Primary Care

Latest AI and machine learning research in primary care for healthcare professionals.

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Advancing Cardiovascular Disease Diagnosis with an Interpretable and Responsible AI Framework

Cardiovascular disease (CVD) remains a leading global health threat, responsible for one in five dea...

Acoustic Analysis of Primary Care Patient-provider Conversations to Screen for Cognitive Impairment

Cognitive impairment (CI) is often under detected in primary care due to time and resource constrain...

Machine learning-optimized perinatal depression screening: Maximum impact, minimal burden

Perinatal depression affects up to 30% of pregnant and postpartum women, which has increased since t...

Machine Learning Prediction of Blood Pressure Control in Patients With Hypertension and Heart Failure Using Longitudinal Clinical Data

To develop and validate machine learning models for predicting Blood Pressure (BP) control status us...

Dynamic Stroke Risk Stratification via Machine Learning: A Multi-Level Single-Center Study

Stroke is a leading global public health challenge and the second leading cause of death worldwide. ...

A preregistered, Open Pipeline for Early Cerebral Palsy Risk Assessment from Infant Videos

Cerebral Palsy (CP), affecting approximately 1 in 500 children due to abnormal brain development, im...

Opportunistically Detecting Signs of Hypertension on a Consumer Smartwatch

Hypertension is a silent killer, with over half of affected adults unaware of their condition1,2. Th...

Leveraging Pretrained Large Language Model for Prognosis of Type 2 Diabetes Using Longitudinal Medical Records

Timely prognosis of type 2 diabetes (T2D) is critical for effective interventions and reducing econo...

Detecting Mental Disorders in Social Media Using a Transformer-Based Ensemble of Binary Classifiers

This study introduces a novel transformer-based ensemble framework for the multi-label detection of ...

Hepatic and abdominal adiposity in type 2 diabetes as assessed with machine learning on CT scans

The distribution of abdominal adipose depots and their mechanistic links to type 2 diabetes remain i...

Temporal deep learning with clinically engineered biomarkers for the early prediction of type 2 diabetes

Diabetes mellitus remains a major global health burden, causing an estimated 3.4 million deaths in 2...

DRB1 Subtyping Reveals Divergent Risk and Protection for Type 1 Diabetes in Middle Eastern Populations

Type 1 diabetes (T1D) is strongly influenced by HLA variation, yet current genetic risk models devel...

Evaluation of SSI risk prediction model after spinal surgery: A systematic review and critical appraisal

This study aimed to systematically review and critically evaluate the risk of bias and applicability...

Implementation of an Opioid Use Disorder (OUD) Machine-Learning Phenotype in Real-Time for the ADAPT Project

Develop and deploy a real-time, EHR-integrated machine learning phenotype to identify emergency depa...

A novel open access multimodal dataset of nodule imaging and circulating proteome from a lung cancer screening cohort

Low-dose computed tomography (LDCT) lung cancer screening has significantly enhanced early detection...

Comparing the Treatment and Side Effects of Existing Bariatric Surgery Procedures: An Observational Study

Bariatric surgery is an established treatment for obesity and its associated comorbidities, includin...

Alzheimer's disease detection based on large language model prompt engineering

In light of the growing proportion of older individuals in our society, the timely diagnosis of Al...

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