Latest AI and machine learning research in public health & policy for healthcare professionals.
OBJECTIVES: Driving under the influence of cannabis is a growing public health concern in the United States. Existing surveillance systems often lack behavioral detail, rely on static quotas, or fail to account for differences across legal contexts. The Cannabis and Roadway Safety Study (CARSS) is a multi-phase project designed to address these gaps. This paper describes the methods of the Phase 2...
Fungal infections are an increasing global public health concern yet remain underprioritized because of persistent challenges in diagnosis, treatment, and surveillance. The WHO Fungal Priority Pathogens List underscores the growing burden of antifungal resistance and includes agents responsible for neglected tropical mycoses, such as Paracoccidioides spp. and eumycetoma. Despite recent advances, f...
PURPOSE: Artificial intelligence (AI)-based text messaging, or "chat," in post-appendectomy care has been shown to decrease preventable emergency depa...
Despite advances in pharmacotherapy, approximately one-third of individuals with epilepsy develop drug-resistant epilepsy (DRE), accounting for a disp...
Artificial intelligence and machine learning are increasingly shaping the future of small animal veterinary medicine, particularly through predictive ...
Cardiovascular diseases are a primary global health concern, requiring continuous monitoring and accurate diagnostic mechanisms for early detection an...
BACKGROUND: Active surveillance (AS) is the first-line approach for desmoid-type fibromatosis (DTF). However, 30 % of patients require active treatmen...
PURPOSE OF REVIEW: Generative artificial intelligence, particularly large language models, has emerged as a promising tool for processing the vast amo...
AIM: To evaluate the performance of machine learning models in predicting liver metastasis in colorectal cancer (CRC) patients using the SEER database...
Type 2 diabetes mellitus (T2DM) and bladder urothelial carcinoma (BLCA) are two kinds of diseases that seriously threaten human health. Their pathogen...
INTRODUCTION: Adult-onset type 1 diabetes (T1D) is often misclassified as type 2 diabetes (T2D), resulting in delayed treatment, missed opportunities ...
Emerging global health threats, from antimicrobial resistance to vector-borne diseases, require scalable diagnostic solutions. Matrix-assisted laser d...
Food-safety occurrence databases are increasingly important for surveillance, evidence appraisal, and quantitative risk assessment, yet their routine ...
PURPOSE: This study addresses critical gaps in understanding hospital financial resilience during the COVID-19 pandemic by developing an AI framework ...
BACKGROUND: Mild cognitive impairment is widely recognized as a high-risk state associated with a progression to dementia. Although previous studies h...
BACKGROUND: Identifying communities disproportionately affected by hepatitis C infection is essential for targeted prevention and resource allocation....
BACKGROUND: Effective prevention of drowning and aquatic incidents requires timely and accurate surveillance supported by high-quality validated data....
SUMMARYAfrica's ongoing struggles with emerging epidemics and antimicrobial resistance (AMR) underscore the urgency of integrating pathogen genomics a...
BACKGROUND: Emergency colorectal cancer resection (ECCR) is associated with worse perioperative and oncologic outcomes than elective surgery. As the i...
BACKGROUND: Osteoporosis is a systemic bone disorder marked by reduced bone mass and deteriorating bone microstructure, commonly associated with infla...