Colin Walsh

February 8, 2024

New algorithms show promise for predicting bipolar disorder risk

In a new study across three major U.S. health care systems, researchers developed and tested algorithms to predict who will develop bipolar disorder.

By Paul Govern
December 21, 2023

Vanderbilt’s Embí and team awarded AIM-HI grant to improve use and monitoring of AI in health care

A Vanderbilt team has received funding to pursue research projects deploying artificial intelligence (AI) and machine learning (ML) algorithms to enhance diagnostic decision-making in health care.

By Mia Garchitorena-Scancarelli
November 17, 2023

Study validates use of VUMC suicide risk model in Navy primary care

A Vanderbilt study found that automated suicide risk prediction models operating on electronic health records could help clinical teams efficiently identify patients for face-to-face suicide risk screening and prevention.

By Paul Govern
July 24, 2023

Colin Walsh elected to the International Academy of Health Sciences Informatics

Vanderbilt’s Colin Walsh, MD, MA, was recently elected to the International Academy of Health Sciences Informatics (IAHSI) class of 2023.

By Mia Garchitorena-Scancarelli
December 20, 2022

Vanderbilt’s Walsh elected fellow of ACMI

Vanderbilt’s Colin Walsh, MD, MA, was recently elected to the American College of Medical Informatics (ACMI) class of 2022.

By Mia Garchitorena-Scancarelli
November 21, 2022

Suicide notes

Natural language processing of notes in electronic health records can identify suicidal behavior and could be used to directly improve real-time risk prediction algorithms.

By Paul Govern
June 15, 2022

Chancellor Faculty Fellows announced

Several highly accomplished, recently tenured faculty from a wide variety of disciplines and areas of expertise have been selected for the 2022 cohort of Chancellor Faculty Fellows.
By VUMC News and Communications
May 13, 2022

Suicide prediction method combines AI and face-to-face screening

New Vanderbilt research is pointing to solutions for efficient clinical prediction of suicide attempt or suicidal thinking in adults.
By Paul Govern
October 19, 2021

Artificial intelligence predicts opioid overdose in Tennessee

Researchers at Vanderbilt and the Tennessee Department of Health have developed 30-day predictive models for fatal and non-fatal opioid-related overdose among patients receiving opioid prescriptions in the state.
By Paul Govern
March 15, 2021

Artificial intelligence calculates suicide attempt risk at VUMC

A machine learning algorithm that predicts suicide attempt recently underwent a prospective trial at the institution where it was developed, Vanderbilt University Medical Center.
By Paul Govern
February 11, 2021

Study will delve into EHR for signs of suicidality

Retrieval of clearer, more complete information from the EHR could go a long way toward improving predictive models of who will next be at risk of suicide, thereby improving care for patients with suicidal thoughts and behaviors.
By Paul Govern
January 15, 2020

VUMC study to use artificial intelligence to explore suicide risk

Investigators will use computational methods to shed light on suicidal ideation and its relationship to attempted suicide, predict suicidal ideation and suicide attempt using routine electronic health records (EHRs) and explore the genetic underpinnings of both.
By Paul Govern
October 31, 2019

Cutting edge trio

Vanderbilt’s Colin Walsh, MD, MA, left, Bennett Landman, PhD, and Bradley Malin, PhD, recently discussed how artificial intelligence is transforming patient care during their Cutting Edge Discovery Lecture.
By VUMC News and Communications
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