Clinical Augmented Intelligence (CLAI) Group

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

News

Agentic workflow for cognitive concerns press coverage

Jan 23, 2026
Media 📻

P2RC press coverage

Dec 9, 2024
Media 📻

Jonas successfully defended his PhD dissertation

Dec 19, 2024
Media 📻

P2RC publication in Cell Med

Dec 12, 2024
Publication 📝

P20 CATALYST funded by NIMHD

Dec 11, 2024
Research 🔬

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 📝

See all news

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.

Optimization Instability in Autonomous Agents

When AI Systems That Improve Themselves Make Themselves Worse

Building a Digital Clinical Team

Five AI Agents That Critique Each Other — And Outperform Human Prompt Engineering

Publication 📝

Diagnostic Signal Decay and the Signal Fidelity Index

Why AI Models Fail When They Leave Home—And How to Fix It

The Average Patient Fallacy

Why Medical AI Fails the Patients Who Need It Most—And How to Fix It

The AI Black Box

A Looming Threat to Medical Transparency

Post-COVID AI Symposium

Boston, MA - September 20th, 2023

May 23 MGH COVID AI Symposium

Agenda

Temporal SARS-CoV-2 Severity Estimates

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

transitive sequential pattern mining (tSPM)

Mining meaningful temporal representations from clinical data