Lapsi Health adds emergency doctors' guidance to its Keikku clinical AI
Lapsi Health, which makes the Keikku clinical AI platform, will add the clinical policies of the American College of Emergency Physicians (ACEP) to Keikku Reference, its cited clinical reference tool, according to a press release. The collaboration has no commercial terms, and ACEP remains the owner of its content.
Keikku Reference answers clinicians' questions using the patient's record, earlier sessions, the live consultation as Keikku's AI scribe captures it, and lab and imaging results as they arrive. With ACEP's policies included, an urgent care clinician asking whether a patient can be treated on site or needs to go to an emergency department gets an answer grounded in ACEP guidance and that patient's findings.
Every answer is cited, and Lapsi says every decision stays with the clinician. ACEP's policies are written by its clinical policies committee and approved by its board.
We hope you enjoyed this article
Consider subscribing to one of our newsletters like Enterprise AI Brief, Life AI Weekly or Daily AI Brief.
Also, consider following us on social media:
More from Enterprise
Nov 12 Mindmatrix pairs its AI sales platform with Bodine and Co.'s partner-programme consulting Nov 12 Pave adds WTW's compensation survey data to its AI pay tools Nov 12 Norwest raises $4 billion fund, its largest, to invest more in AI startups Nov 12 Unio Health Partners deploys Basata's AI agents for patient intake across 60 specialty clinics Nov 12 Infor and Anthropic let manufacturers act in Infor's systems from ClaudeMore from Life Sciences
Nov 12 NHS England deletes claim that 137 hospital trusts benefit from Palantir's AI data platform Nov 12 Trial finds ChatGPT helped oncologists record more chemotherapy side effects, but patients did no better Nov 12 Unio Health Partners deploys Basata's AI agents for patient intake across 60 specialty clinics Nov 12 LERA Health launches women's health platform with an AI coach for $29 a month Nov 12 DIAGENS releases CT model covering 509 chest and abdominal findingsEnterprise AI Brief
Weekly report on AI business applications, enterprise software releases, automation tools, and industry implementations.
Whitepaper
Tensordyne Napier: What If One Rack Could Do the Work of Nine?
Tensordyne
This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.
Read moreYou may also like
Kipu Health Launches AI Agent for Behavioral Health Reviews
OpenEvidence licenses American College of Physicians guidance and Annals of Internal Medicine content
ACL Digital Launches AgentixCare for Healthcare Operations
wisepatientAI Launches AI Search for Medical Records
Kipu Health Plans ELEVATE 2027 AI Preview for May
Daily AI Brief: the AI news that matters, in your inbox.