Shypd.aiThe largest open index of AI toolsMulti-Agent-Medical-Assistant is a GenAI-powered multi-agent system for medical diagnostics and healthcare research. It is designed for healthcare...
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Lena Care
Lena Care is an AI-driven femtech app providing personalized health insights and cycle tracking. It offers FertiScore assessments, combining AI with fertility expertise. The app is designed to empower women with knowledge about their reproductive health. Lena Care is multilingual and free to use.
Korro AI
Korro AI is an AI-driven platform focused on children's healthcare. It provides comprehensive health, behavioral care, and well-being services. Korro AI leverages AI and computer vision to offer in-depth analysis and personalized therapy support for children, supplementing in-person clinical care.
open-health
Open-health is an AI health assistant powered by user data. It offers personalized health consultations and comprehensive health management tools. The platform provides options for quick consultations and in-depth analysis. It supports multiple languages, including English, French, German, and Spanish.
ecg-classification
ecg-classification is a code repository for training and testing machine learning classifiers on the MIT-BIH Arrhythmia Database. It implements a method for automatic classification of electrocardiograms (ECG) using Support Vector Machines (SVMs). The method relies on time intervals between beats and their morphology for ECG characterization. It is available on GitHub.
HealthGPT
HealthGPT is a medical large vision-language model designed for unifying comprehension and generation via heterogeneous knowledge adaptation. It is intended for medical image analysis and related healthcare applications. The tool supports research and development in the medical AI field.
UNeXt-pytorch
UNeXt-pytorch is the official Pytorch code base for UNeXt, an MLP-based rapid medical image segmentation network. It is designed for medical image segmentation tasks. The tool is suitable for rapid image segmentation in point-of-care applications. It is based on the MICCAI 2022 paper.