Muhammad Arrabi

Built an AI-powered chatbot on the "SRO-1423-of-2023 Essential Medicines List (Pakistan)" by Drug Regulatory Authority of Pakistan using OpenAI embeddings, GPT-3.5, Langchain, and FAISS to deliver retrieval-based answers on approved medicines like Paracetamol, Insulin, and Metformin. Open to feedback and ideas! 😊

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I shared a short reflection on Hit Refresh by Satya Nadella in CTech by Calcalist. What stood out to me is how central empathy and mindset were to Microsoft’s turnaround - not as “soft” values, but as real leadership tools in a period of deep technological change. It’s also a reminder that as AI accelerates, the human layer of leadership matters more, not less. If you’re thinking about leadership, transformation, or the kind of culture we’re building in tech, you might find it interesting. https://lnkd.in/dQiVu9Cm

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Intersection of AI and healthcare With the release of a new research paper entitled "Sequential Diagnosis with Language Models", Harsha Nori and a team of researchers from Microsoft are blowing the minds of the broader health tech ecosystem Microsoft's MAI-DxO system orchestrated multiple AI models from OpenAI, Gemini, Claude, Llama, Grok, and DeepSeek to collaborate like a medical team. MAI-DxO is a model-agnostic orchestrator that simulates a panel of virtual physicians. SDBench introduces a new benchmark that transforms 304 New England Journal of Medicine cases into interactive diagnostic simulations. AI must ask questions, order tests, and weigh costs, mirroring the complexity of real clinical decision-making. When tested on 304 challenging cases from the New England Journal of Medicine against 21 experienced physicians, the results were: 80% to 85.5% diagnostic accuracy for AI vs. 20% for human doctors. What are your thoughts? How do you see AI evolving in healthcare settings? #AI #Healthcare #MedicalAI #Innovation #DigitalHealth Link to research paper: https://lnkd.in/g83CaM66

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The software development landscape is undergoing a significant transformation as AI agents become integral to the process. Yoko Li's recent article, "Emerging Developer Patterns for the AI Era," delves into nine key patterns that illustrate this shift. From rethinking version control with AI-native Git to evolving dashboards into dynamic, conversational interfaces, these insights are crucial for professionals navigating the intersection of AI and software development. As we integrate AI more deeply into our workflows, how do we adapt our tools and mindsets to collaborate effectively with these new digital teammates? Read the full article here: https://lnkd.in/gxkjwdpM #AI #SoftwareDevelopment #Innovation

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Scribes, AI or otherwise, are completely useless in healthcare. You CANNOT document patient encounters with "notes" in language. All you've accomplished is putting paper records behind the glass of the monitor. That's stupid and you can tell that bizdiot Judy Faulkner I said so. You need a data driven EMR that is searchable and relatable. Before you say "mine is" or "AI," no it's not. Sentia has provided a data driven EMR that relates symptoms to observations to clinical measurements to lab results to diagnoses to treatments to outcomes. You can literally pick a list of symptoms and get her back a collection of cases with positive outcomes. You can't do that with language. It's also faster, easier and cheaper than typing "notes." Stop. You are doing it wrong. Start over with a real EMR that is built the way it should have been in the 70s if Judy had a brain in her head. Read this: https://lnkd.in/gR3ArMD9

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Autonomous AI systems will define the next decade—not as isolated tools, but as ethical, self-operating ecosystems that collaborate at scale. At OmniHealthAI, the focus is on building AI that is trusted, compliant, and globally deployable across healthcare, halal fintech, research, and enterprise operations. 2026 is the year AI moves from experimentation to ownership of outcomes.

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