The AI purchase your practice cannot evaluate (and what to check)
Independent practices carry the same legal, regulatory and clinical exposure as large health systems when they buy AI tools, but none of the informatics oversight — here is the five-question framework to close that gap.
STAT+: What to expect from UniQure’s upcoming Huntington’s gene therapy readout
Before the end of September, UniQure is expected to report four-year results from the closely tracked clinical trial of its gene therapy for Huntington’s disease.
STAT+: ARPA-H to invest $62 million to develop FDA-authorized AI to help treat heart failure
ARPA-H, the government agency that funds cutting edge health research, plans to commit $62.7 million to develop artificial intelligence bots that direct treatment of heart failure.
Natural Language Processing Identification of Nonprescribed Fentanyl Use in Electronic Health Records: Algorit
Background: Overdose and suicide due to nonprescribed fentanyl use have increased significantly, yet health care systems lack reliable methods to identify patients who use nonprescribed fentanyl. codes are inconsistent a
Proximie launches largest ever surgical AI evaluation with AWS, Deloitte, and the NHS
Proximie, the operating system for intelligent operating rooms, in collaboration with Amazon Web Services (AWS), Deloitte, and eight NHS hospitals, has announced the launch of the largest ever surgical AI evaluation unde
Trust AI Brings VELMENI Dental AI Into Isaac PracticeOS
Trust AI wires VELMENI’s FDA-cleared dental AI directly into Isaac PracticeOS — turning radiographs your practice already took into documented, reviewed, submitted claims. Trust AI recently announced a native integration
The One Seat in Your Practice Nobody Is Building AI For
Written by: Bryan Greene Count the AI pitches that reached your practice in the last month. If you run a typical office, it was more than you bothered to open. Dozens of companies now sell an AI receptionist built for de
Patients Want to Know When Their Doctors Use AI. Should Practices Tell Them Everything?
Artificial intelligence may be quietly becoming part of a patient’s medical appointment. It can help analyze an image, assist with clinical decisions, summarize information or listen to a physician-patient conversation a
Resources for Screening, Staging, and Treating Cardiovascular-Kidney-Metabolic Syndrome
Approximately 90% of adults in the U.S. are at risk for or have CKM syndrome, making early recognition and longitudinal assessment essential to preventing irreversible disease progression. As frontline providers treating
Saving Knowledge Before It Retires: The Case For Ambient AI As Clinical Wisdom Infrastructure
We are facing a nursing knowledge shortage dressed in workforce statistics. The headcount problem has no good solution. The knowledge problem does, but only if we act before the people who carry that ...
How Lifepoint Health Is Using AI to Give Nurses Their Time Back
Michelle Watson, Lifepoint Health’s chief nurse executive, believes ambient listening and AI-powered patient prioritization are helping nurses reclaim time on tasks that don’t require clinical judgment. The goal is to fr
Nurses must take lead on governing the AI that's changing their workflows
As documentation automation spreads, health systems must preserve clinician verification, define accountability, and give frontline nurses authority from vendor selection through ongoing oversight.
Kaiser nurses push back on AI monitoring of call times: Report
Call center nurses at Oakland, Calif.-based Kaiser Permanente say the health system uses AI to monitor how long they spend on patient calls and presses ...
nPhase launches AI clinical data management platform to soup up sponsor trial design
Clinical research company nPhase has launched an end-to-end clinical data management platform designed to help trial sponsors leverage trial results with AI.
Usability and Workflow Integration of a Machine Learning–Derived Neonatal Risk Predictor in Kenyan Neonatal Un
Background: Neonatal mortality remains a leading contributor to under-5 deaths globally, particularly in low- and middle-income countries (LMICs). While machine learning (ML)–based risk prediction models show promise for
ARPA-H picks UpDoc, Tempus and Atman to build AI tools for heart disease
UpDoc, Tempus AI and Atman Health will participate in a new program that aims to build FDA-authorized agentic AI tools to care for people with heart disease, the federal government announced Wednesday. Called ADVOCATE, t
Healthcare Executives Weigh In: AI Readiness and the Growing Risk of Cybersecurity Threats
[Sponsored] A webinar scheduled for September 30 from 1pm to 2pm ET will review the 2026 Healthcare AI Readiness Index and highlight some of the report’s takeaways, exploring the operational, regulatory and security chal
Four Things Healthcare Teams Get Wrong When Signing an AI Vendor BAA
The following is a guest article by Mat Steinlin, Head of Information Security at Aptible Healthcare organizations have gotten better at asking the first AI compliance question: “Will the vendor sign a BAA?” If an AI ven