Best clinical research AI tools

A clinical research platform using immersive Virtual Reality (VR) to securely collect behavioral data for ADHD. It aims to develop future AI systems to assist healthcare professionals with accurate diagnosis, ensuring data privacy and using evidence-based assessments.

Medbriefs is an AI-powered research assistant that generates fast, credible summaries of medical literature from PubMed abstracts. It streamlines the research process for clinicians, academics, and students by providing clear insights and formatted citations in seconds.

ModAstera is a no-code AI development platform designed for medical applications. It automates predictive modeling for patient risk and outcomes, featuring AI-assisted data annotation and one-click deployment to significantly reduce development time and costs for health tech innovators.

Segmed provides large-scale access to de-identified, diagnostic-grade medical imaging data for AI development and clinical research. Its platform, Openda, offers millions of tokenized studies from a diverse global network of healthcare providers. Segmed accelerates innovation for life sciences, medical device, and technology companies by providing regulatory-grade, multimodal datasets crucial for training AI models, validation, and securing FDA/CE clearance.

PicnicHealth is an AI-powered platform that collects, digitizes, and unifies all your medical records into a single, comprehensive timeline. It empowers patients to manage their health with an AI assistant and enables life sciences companies to conduct more efficient observational research with high-quality, real-world data.

An AI platform for clinical research that automates the generation of validation-ready SDTM and ADaM datasets. It dramatically reduces the time from database lock to FDA submission by handling complex programming tasks, allowing clinical teams to focus on high-value, study-specific logic while ensuring data security and HIPAA compliance.