clinical decision support AI News List | Blockchain.News
AI News List

List of AI News about clinical decision support

Time Details
2026-01-14
20:16
AI in Healthcare: ARPA-H Launches $50M PCX Program to Accelerate Pediatric Cancer Care Using Data Sharing Across 200+ Hospitals

According to @AnthropicAI and @ARPA_H, the ARPA-H Pediatric Care eXpansion (PCX) program is investing $50 million to develop an advanced data-sharing platform connecting over 200 pediatric hospitals across the United States, starting with pediatric cancer cases (source: x.com/ARPA_H/status/2011525209111793751; arpa-h.gov/news-and-events). The initiative leverages AI-powered analytics to help doctors rapidly access relevant case data, compare complex cases, and streamline diagnosis and treatment pathways. By integrating AI-driven insights with real-world patient data, the PCX program aims to reduce the average pediatric cancer care journey from years to weeks, enabling faster, evidence-based decision-making and improving patient outcomes. This project highlights significant business opportunities for AI solution providers specializing in healthcare data interoperability, medical analytics, and clinical decision support.

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2025-09-06
18:51
GPT-5 Pro as an AI Assistant for Physicians: Transforming Clinical Decision-Making with Specialist-Level Insights

According to Greg Brockman (@gdb), GPT-5 Pro is positioned to serve as an advanced AI aide for physicians, offering clinical insights on par with top subspecialists at leading medical centers such as Mayo Clinic (source: Greg Brockman, Twitter, Sep 6, 2025). This suggests that GPT-5 Pro can assist healthcare professionals with complex case analysis, differential diagnosis, and treatment planning, leveraging vast medical data and the latest research. The integration of GPT-5 Pro into clinical workflows could enhance diagnostic accuracy, reduce medical errors, and improve patient outcomes, presenting significant business opportunities for AI vendors in healthcare. The AI's ability to deliver specialist-level recommendations at scale addresses the shortage of expert physicians and supports telemedicine expansion, making advanced care accessible even in underserved regions.

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