AI Health Lab

Prior Knowledge Enhances Radiology Report Generation

tianhao2021 — Sun, 03 Apr 2022 06:00:16 +0000

In this work, we propose to mine and represent the associations among medical findings in an informative knowledge graph and incorporate this prior knowledge with radiology report generation to help improve the quality of generated reports.

Letter to the editor in response to “Risk prediction of delirium in hospitalized patients using machine learning: an implementation and prospective evaluation study”

Jiarong Yang — Mon, 05 Jul 2021 09:38:45 +0000

In their recent article, “Risk prediction of delirium in hospitalized patients using machine learning...

Gender, Socioeconomic, and Racial Disparities in Medical Treatments for COVID-19 Patients

Jiarong Yang — Thu, 01 Jul 2021 19:58:35 +0000

A project aims to investigate socioeconomic and racial disparities in healthcare services during the global COVID-19 pandemic. Funded by Gates Foundation.

A variety of social inequities across domains have emerged apparently and rapidly during the global COVID-19 pandemic, which generate major public health threats to the most vulnerable communities and underrepresented groups. Thus, the objective of our study is to investigate socioeconomic and racial disparities in healthcare services during the global COVID-19 pandemic with the goal to provide evidence for public health policy makers to make informed decisions and to promote equity in healthcare. The expected outcomes will be statistically tested hypotheses backed up with extensive and systematic data analyses to identify patterns and trends of socioeconomic and racial disparities in medical treatments for COVID-19 patients.

Prosodic stress: Acoustic, aphasic, aprosodic and neuroanatomic interactions

Jiarong Yang — Tue, 29 Jun 2021 00:14:36 +0000

The neuroacoustic basis of prosodic (emphatic or contrastive) stress production was assessed in normals and patients with left and right brain damage (LBD, RBD).

Craniotomy vs craniectomy for acute traumatic subdural hematoma in the United States: a national retrospective cohort analysis

Jiarong Yang — Tue, 29 Jun 2021 00:11:45 +0000

National trends and estimates of the proportion of patients receiving craniotomy or DC for ASDH in the United States are unknown. Given the paucity of data, the goal of this retrospective cohort study is to characterize the surgical management of ASDH in the United States. In addition, we sought to determine the independent association of DC for ASDH, compared to craniotomy, on hospital mortality.

In Reply to “Erroneous Methodology in ‘Craniotomy Versus Craniectomy for Acute Traumatic Subdural Hematoma in the United States: A National Retrospective Cohort Analysis'”

Jiarong Yang — Mon, 28 Jun 2021 23:38:46 +0000

Opportunities for Innovation to Enhance the Image Ordering Process

Jiarong Yang — Mon, 28 Jun 2021 23:36:59 +0000

We identified a significant number of encounters where provider EHR documentation was available at the time of image order entry applicable to order requisitions as well as CDS rules and exclusion criteria. Significantly more concepts relevant to headache were extracted from notes compared to order requisitions.

Pulling It All Together: Envisioning a Data-Driven, Ideal Care System

Jiarong Yang — Mon, 28 Jun 2021 23:34:58 +0000

An Ideal Care System should incorporate fundamental elements of control engineering, such as effective and data-driven sensing, computation, actuation, and feedback.

Measuring and Managing Population Health

Jiarong Yang — Mon, 28 Jun 2021 23:32:30 +0000

We describe each of these emerging health technologies and their future opportunities for enhancing population health.

Can Automated Retrieval of Data from Emergency Department Physician Notes Enhance the Imaging Order Entry Process?

Jiarong Yang — Mon, 28 Jun 2021 23:28:38 +0000

Compare documentation of relevant clinical information in electronic health record (EHR) provider note to computed tomography (CT) order requisition, prior to ordering of head CT for emergency department (ED) patients presenting with headache.