Archived articles

Malone center for engineering in healthcare

Artificial Intelligence

Sepsis-detection AI has the potential to prevent thousands of deaths

Published July 21, 2022

A new system identifies patients at risk for sepsis to aid in the prevention of the illness, which is often difficult to detect and is one of the world's leading causes of death

Two scientists test a robot in an ICU simulation room

Engineering

Responding to an urgent need

Published Aug 30, 2021

When the COVID pandemic began last year, the Malone Center for Engineering in Healthcare's faculty were eager—and more than able—to help

COVID-19

Radiologists use deep learning to find signs of COVID-19 in chest X-rays

Published June 1, 2020

Despite a shortage of available chest X-rays for patients with COVID-19, the team's model correctly identified the infection 89% of the time

COVID-19

New outbreak model better predicts COVID-19 hotspots

Published April 27, 2020

Led by Anton Dahbura, a team of Johns Hopkins researchers have developed a customizable model for tracking and predicting infectious disease outbreaks

Health care engineering

Tool helps identify no-show patients

Published Oct 4, 2018

New tool helps doctors reduce the number of patients who forget or skip their appointments and increase appointment availability

Russell Taylor, the John C. Malone Professor, tests a robot designed to help surgeons keep a steady hand

Alumni

The Malone effect

Published Winter 2017

Malone Professorships support faculty whose work crosses the borders of multiple disciplines, particularly engineering and medicine / Johns Hopkins Magazine