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In the News

NSA Admits Secretly Buying Your Internet Browsing Data without Warrants

January 30, 2024

NSA admits buying internet browsing records from data brokers, despite requiring court order, says Senator Ron Wyden. Metadata exposes serious privacy risk as personal details could be inferred. Wyden pushes for only lawfully obtained data purchase. NSA claims minimized U.S. data collection and rejects U.S. location data use without court order. Disclosure follows FTC bans on companies selling precise location data without informed consent. Dubbed "shady", data broker practices operate in legal gray area and lack transparency, with third-party apps selling user location data without notification.

NSA Admits Secretly Buying Your Internet Browsing Data without Warrants The Hacker News

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Q&A: Why MemorialCare Values Partnerships for Healthcare Cybersecurity

January 30, 2024

MemorialCare's IT VP, Kevin Torres, boosts cybersecurity by partnering with experts, concentrating on basics and updating defenses quickly. Torres benchmarks against peers using annual benchmarks and direct evaluations, following the NIST framework and monitoring systems using 24/7 SIEM systems to detect adverse events. They use CDW's insights for tool and process implementation. MemorialCare and CDW work closely through timely communication on cybersecurity issues. In their cloud journey, CDW aids with off-site backups and system recovery.

Q&A: Why MemorialCare Values Partnerships for Healthcare Cybersecurity HealthTech Magazine

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Elon Musk's Neuralink implants brain tech in human patient for the first time

January 30, 2024

Musk's Neuralink implants device in human; patient recovers. Aim: help severe paralysis patients control external tech with neural signals. Telepathy product could let degenerative disease patients communicate, type mentally. Commercialization requires intense safety tests, FDA approval. Undefined numbers in initial trial.

Elon Musk's Neuralink implants brain tech in human patient for the first time CNBC

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AI-Generated Clinical Summaries Require More Than Accuracy

January 30, 2024

Generative AI, specifically Large Language Models (LLMs), are advancing in the medical sector, aiding in summarizing patient data. However, without FDA oversight, they could reach clinics without safety and efficacy checks. Current EHRs' inefficient info access and excessive content lead to physician burnout and clinical errors, which LLMs could reduce. Variation in LLM-generated summaries might impact clinician decisions. These AI tools require comprehensive standards testing and more explicit FDA regulation given their capacity to alter clinical interpretations and promote potential errors. Existing FDA regulatory safeguards don't clearly cover the unique risks of language-based AI. Transparent standards development and clinical studies are crucial for safe LLM application in clinics.

AI-Generated Clinical Summaries Require More Than Accuracy JAMA Network

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Insights by Kate Gamble
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