Artificial Intelligence that cares

Book a demo

Solution

AI Clinical Assistant

jaide develops an intelligent clinical assistant that accompanies doctors in their daily practice. Our solution enables healthcare providers to automate note-taking and generation of medical reports using artificial intelligence.

Medical consultation with jaide

Objective: enable healthcare providers to save time to focus on what matters most: patients.

Why using jaide AI clinical assistant?

Spare time

Up to 4h per week on clinical documentation

Quick setup

Immediate set up, no software installation

Flexible

No time commitment, use it when you want

Secure

HDS data storage in EU, GDPR compliant

Interoperable

FHIR data export and EHR integration

User-friendly

1-click launch of AI consultation and dictation

Publications

Pilot applications of GPT-4 in radiation oncology: Summarizing patient symptom intake and targeted applications

This study explores using GPT-4 for radiation toxicity monitoring in prostate cancer treatments.

David JH Wu, Jean-Emmanuel Bibault. Radiotherapy & Oncology (The Green Journal)

A web-based, LLM-powered AI symptom summarization tool (ASST) for monitoring of breast cancer treatment toxicity

This study developed and tested a GPT-4-based web app for monitoring cancer treatment toxicity in breast cancer patients.

Jean-Emmanuel Bibault, David JH Wu. Journal of Clinical Oncology - ASCO

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 LinkedIn

Camille Thiénot

CEO

Jean-Emmanuel Bibault LinkedIn

Pr Jean-Emmanuel Bibault

CSO
Radiation Oncologist (APHP)

Danil Savine LinkedIn

Danil Savine

CTO

Dr David Wu LinkedIn

Dr David Wu

Lead advisor
Radiation Oncologist (Stanford)

They support us

Logo BPI France
Logo CentraleSupélec
Logo StartYouUp