{"version":1,"type":"story","url":"https://digestai.news/story/researchers-release-medjev-a-zero-shot-medical-ai-model-for-laptops","json":"https://digestai.news/story/researchers-release-medjev-a-zero-shot-medical-ai-model-for-laptops.json","markdown":"https://digestai.news/story/researchers-release-medjev-a-zero-shot-medical-ai-model-for-laptops.md","slug":"researchers-release-medjev-a-zero-shot-medical-ai-model-for-laptops","headline":"Researchers release MedJev, a zero-shot medical AI model for laptops","summary":"Researchers introduced **MedJev**, an open-source **System One** model that answers medical questions in one pass without text generation. It runs locally on a laptop and matches **GPT-4** performance on benchmarks like **MedQA** (72.5% accuracy), **USMLE** (75.4%), and **NEJM** (80.1%), while keeping computational costs low.\n\nMedJev outperforms zero-shot LLMs and even **XGBoost** on **In-Hospital Mortality** (AUROC 0.926) but lags behind supervised models on tasks like **ED Triage Admission**. The team also developed a recalibration method using just **50–200 labeled examples** to improve prediction accuracy. The code and evaluation framework are open for further research.","keyPoints":["MedJev achieves 72.5% accuracy on MedQA, 75.4% on USMLE, and 80.1% on NEJM, nearing GPT-4 levels","Runs locally on a laptop with low computational cost, unlike large cloud-based models","Researchers propose a recalibration method reducing miscalibration error from 0.286 to 0.007"],"whyItMatters":"A lightweight, zero-shot medical AI model could democratize clinical decision support for hospitals with limited compute resources, reducing reliance on proprietary LLMs.","category":{"slug":"research","name":"Research","url":"https://digestai.news/category/research"},"entities":{"companies":[],"models":["MedJev","GPT-4","XGBoost"],"people":[]},"firstPublishedAt":"2026-10-28T04:00:00Z","updatedAt":"2026-10-28T04:00:00Z","sourceCount":1,"hasPrimarySource":true,"sources":[{"outlet":"arXiv cs.CL","title":"MedJev: Evaluating Zero-Shot System-One Decision Making in Medicine","url":"https://arxiv.org/abs/2610.36006","publishedAt":"2026-10-28T04:00:00Z","type":"primary","primary":true,"lead":true}],"sourceNotes":null,"discussions":[],"thread":null,"cite":{"text":"Digest AI, \"Researchers release MedJev, a zero-shot medical AI model for laptops\", 28 October 2026, https://digestai.news/story/researchers-release-medjev-a-zero-shot-medical-ai-model-for-laptops","publisher":"Digest AI","title":"Researchers release MedJev, a zero-shot medical AI model for laptops","datePublished":"2026-10-28T04:00:00Z","url":"https://digestai.news/story/researchers-release-medjev-a-zero-shot-medical-ai-model-for-laptops"},"generatedBy":"Written by Digest AI's editorial model from the linked sources; the sources are the record.","license":"Headlines, digests and key points are written by Digest AI and may be quoted with a link to the story page. Linked articles belong to their publishers. Terms: https://digestai.news/terms#reuse"}