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Monday, 31 August 2026 Reading Room

AI

One note in three: a verified census of three deployed AI scribes, and the instrument that counted it

Ambient AI scribes draft clinical notes under the reassurance that a clinician signs every note. We audited three commercial AI scribes on the same 142 consultations: 565 notes from recorded UK primary-care and US ambulatory encounters plus authored scenarios. Twelve discovery passes proposed 13,678 candidate errors; the 5,898 clearing an importance filter went to an adversarial panel of two…

arxiv.org ·

We haven't written up this one. arXiv cs.AI has the full story — the link below goes straight to it.

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More in AI

‘Superhuman’ AI tool spots heart disease in less than 2 seconds

Technology trained on millions of routine ECGs could fast-track high-risk patients for treatment Doctors have developed a “superhuman” AI tool that can spot heart disease in less than two seconds. The groundbreaking technology has been trained on millions of patients and works by extracting more information from a routine…

·theguardian.com

‘Superhuman’ AI tool spots heart disease in less than 2 seconds

Technology trained on millions of routine ECGs could fast-track high-risk patients for treatment Doctors have developed a “superhuman” AI tool that can spot heart disease in less than two seconds. The groundbreaking technology has been trained on millions of patients and works by extracting more information from a routine…

·theguardian.com

‘Superhuman’ AI tool spots heart disease in less than 2 seconds

Technology trained on millions of routine ECGs could fast-track high-risk patients for treatment Doctors have developed a “superhuman” AI tool that can spot heart disease in less than two seconds. The groundbreaking technology has been trained on millions of patients and works by extracting more information from a routine…

·theguardian.com

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