Bryan Thomas Arkwright

Telemedicine.com is joining @saicinc, @ArcadiaHealthIT, @CastlightHeath Covista, @missionmobileNC, @trubridge and @Walgreens as part of the Alliance for Advancing Rural Healthcare (AARH). Learn more on how this helps states advance rural health transformation. (link to press release) #PartnershipPowerSAIC Launches Alliance to Accelerate State-Led Execution of $50 Billion Rural Healthcare Transformation Program globenewswire.com/news-release/2… @TeleMedicineInc

Top 11 agentic AI uses in healthcare 🤔 Thanks @BeckersHR beckershospitalreview.com/healthcare-inf…

Thanks to @HDBernd for making this photo available on @unsplash 🎁 unsplash.com/photos/a-large…

Thanks to @imPatrickT for making this photo available on @unsplash 🎁 unsplash.com/photos/gray-co…

Cleveland Clinic deepens Silicon Valley ties for innovation beckershospitalreview.com/healthcare-inf…

Thanks to Vitaly Gariev for making this photo available on @unsplash 🎁 unsplash.com/photos/doctor-…

Thanks to Vitaly Gariev for making this photo available on @unsplash 🎁 unsplash.com/photos/doctor-…

Louisiana seeks money for digital records, tuition incentives from $50B rural health care fund lailluminator.com/2025/09/16/lou…

Untangling the Current Debate Around Federal Medicaid Cuts, the “Rural Health Transformation Program” and State Medicaid Budgets ccf.georgetown.edu/2025/09/02/unt… via @GeorgetownCCF

5 concerns raised during House hearing on health AI statnews.com/2025/09/03/art… via @statnews

Megalodon 🦈 grounds genAI for chemistry in physics: an E(3)‑equivariant transformer considers rotational symmetry while QM‑energy checks keep outputs within ~3 kcal/mol of xTB minima so that nearly every molecule is designed thermodynamically realistic. 🔥⚛️ Try it out today.👇 #AIForScience #DrugDiscovery

AI agents are the future, but how well do you understand them? This one-page guide breaks down everything you need to know about AI agents: from how they work to where they're used 👇 1. Core Concepts That Power Agents Understand key ideas like Goal Decomposition, Self-Reflection, Memory, and Multi-Agent Collaboration to grasp how agents reason and act autonomously. 2. Capabilities You Should Expect Modern AI agents can scrape web data, call APIs, execute code, retrieve documents (RAG), and even handle multi-step planning with tool orchestration. 3. Tools, Frameworks & Libraries From LangChain and AutoGen to LangGraph and Superagent, these frameworks help developers build, host, and monitor smart agent workflows. 4. Real-World Applications Think beyond chatbots. Agents are now used for content generation, meeting automation, research, data cleaning, CRM updates, and even test refactoring. 5. Challenges & Risks AI agents can hallucinate, loop indefinitely, or misuse tools. Watch out for token costs, data privacy risks, and debugging complexity in production. AI agents are not just a trend, they’re a paradigm shift. If you understand their architecture, tech stack, and risks, you’re already ahead of 90% of the market. Which of these areas do you want to explore deeper? 👇

Super important paper on the limits of AI in decision-making, especially as the "AI first" trend escalates and we try to understand cases where AI should NOT be used. Key takeaways from the paper: - AI and humans have comparative advantage in different types of decisions. - AI is well-suited to decisions grounded in historical regularities and population-level patterns. - AI is ill-equipped to handle actor-specific decisions. - Actor-specific decisions are defined by four interrelated criteria (FIRE). They are: 1. Forward-looking 2. Individual and idiosyncratic 3. Rooted in causal reasoning 4. Dependent on some form of experimental intervention - For effective decision making, the challenge is not merely the bounded rationality of humans, but their capacity to frame new problems and to construct the relevant models and data needed to solve them. - There are conditions under which decision making must rely on uniquely human capacities, particularly: 1. In settings where the future cannot be inferred from the past 2. Where individuality matters and idiosyncrasy reigns 3. Where problem solving requires theory-based reasoning and experimental intervention rather than pattern replication. - Human rationality is bounded, but AI is bounded as well, especially when: 1. Navigating novelty 2. Constructing futures 3. Creating value through actor-specific paths - *Congratulations to the paper authors @teppofelin, Mari Sako, and @JessicaHullman! 👉 Download the paper below. 👉 Never miss my updates and paper recommendations: join my newsletter's 63,600+ subscribers (link below).

Millions of patients – including many seniors – rely on #virtualcare. In Q1 2024, #telehealth was utilized by nearly 3 million Medicare beneficiaries, with 83% of those being over the age of 65. Lawmakers must act NOW to protect telehealth flexbilities:

I read the entire 340 page "AI Trends" report by legendary investor Mary Meeker which was released 48 hours ago. Mary used to publish the famous annual “Internet Trends” before most of us were born - her insights are invaluable. Sharing 10 takeaways from this report ⤵️

If you are using #LLM or integrating them into your products, you should read this! We curated 98 must-read #NeurIPS papers on LLM safety, highlighting emerging trends for improving model security, like BackdoorAlign and WildTeaming at scale. Check it out: bit.ly/4mJXXij

Epic introduces Launchpad to fuel faster generative AI adoption among providers fiercehealthcare.com/ai-and-machine…

The Intersection of AI, Digital Health, and the TCPA: What You Need to Know | Foley & Lardner LLP foley.com/p/102kcrt/the-…

4 health systems (NC, TX, NJ, & MI based) invest in AI startup, RadAI: 6 notes on RadAI's $68M Series C beckershospitalreview.com/healthcare-inf…