.3389/fdgth.2024.1484503. eCollection 2024.

DOI:10.3389/fdgth.2024.1484503
PMID:39691415
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11649621/
Abstract

INTRODUCTION

The 2024 Voice AI Symposium, hosted by the Bridge2AI-Voice Consortium in Tampa, FL, featured two keynote speeches that addressed the intersection of voice AI, healthcare, ethics, and law. Dr. Rupal Patel and Dr. Nicholson Price provided insights into the advancements, applications, and challenges of AI-driven voice tools in healthcare. The symposium aimed to advance cross-disciplinary collaboration and establish frameworks for the ethical use of AI technologies in healthcare.

METHODS

The keynote speeches, delivered on May 1st and 2nd, were 30 minutes each, followed by 10-minutes Q&A sessions. The audio was recorded and transcribed using Whisper (v7.13.1). Content summaries were generated with the aid of ChatGPT (v4.0), and the authors reviewed and edited the final transcripts to ensure accuracy and clarity.

RESULTS

Dr. Rupal Patel's keynote, "Reflections and New Frontiers in Voice AI", explored the potential of voice AI for early detection of health conditions, monitoring disease progression, and promoting non-invasive global health management. She highlighted innovative uses beyond traditional applications, such as examining menopause-related symptoms. Dr. Nicholson Price's keynote, "Governance for Clinical Voice AI", addressed the regulatory and ethical challenges posed by AI in healthcare. He stressed the need for context-aware systems and dynamic legal frameworks to address liability and accountability.

CONCLUSIONS

The 2024 Voice AI Symposium highlighted the transformative potential of voice AI for early detection, health monitoring, and reducing healthcare disparities. It also underscored the importance of dynamic governance to address the ethical and regulatory challenges of deploying AI in clinical settings.

摘要

简介

由位于佛罗里达州坦帕市的Bridge2AI语音联盟主办的2024年语音人工智能研讨会,有两场主题演讲,探讨了语音人工智能、医疗保健、伦理和法律的交叉领域。鲁帕尔·帕特尔博士和尼科尔森·普赖斯博士深入探讨了人工智能驱动的语音工具在医疗保健领域的进展、应用和挑战。该研讨会旨在推动跨学科合作,并建立医疗保健领域人工智能技术道德使用的框架。

方法

5月1日和2日发表的主题演讲各30分钟,随后是10分钟的问答环节。音频使用Whisper(v7.13.1)进行录制和转录。借助ChatGPT(v4.0)生成内容摘要,作者对最终转录稿进行了审核和编辑,以确保准确性和清晰度。

结果

鲁帕尔·帕特尔博士的主题演讲“语音人工智能的反思与新前沿”探讨了语音人工智能在早期发现健康状况、监测疾病进展以及促进非侵入性全球健康管理方面的潜力。她强调了传统应用之外的创新用途,如检查与更年期相关的症状。尼科尔森·普赖斯博士的主题演讲“临床语音人工智能的治理”讨论了人工智能在医疗保健领域带来的监管和伦理挑战。他强调需要情境感知系统和动态法律框架来解决责任和问责问题。

结论

2024年语音人工智能研讨会凸显了语音人工智能在早期检测、健康监测和减少医疗保健差距方面的变革潜力。它还强调了动态治理对于应对在临床环境中部署人工智能的伦理和监管挑战的重要性。