Generative AI for patients and physicians

Book a demo

Give everyone access to world-class medical decision-making

We want to make it possible with jaide, starting with oncology

jaide seamlessly integrates into the patient-physician journey to enhance engagement and communication ‍

Between medical visits

A patient fills jaide tailor-made intake form

Patients quickly fill tailor-made intake forms, seamlessly upload test results and interact with AI to provide comprehensive and structured information to doctors

During medical visits

a physician is doing a visit with a patient using jaide

Doctors get AI Medical Report, predictive modeling on disease evolution and clinical recommendations based on latest institutional standards to ease documentation and provide world-class care to patients

Benefits

Patients

  • Access world-class care
  • Facilitate communication with physicians
  • Improve engagement

Physicians

  • Support clinical decision
  • Save time to focus on what matters
  • Make documentation easy

Institutions

  • Improve health outcomes for patients
  • Reduce risks of medical misevaluation
  • Manage compliant & interoperable data

Publications

A Comparative Study of Large Language Models for Generating Summaries of Breast Cancer Patient-Reported Treatment Toxicities

This study aims to compare four leading open-source and proprietary LLMs in generating summaries of PROs using PDQI.

David JH Wu, Jean-Emmanuel Bibault. International Journal of Radiation Oncology - Biology - Physics (The Red Journal) - ASTRO

Development and Validation of an Interpretable Artificial Intelligence Model to Predict 10-Year Prostate Cancer evolution

This study introduces a gradient-boosted model that can predict 10-year prostate cancer evolution with high accuracy

Jean-Emmanuel Bibault, Steven Hancock, Mark K Buyyounouski, Hilary Bagshaw, John T Leppert, Joseph C Liao, Lei Xing - Cancers

Development and validation of a model to predict evolution in colorectal cancer using a gradient-boosted machine

This study introduces a gradient-boosted model that can predict 10-year colorectal cancer evolution with high accuracy

Jean-Emmanuel Bibault, Daniel T Chang, Lei Xing. - Gut

Patients Facing Large Language Models in Oncology: A Narrative Review

This reviewexamines the current landscape, potential benefits, and associated ethical and regulatoryconsiderations of the application of LLMs for patients in the oncologic domain

Charles Raynaud, David Wu, Jarod Levy, Matteo Marengo, Jean-Emmanuel Bibault - Journal of Clinical Oncology (JCO)

About us
Camille Thiénot
Link to Linkedin page

Camille Thiénot

Co-founder
Chief Executive Officer
‍
‍

Jean-Emmanuel Bibault
Link to Linkedin page

Pr Jean-Emmanuel Bibault, MD, PhD

Co-founder
Chief Scientific Advisor
Physician (APHP)
AI Researcher (Stanford, INSERM)

Danil Savine
Link to Linkedin page

Danil Savine

Co-founder
Chief Technology Officer
‍
‍

Dr David Wu
Link to Linkedin page

Dr David JH Wu, MD

Co-founder
Product
Physician (Stanford)

‍
‍