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🇺🇸 Trump’s AI Plans: Less Regulation, More Risk?

ALSO: Researchers say AI transcription tool used in Hospitals invents things, the Smartwatches that can predict parkinson’s disease, Oracle to launch new AI-powered EHR system

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Welcome AI & Healthcare enthusiasts!

Trump’s return could mean looser AI rules, with healthcare and tech feeling the first impacts. OpenAI’s Whisper tool is under scrutiny for hospital use, as it sometimes fabricates phrases that make their way into patient records. Plus, smartwatches are advancing beyond fitness and into early diagnosis, and Oracle is preparing an EHR platform to revolutionize patient data.

Let’s dive in!

Victor

TODAY’S MENU

  • What Trump’s Victory Could Mean for AI Regulation

  • Researchers Say AI Transcription Tool Used in Hospitals Invents Things

  • The Smartwatches That Can Predict Parkinson’s Disease

  • Oracle To Launch New AI-powered EHR System

  • Everything Else You Should Know this Week

    Read time: under 5 minutes

US ELECTION

Trump hasn’t said much about AI, until now. Recently, he opened up with tech heavyweights, calling AI “scary” but crucial to beat China. His stance? Minimal rules to keep innovation moving fast. He’s set on rolling back Biden’s AI regulations, aiming for industry-led safety checks and a push to outcompete China.

Here’s what Trump’s win could mean for the future of AI:

1. Dismantle Biden’s AI Order “On Day One”

Trump has pledged to repeal Biden’s AI executive order on his first day back, preferring industry-led safety standards. This rollback removes federal-level safeguards, creating regulatory gaps that states may try to fill.

2. Launch A “Manhattan Project” for AI Defense

Expect Trump’s administration to push heavily for defense-focused AI R&D. With partnerships for military use cases, contractors like Palantir could benefit from new funding, all aimed at countering China’s AI advancements.

3. Reduce NIST’s AI Safety Role

Biden tasked NIST with overseeing AI safety standards to prevent misuse. Trump’s administration could scale back NIST’s focus to emphasize only physical safety, sidelining AI ethics and bias initiatives established under Biden.

4. Tighten Export Controls on China

Trump has advocated for more restrictive trade policies. He could tighten AI-related export controls to curb China’s access to U.S. AI tech, further escalating the tech competition between the two countries.

5. Toward more State-Level AI Regulation

Without a federal framework, states, especially Democratic ones, may step up to create their own AI standards, leading to regulatory inconsistencies. Companies would face a fragmented legal landscape, with different compliance requirements across states.

Why It Matters: Trump’s “light-touch” approach promises more flexibility and faster innovation, popular among tech investors who’ve criticized federal AI policies. However, removing national-level standards could lead to regulatory confusion, with potential long-term effects on safety and oversight.

OPENAI

OpenAI’s Whisper, widely used in hospitals, has raised red flags by generating fictional phrases in 1% of transcriptions—a serious risk in medical contexts where every detail matters. When errors slip into patient records, the stakes are high.

The Details:

  • Whisper, integrated into Nabla’s tool, is used by 30,000 clinicians and 40 health systems in the US and have already transcribes 7 million medical conversations.

  • A recent Cornell-UW study found that Whisper fabricates phrases in about 1% of transcriptions, sometimes inserting phrases with violent tones or random expressions like “Thank you for watching.”

  • Researchers found errors often occur in silent moments, especially affecting patients with speech impairments.

  • In response, Nabla’s team added a secondary AI layer to verify factual accuracy.

Why It Matters: As AI transcription tools become more common in healthcare, ensuring they produce reliable, fact-checked records is essential. Nabla’s proactive adjustments highlight the industry need for robust safety layers to address the unique risks posed by AI hallucinations.

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WEARABLES

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With 400 million smartwatches expected to hit the market by 2027, these devices are now reshaping early diagnosis in healthcare. Recent trials reveal that smartwatches can detect early warning signs of conditions like Parkinson’s and heart disease, offering clinicians a critical tool for early intervention.

Key Details:

  • Pre-Surgical Use: At CHUV University Hospital, patients wear the Masimo W1 smartwatch weeks before surgery to monitor heart rate, respiration, and oxygen levels. Data collected forms a “digital twin” to assess risk and anticipate potential complications.

  • Parkinson’s Detection: Cardiff University’s study with over 100,000 participants shows that motion data from smartwatches can detect signs of Parkinson’s disease up to seven years before diagnosis.

  • Heart Health: Mayo Clinic researchers are using smartwatches to monitor heart irregularities, such as atrial fibrillation, in real-time, leading to preventive treatments and reducing stroke risks in high-risk patients.

  • Future Applications: Smartwatches may soon aid in epilepsy management, alerting patients before seizures, and even predict asthma attacks, enabling tailored, preventive care across multiple conditions.

Why It Matters: We’re seeing a real shift from fitness trackers to smartwatches as essential tools for health. These devices are moving beyond fitness tracking to actually spotting potential health issues early—like a warning signal for your heart or brain—helping doctors get ahead of problems before they become critical.

CLINICAL INNOVATION

Credit: Oracle

Oracle Health has revealed its new electronic health record (EHR) platform, set for a 2025 release, which incorporates Oracle’s advanced cloud and AI capabilities. This platform represents a shift from traditional record-keeping to a system that dynamically enhances clinical workflows, decision-making, and patient outcomes.

Key Details:

  • Built on Oracle Cloud Infrastructure (OCI), this EHR uses AI to automate tasks, providing clinicians with instant access to patient data from over 300 sources, including social determinants and pharmacy information.

  • Oracle’s Health Data Intelligence module leverages patient data to suggest tailored care plans, potentially reducing trial-and-error treatments and personalizing healthcare delivery.

  • Oracle is pursuing Qualified Health Information Network (QHIN) status under TEFCA to advance secure and standardized data sharing, furthering its commitment to interoperability across healthcare networks.

Why It Matters: With healthcare interoperability taking center stage, Oracle’s ambitious transition to a QHIN-approved platform highlights its goal to become a central data exchange hub, enabling smoother information flow, streamlined treatment authorizations, and more effective, data-driven care coordination across the healthcare ecosystem.

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Must-Read AI Healthcare News This Week

Apple unveils hearing health tools for AirPods Pro 2: Cupertino’s Audio Lab team designed AI-powered features like an at-home hearing test and Hearing Aid mode, assisting mild to moderate hearing loss.

ChatGPT upgrades search with real-time web access: Users can now pull live data for news, sports, stocks, and more, linking directly to credible sources. Now accessible to ChatGPT Plus and Team users, rolling out soon for Free.

Elon Musk’s xAI taps medical scans to train AI chatbot: Users are encouraged to submit x-rays, MRIs, and PET scans for Grok’s development, with Musk seeking feedback to refine the AI’s image analysis accuracy.

Scientists develop fast affordable cancer test from single drop of blood: University of Rochester researchers develop CAD-LB, a method using ultrathin membranes to capture extracellular vesicles for quick, cost-effective cancer screening and immune therapy tailoring.

FDA clears application for CRISPR RNA-editing therapy developed using AI: The VC firm targets early and late-stage companies deploying AI to address clinical and operational challenges in healthcare.

AI-powered healthcare makes into Time’s 2024 Best Inventions list: With 37 healthcare innovators celebrated, highlights include AI tools like Abridge’s scribe for doctors, Laguna Insight’s care management platform, and DeepMind’s AlphaFold 3 for drug discovery.

INBRAIN secures $50M to advance graphene brain-computer interfaces: The AI-driven BCI tech, designed for precision neurology, enters clinical trials for neural modulation and partners with imec for commercial scaling.

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