英语轻松读发新版了,欢迎下载、更新

Cancer leaders lay out an optimistic vision for how AI will enhance patient care

2025-05-16 08:36:47 英文原文

作者:Jonathan Wosen

SAN FRANCISCO — Leading oncologists said this week that artificial intelligence will one day be as integrated into cancer care as it is in smartphones and self-driving cars — and that this is a change we should welcome.

Their comments, made at STAT’s Breakthrough Summit West on Wednesday, reflected an optimistic view for how the health care system can use AI across nearly all aspects of cancer care, from matching patients with clinical trials to predicting how they might fare on a given treatment. Some of this work is already happening. The panelists noted that AI has the potential to offer deep expertise across a growing number of precisely defined cancer indications, and that the technology can generate insights research focused on individual hypotheses might miss.

Whether these tools will be widely accepted by patients and health care providers, however, is a different question. The panelists stressed that physicians need better ways to understand the strength of AI-powered findings, adding that these tools can aid human judgement but will never replace it.

STAT+ Exclusive Story

Already have an account? Log in

STAT+

STAT+

This article is exclusive to STAT+ subscribers

Unlock this article — and get additional analysis of the technologies disrupting health care — by subscribing to STAT+.

Already have an account? Log in

View All Plans

To read the rest of this story subscribe to STAT+.

Subscribe

关于《Cancer leaders lay out an optimistic vision for how AI will enhance patient care》的评论


暂无评论

发表评论

摘要

Leading oncologists at STAT’s Breakthrough Summit West expressed optimism about the future integration of AI into cancer care, comparing its impact to that of smartphones and self-driving cars. They highlighted AI's potential to match patients with clinical trials, predict treatment outcomes, and provide deep expertise in various cancer types. However, they also emphasized the need for better understanding of AI-powered findings and stressed that these tools will support rather than replace human judgment.