AI · alternatives · 2026
24 alternatives to Dx29
Let's reinvent together the diagnosis of rare diseases
Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Dx29 launched in 2020; newer entries below may have overtaken it.
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GrepMed▲69Image-based clinically relevant medical reference database
2019 · grepmed.com · its alternatives →
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Assistive24 ▲522Free assistive technology for individuals with disabilities
2024 · assistive24.com · its alternatives →
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CrowdMed▲65Crowd-sourced medical diagnosis for rare diseases
2014 · crowdmed.com · its alternatives →
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I have some chronic medical conditions, and spend a lot of time asking about different drugs and supplements. Wanted to create a resource that others might get value from. It's trained to always provide citations, and to urge people to see their doctor before making major decisions. Open for feedback.
2024 · agenthost.ai · its alternatives →
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The first comprehensive 3D annotation tool for healthcare AI
2022 · encord.com · its alternatives →
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⚡High Performance DICOM Medical Image Parser in Go. - suyashkumar/dicom
2019 · github.com · its alternatives →
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⚡High Performance DICOM Medical Image Parser in Go. - GitHub - suyashkumar/dicom at v1.0.0
2020 · github.com · its alternatives →
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An open system to help humankind diagnose any health problem
2015 · humandx.org · its alternatives →
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GeneCodex▲88A free and open source genetic variant viewer
2023 · codex-brandonsaldan.vercel.app · its alternatives →
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A Python toolkit for rule-based/unsupervised anomaly detection in time series - arundo/adtk
2019 · github.com · its alternatives →
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Hey HN, this is David from Aluna (YC S24). We work with diagnostic labs to build datasets and evals for oncology tasks. I wanted to share a simple RL environment I built that gave frontier LLMs a set of tools that lets it zoom and pan across a digitized pathology slide to find the relevant regions to make a diagnosis. Here are some videos of the LLM performing diagnosis on a few slides: (https://www.youtube.com/watch?v=k7ixTWswT5c): traces of an LLM choosing different regions to view before making a diagnosis on a case of small-cell carcinoma of the lung…
Nov 2025 · its alternatives →
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DxCoach▲4Write your clinical reasoning, get attending-level feedback
Jul 2026 · dxcoach.app · its alternatives →
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2011 · science.io · its alternatives →
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A work in progress library that fuses the HL7 FHIR standard with scikit-learn - chrisby/ml-on-fhir
2020 · github.com · its alternatives →
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Hi all! This morning, we released a new Apache 2.0 licensed model on HuggingFace for detecting hallucinations in retrieval augmented generation (RAG) systems. What we've found is that even when given a "simple" instruction like "summarize the following news article," every LLM that's available hallucinates to some extent, making up details that never existed in the source article -- and some of them quite a bit. As a RAG provider and proponents of ethical AI, we want to see LLMs get better at this. We've published an open source model, a blog more thoroughly describing our methodology (and…
2023 · vectara.com · its alternatives →
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Hi HN, I’m a solo dev building a clinical search engine to help my wife (a resident physician) and her colleagues. The Problem: Current tools (UpToDate/OpenEvidence) are expensive, slow, or increasingly heavy with pharma ads. The Solution: I built Evidex to be a clean, privacy-first alternative. Search Demo (GIF): https://imgur.com/a/zoUvINt Technical Architecture (Search-Based RAG): Instead of using a traditional pre-indexed vector database (like Pinecone) which can serve stale data, I implemented a Real-time RAG pattern: Orchestrator: A Node.js backend performs…
Dec 2025 · getevidex.com · its alternatives →
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The problem we solve is profiling tables: this is the initial step where you need to understand the table and identify any anomalies. During the process, many small decisions require semantic understanding. For example, missing values are normal for 'deathdate' (still alive) but abnormal for 'name.' For outliers, 100 for ages is fine, but some are -1, which is impossible! We use LLMs to semantically understand your tables and detect anomalies. You can try it by uploading a CSV, and we will email back the profile: https://cocoon-data-transformation.github.io/page/ Let me…
2024 · github.com · its alternatives →
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Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →