Recently The New York Times reported the following:
Have a Thorny Medical Question? Your Doctor May Be Using
A.I. for That (1/2)
OpenEvidence, a fast-growing start-up, is using
artificial intelligence to help doctors find answers to clinical questions for
diagnosis and treatment.
The NYT - By Steve Lohr - Steve Lohr has reported on the way
technology is changing the work force for more than a decade.
June 8, 2026
Dr. Nicholas Gavin, an emergency medicine doctor at Mount
Sinai in New York City, was working an overnight shift last summer when a
patient came in with a puzzling set of symptoms. Within seconds, his three
younger colleagues — two medical students and a resident — were consulting a
free artificial-intelligence-powered app for physicians, OpenEvidence.
Dr. Gavin soon learned that they were far from outliers. A third of Mount Sinai’s 9,000 doctors were already regular OpenEvidence users, the health system’s executives found out in a meeting last year with the start-up’s leaders.
“That was an ‘aha’ moment for our leadership,” said Dr. Gavin, who is also the system’s chief clinical innovation officer.
OpenEvidence’s A.I. app, essentially a chatbot for medicine, has become a viral hit with physicians. Talk to a doctor and chances are he or she uses the app to ask specific medical questions or bounce ideas off it in a diagnostic dialogue.
More than half of the nation’s physicians are regular users. Last month, they used it for 30 million questions and consultations, nearly twice the volume from six months earlier, according to the start-up. A separate survey last year of 1,000 physicians found that 45 percent of them used the app, nearly triple the percentage who used ChatGPT, according to Offcall, a career information service for doctors.
That growth propelled the start-up to a $12 billion valuation in January, up from $3.5 billion last July.
But doctors’ quick adoption of the app since its introduction in 2024 — one of a handful of A.I.-enhanced programs on the market seeking to win over physicians — has heightened concerns about how and when the technology should be used in life-or-death situations. In a high-stakes field like medicine, health care systems are navigating thorny matters of patient privacy, safety and trust, as well as the limitations of the technology itself.
“It’s not an oracle, it’s a tool,” said Daniel Nadler, founder and chief executive of OpenEvidence. “Knowledge and knowledge workers still matter.”
The doctor’s office has been a target for computer-assisted decision making for decades, with very limited success until the recent advances of A.I.
The first wave of A.I. in medicine focused on easing the heavy burden of documentation that contributes to physician burnout with transcriptions and summaries of patient visits, called A.I. scribe software. The second wave, which is just getting underway, aims to use A.I. to assist doctors with reliable information and advice to guide diagnosis and treatment while at a patient’s bedside.
The competition has intensified in recent months. UpToDate, a popular legacy electronic reference for doctors, has given its service an A.I. makeover with a chatbot interface. Doximity, an online professional network for physicians, bought an A.I. start-up that mines medical literature and generates summaries. Abridge, a fast-growing A.I. scribe maker, is adding decision-support tools. And last month, OpenAI introduced ChatGPT for Clinicians.
OpenEvidence became a front-runner in part because it exclusively used medical journals and other high-quality research as data to train its A.I. models. Physicians can ask the app specific questions or enter the characteristics and symptoms of a patient and ask for potential explanations. The app is compliant with the federal law that protects patient health information, and physicians are told not to enter any personally identifying information.
OpenEvidence responds with a summary of most likely diagnoses, and then offers other “most important not to miss diagnoses.” Each has links to the research articles that inform the summaries.
“A.I. is solving some of the problems that have long plagued the practice of medicine,” said Dr. Raja-Elie Abdulnour, chief clinical innovation officer at NEJM Group, which publishes The New England Journal of Medicine. “These tools just didn’t exist before, and that’s why people are so excited about them now.”
Yet the early enthusiasm should be tempered with a large dose of caution, medical experts agree. The research so far into the benefits and shortcomings of A.I. in medicine is decidedly mixed.
A.I. has aced standard licensing exams and outperformed human doctors in diagnosing certain cases. But A.I. has also stumbled, failing to accurately summarize research papers or giving wrong answers to diagnostic questions. And it isn’t going to replace humans anytime soon.
“The potential for A.I. is great, but we’re not there yet,” said Dr. Eric Topol, a cardiologist and an executive vice president at Scripps Research in San Diego. “It hasn’t really been tested and demonstrated in the messy, real world of medicine.”
(to be continued)
Translation
遇到棘手的醫學問題?你的醫生可能使用人工智能解决
(1/2)
OpenEvidence 是一家快速發展的新創公司,它正利用人工智能幫助醫生找到臨床診斷和治療問題的答案
去年夏天,紐約市西奈山醫院的急診醫生Nicholas Gavin值夜班時,一位有令人費解症狀的病人前來就診。幾秒鐘之內,他的三位年輕同事 - 兩名醫學生和一名住院醫師 - 就開始使用一款名為 OpenEvidence 的免費人工智能醫生應用程式去診斷。
Gavin醫生很快就發現,他們絕非異類。西奈山醫院的9,000名醫生中,有三分之一已經是
OpenEvidence 的經用使用者。去年,這醫療機構的管理層在與這家新創公司的領導人會面時得知了這一情況。
同時也是該智能系統的首席臨床創新官的 Gavin醫生說道:「這對我們的領導層來說是一個『頓悟』時刻」。
OpenEvidence 的人工智能應用程序,本質上是一個醫療聊天機器人,已在醫生群體中迅速走紅。随便問一個醫生,他們很可能都使用這款應用程式來諮詢特定的醫學問題,或在診斷對話中與它交流想法。
超過一半的美國醫生都是這款應用程式的經常用戶。據這家新創公司稱,上個月,他們使用該應用程式進行了
3,000 萬次諮詢和問詢,幾乎是六個月前的兩倍。去年一項針對
1,000 名醫生的獨立調查發現,45%
的醫生曾使用過這款應用程序,幾乎是
ChatGPT 用戶比例的三倍。這項調查的數據來自醫生職業資訊服務平台
Offcall。
這一成長推動這家新創公司在今年
1 月的估值達到
120 億美元,而去年
7 月的估值為 35
億美元。
但自2024年推出以來,醫生們對這款應用程式的快速接受度 - 它是市場上為數不多的幾款旨在贏得醫生青睞的人工智能增強型程式之一 - 加劇了人們對這項技術在生死攸關的情況下應該如何以及何時使用的擔憂。在醫療如此高風險的領域,醫療保健系統正在努力應對棘手的病患隱私、安全和信任問題,以及科技本身的限制。
OpenEvidence的創始人兼執行長
Daniel Nadler表示: 「它不是神諭,而是一種工具」;
「知識和知識工作者仍然至關重要」。
幾十年來,醫生辦公室一直是用電腦去輔助診症的目標場所,但直至人工智能最近取得大進展之前,其應用非常有限。
第一波人工智能在醫學領域的應用主要集中在減輕醫生因繁重的文件工作而導致的職業倦怠,其方式是透過轉錄和總結患者就診記錄,即所謂的人工智能記錄軟件。第二波浪潮剛興起,旨在利用人工智能為醫生提供可靠的資訊和建議,以指導他們在患者床邊進行診斷和治療。
近幾個月來,競爭日益激烈。廣受歡迎的傳統電子參考資料平台 UpToDate 為其服務進行了人工智能改造,新增了聊天機器人介面。向醫生提供線上專業網路的 Doximity 收購了一家人工智能新創公司,該公司挖掘醫學文獻並提供摘要。快速發展的人工智能醫療記錄工具 Abridge 正在添加決策支援工具。上個月,OpenAI 推出了臨床醫生的 ChatGPT。
OpenEvidence 之所以能成為領跑者,部分原因在於它完全使用醫學期刊和其他高品質研究作為資料來訓練其人工智能模型。醫生可以向該應用程式提出具體問題,也可以輸入患者的特徵和症狀,並尋求可能的解釋。這款應用程式符合保護患者健康資訊的聯邦法律,醫生被告知不得輸入任何個人識別資訊。
OpenEvidence 會提供最可能診斷的摘要,並提供其他「不容錯過的重要診斷」。每個摘要都附有相關研究文章的連結。
出版《新英格蘭醫學雜誌》的 NEJM Group 的首席臨床創新官 Raja-Elie Abdulnour 醫生表示:「人工智能正在解決一些長期困擾醫學實踐的問題」;「這些工具以前根本不存在,所以人們現在對它們如此興奮」。
然而,醫學專家一致認為,早期的熱情應該伴隨著大量的謹慎。目前關於研究人工智能在醫學領域的益處和不足的結果是明顯地參差。
人工智能已經順利通過了標準的執業資格考試,並在某些病例的診斷上超越了人類醫生。但人工智能也曾失手,例如無法準確總結研究論文,或對診斷問題給予錯誤答案。而且,它在短期內也不會取代人類。
Eric Topol博士是心臟科醫生,也是聖地亞哥Scripps研究所的執行副總裁説: 「人工智能的潛力巨大,但我們尚未達到目標」; 「它還沒有在紛繁複雜的真實醫學世界中經過實際考驗和證實」。
(待續)