Alternatives
Products that do what Asclevor Case Search does
Semantic search for clinical case records
- 1DA
2021 · docone.io
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Hi HN! I am Maria, solo founder of DataQA (https://dataqa.ai/), a tool to search and label documents for various NLP tasks (e.g. entity extraction, entity linking, etc). I have worked as a data scientist and ML engineer for the better part of a decade, and over that time have specialised mainly in applications involving natural language processing (NLP). One of the key questions I have always had at the back of my mind is whether my time was well spent. Whenever I spent more time on feature engineering or trying different models, I always wondered whether I would get better…
2021
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Instant access to medical record summaries inside athenaOne
2024
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After getting frustrated with macOS's Spotlight search, e.g., typing "driver license" doesn't give me anything unless the file name matches exactly, I thought, why not index my entire Documents folder? This way, I can find that one PDF or image buried deep in subfolders using natural language queries. So I built SmartSearch; it uses SentenceTransformers for embeddings and FAISS for fast similarity search. Best of all, it runs locally on your computer. Github: https://github.com/neberej/smart-search/ Demo:…
2025 · github.com
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- 18MO
Hey HN - we built Morphik MCP to solve a common problem: finding specific information across scattered technical docs. We've experimented with GraphRAG, ColPali, contextual embeddings, and more. MCP emerged as the solution that unifies these approaches. Features: - Multimodal search across text, diagrams, and videos - Natural language knowledge base management - Fully open-source with responsive support What sets MCP apart is its ability to return images (including diagrams) directly to the MCP client. Users have applied it to search over data ranging from blood tests to patents, and we use…
2025 · docs.morphik.ai
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Hey HN! Abboud Chaballout here - founder of Diagnoss - where we aim to free medical providers from the mundane. One of the tools we built reads clinicians' notes in real-time, as they are charting, to tee up diagnoses they can use for documentation purposes. You can try it here: (https://demo.diagnoss.com/) without downloading anything. The current workflow of doctors today requires them to (1) type out a patient encounter (e.g. "patient presents with chest pain") and then (2) use a search bar in their electronic health record system to search and add the chest pain diagnosis…
2022 · diagnoss.com
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Hi Hacker News! I’m the founder of DocOne (https://docone.io). DocOne delivers the most relevant physicians for any medical condition based on expertise. We currently cover all US physicians and ~4500 conditions. Why? The complexity of medicine is accelerating exponentially. Medical knowledge doubles every few months. To keep up, physicians are focusing on narrow groups of conditions. While there are only around 40 traditional medical specialties, in reality there are >500 ultra-specialties. If there’s one thing we’ve heard over and over from physicians (when they refer their…
2021
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Dear HN Community, I am a long time fan and first-time contributor. I just launched a developer focused semantic search platform and wanted to share it with the community. The idea is simple: upload structured or unstructured documents, select the fields you want to index and tag as metadata, and instantly get a clean search API you can use in your own app. Here is what it currently supports: - Manage your own tenants and projects - Upload .json and .txt files (support for .pdf, .docx, .xlsx, .yml, etc. coming soon) - Expose 3 APIs: search, upload document (embeddings), and delete document -…
2025 · aisearch.vpuna.com
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I am diagnostic radiologist with over 40 years experience. In diagnostic testing, many terms are used to describe how well the test detects the disease or disorder. Examples are “sensitivity”, “specificity”, “predictive values”, “odds ratio”, “likelihood ratios” and numerous others. In the literature and medical presentations there is often not much consistency in their use; as a physician listening to or reading research, I was perpetually unclear on how these terms “fit together”. My solution was to invent the visual 2 by 2 diagram, or truth diagram, as a graphical alternative to the…
Mar 2026 · kmrjohnson55.github.io
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We’ve just released SemHash v0.3.0, a major rework of our open-source text pre-processing library. We’ve added two new functionalities: outlier filtering & representative sampling. The core API has been reworked to make sure all of these features can be used together in an intuitive way. Our new features use the existing approximate nearest neighbors index that we already used for semantic deduplication, so they can be ran very quickly after building the index on your dataset. The core package can now be used for: - Semantic Deduplication: Remove semantic duplicates from your dataset. This…
2025 · github.com
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The idea is simple: a Python dictionary that uses semantic similarity during lookup. Say you're working on user preference extraction for an AI agent. In some cases, the model may output something like: ``` { "preference": "Database", "value": "sqlite3" } ``` but it (or a different model) may later request the user preference using a subtly different key: ``` { "action": "get_user_preference", "preference": "Database System" } ``` If we parse these responses and store them in a standard dictionary, we'll miss the similarity between the two preference keys "Database" and "Database System",…
2025 · github.com
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