Latest AI and machine learning research in public health & policy for healthcare professionals.
To develop privacy-enhancing statistical methods for estimation of binary disease risk model associa...
The public health impact of vaping in the United States reflects a complex balance of potential bene...
Multiple sclerosis (MS) is a chronic autoimmune disease of the central nervous system. Early detecti...
Hypertension (HTN) is a leading, yet often underdiagnosed, cause of cardiovascular diseases worldwid...
Information from electronic health records (EHRs) may be incorporated into computable phenotype algo...
Type 2 diabetes mellitus (T2DM) affects almost half a billion people, and the projected cost is $2.2...
Large language models (LLMs) have demonstrated rapid advancements in natural language understanding ...
Postoperative atrial fibrillation (POAF) affects 20 to 50% of patients undergoing cardiac surgery an...
Childhood maltreatment is a well-established risk factor for substance misuse. However, it remains u...
Cardiovascular disease (CVD) remains the primary cause of mortality worldwide, with higher fatality ...
Sensitivity analysis is a key tool for identifying which model inputs most strongly influence model ...
To evaluate whether machine learning (ML) applied to comprehensive claims data without diagnostic co...
Dengue fever is a mosquito-borne viral disease with strong seasonality, periodicity, and spatial het...
Clinicopathologic calculators for bladder cancer moderately predict survival and fail to depict the ...
Respiratory disease outbreaks burden U.S. healthcare systems with over one million hospitalizations ...
Falls among elderly residents in assisted living facilities (ALFs) are prevalent, costly, and freque...
Cardiovascular disease (CVD) is a leading global health burden. Traditional risk prediction models, ...
Skin neglected tropical diseases (NTDs) such as cutaneous leishmaniasis, lymphatic filariasis, mycet...
Large language models (LLMs) have demonstrated remarkable capabilities in various natural language p...
Radiofrequency (RF)-induced burns are the most common MRI-related adverse event. Standard safety pra...
Artificial intelligence (AI)-based mobile health (mHealth) smartphone apps for skin cancer detection...