Clinical Augmented Intelligence (CLAI) Group

Integrating Medicine, Data Science, & Phenomenology to enrich human phenotype models.

News
Alaleh Matched in Cardiology program at BWH

Mar 25, 2024
Media 📻

Long COVID augmented definition publications

Aug 25, 2023
Publication 📝

Temporal AD characterization published in Lancet's eBioMedicine

May 29, 2023
Publication 📝

Temporal COVID severity estimate published in JAMA Network Open

Apr 13, 2023
Publication 📝

COVID-19 severity assessment framework published in JAMA Network Open

Oct 25, 2022
Publication 📝

R01 Grant funded by NIAID

Jul 20, 2022
Research 🔬

R01 Grant funded by NIA

May 27, 2022
Research 🔬

AI bias evaluation framework published in JAMIA

May 12, 2022
Publication 📝

STAT News story on our AI bias framework

May 11, 2022
Media 📻

Best paper award for tSPM phenotyping paper!

Nov 9, 2021
Publication 📝

Long COVID study featured nationally and internationally

Sep 30, 2021
Media 📻

First Long COVID article published in BMC Medicine

Sep 27, 2021
Publication 📝

MLHO's first article published in Scientific Reports

Mar 5, 2021
Publication 📝

COVID-19 mortality prediction study featured in media

Feb 6, 2021
Media 📻

COVID-19 Mortality prediction paper published

Feb 5, 2021
Publication 📝

The GTL approach published in JAMIA

Oct 12, 2020
Publication 📝

The tSPM algorithm published in Cell Patterns

Jun 18, 2020
Publication 📝

Best paper award for DQe-c!

Aug 19, 2019
Publication 📝

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Research

Led by Hossein Estiri the Clinical Augmented Intelligence Group’s research is at the intersection of medicine, data science, and phenomenology, developing enriched computational models of human phenotypes.

Post-COVID AI Symposium
Post-COVID AI Symposium

Boston, MA - September 20th, 2023

May 23 MGH COVID AI Symposium

Agenda

Temporal SARS-CoV-2 Severity Estimates
Temporal SARS-CoV-2 Severity Estimates

estimating and predicting the true severity of SARS-CoV-2

transitive sequential pattern mining (tSPM)
transitive sequential pattern mining (tSPM)

Mining meaningful temporal representations from clinical data

Publication 📝
Research Impact
Research Impact

Research with national and international impact

Media 📻
MLOps for life sciences

Instrumenting Machine Learning Operations for Clinical Research

Publication 📝
Evaluating Bias in Medical AI
Evaluating Bias in Medical AI

An objective framework for evaluating unrecognized bias in medical AI models

Research 🔬
Thinkin' AI with MLHO
Thinkin' AI with MLHO

A data-centric approach AI/ML system that learns over time

Publication 📝
An ICD story
An ICD story

story of how we find true moments of individual records from the EHR with tSPM

CLAI
CLAI

a lab for CLinical Augmented Intelligence

See all research
Team

We are a team of data scientists, clinicians, and epidemiologists pushing the science of data-driven precision medicine and digital epidemiology.

meet all!
Clinical Augmented Intelligence Group (CLAI)
Hossein Estiri

Director

Clinical Augmented Intelligence Group (CLAI)
Open positions

postdoc/research scientist/student

Clinical Augmented Intelligence Group (CLAI)
Jiazi Tian

Data Scientist

Clinical Augmented Intelligence Group (CLAI)
Alaleh Azhir

Investigator

Clinical Augmented Intelligence Group (CLAI)
Jingya Cheng

Research Scientist

© 2024 CLAI

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