BEKhealth AI outperforms Google, Amazon, and other leading medical AI

BEKhealth’s patient-matching large language models (LLMs) demonstrate higher accuracy in matching patients to clinical research than other leading medical models. AI’s ability to quickly sift through vast amounts of data to identify trends and extract valuable information can help to more efficiently find potential candidates who match study criteria. In this paper, we provide research around:

  • Key benefits of highly accurate AI in patient recruitment
  • Validating existing technology for building accurate AI models
  • The four key areas for evaluation of NLP infrastructures
  • Limitations and room for improvement
  • Developing an AI solution that works for trial recruitment

Please complete the form below to download the white paper:

Read More

Using AI to Transform Your Clinical Trial Recruitment Process

Using AI to Transform Your Clinical Trial Recruitment ProcessClinical trial recruitment must evolve to keep pace with advances in the broader scope of clinical research. To make this happen, researchers need to sort through an immense volume of patient data to...

How to Enhance Clinical Trial Recruitment with AI

How to Enhance Clinical Trial Recruitment with AIThe quest for diverse and inclusive clinical trial patient populations faces many hurdles, from geographic to socioeconomic barriers. Yet, achieving diversity is crucial; it ensures that new treatments are effective...