Latest AI and machine learning research in health policy for healthcare professionals.
Electronic Health Records (EHRs) sampled from different populations can introduce unwanted bi-ases, limit individual-level data sharing, and make the data and fitted model hardly transferable across different population groups. In this context, our main goal is to design an effective method to transfer knowledge between population groups, with computable guarantees for suitability, and that can be...
Chagas disease affects 6–7 million people worldwide and causes approximately 12,000 deaths annually. Diagnostic methods vary by disease stage, with serological tests commonly used in the chronic phase, while microscopy and molecular techniques like PCR and LAMP are employed in the acute phase. While microscopy remains the most accessible tool in resource constrained settings, its effectiveness dep...
According to an ADA report, approximately 15% of the US population requires dental care annually but does not receive it. Access to dental care, parti...
Accurate measurement of echocardiographic parameters is crucial for the diagnosis of cardiovascular disease and tracking of change over time, however ...
Incomplete reporting of a study’s methods and results hinders efforts to evaluate and reproduce research findings in randomized controlled trials (RCT...
The deployment of artificial intelligence (AI) in healthcare necessitates robust safety validation frameworks, particularly for systems directly inter...
Anxiety, depression, and other mental health conditions are affecting millions of people worldwide each year. However, limited access to mental health...
Accurate diagnostics are essential for disease control and elimination efforts. However, access to diagnostics for neglected tropical diseases (NTDs) ...
Artificial intelligence (AI) has transformed medicine, advancing diagnostics, treatment, and patient outcomes. This study employs bibliometric analysi...
Guidance is lacking on choice of first-line antipsychotic for individuals with incident severe mental illness (SMI). Patients may try several before a...
Multiple myeloma (MM) is the second most common hematologic malignancy in the U.S., with Black patients being diagnosed at twice the rate of White pat...
Anemia, or low blood hemoglobin (Hb), affects one third of the world population, and is particularly prevalent in women and children in lower resource...
Deep learning (DL) programs can aid in the acquisition of echocardiograms by medical professionals not previously trained in sonography, potentially a...
Colorectal cancer (CRC) screening rates remain disproportionately low among Hispanic and Latino populations compared to non-Hispanic whites. While art...
Echocardiography is a cornerstone of cardiovascular care but relies on expert interpretation and manual reporting from a series of videos. We propose ...
Introduction: Achieving equity in translational precision medicine requires the integration of genomic, clinical, and social determinants of health (S...
Missed appointments represent a double-edged sword in community health settings. Policies designed to retain patients and ensure continuity of care fo...
Tuberculosis remains a major global health concern, particularly in high-burden countries where early detection is essential but often limited by insu...
The quality and integrity of scientific publications in clinical machine-learning is of paramount importance. Low-quality publications can offer exces...
Tumor necrosis factor inhibitors (TNFi) are widely used for auto-immune conditions. Despite their efficacy, many patients switch TNFis due to lack of ...