AI Still Struggles With Clinical Reasoning Despite High Diagnostic Accuracy, Study Finds
Analysis of 21 models shows gaps in early-stage decision-making, reinforcing need for clinician oversight as AI tools enter care settings.
Analysis of 21 models shows gaps in early-stage decision-making, reinforcing need for clinician oversight as AI tools enter care settings.
AI is starting to touch maintenance, documentation, and device risk management in practical ways. Here’s where HTM leaders are likely to see the biggest impact in 2026.
The new radiology services suite introduces AI-supported reporting tools and expanded remote scanning and reading options, while Siemens Healthineers is enhancing its advisory services with an AI-powered “Operational Twin” to help hospitals model workflows and optimize imaging operations.
Analysis of 21 models shows gaps in early-stage decision-making, reinforcing need for clinician oversight as AI tools enter care settings.
The FDA-cleared system uses artificial intelligence to create interactive 3D models from standard medical scans for preoperative planning and intraoperative guidance.
Read MoreThe agency is requesting public comment on methods for monitoring and evaluating AI models after deployment to ensure continued safety and effectiveness.
Read MoreThe platform automates calls, messages, and web chats for tasks like appointment booking, reminders, payments, and triage, reducing hold times and freeing up staff time.
Read MoreThe designation will expedite the review process for the CT-based artificial intelligence, which flags numerous acute conditions simultaneously.
Read MoreThe platform is designed to automate the capture of supplies and implants in procedural rooms to improve data for billing and operations.
Read MoreThe updated platform is designed to shorten the time between cancer diagnosis and treatment by streamlining clinical workflows.
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The research suggests AI may help identify more aggressive breast cancers and perform comparably to experts in breast cancer screening.