Latest AI and machine learning research in public health for healthcare professionals.
''TikTok, Do Your Thing'' is a viral trend where users attempt to identify strangers they see in public via information crowd-sourcing. The trend started as early as 2021 and users typically engage with it for romantic purposes (similar to a ''Missed Connections'' personal advertisement). This practice includes acts of surveillance and identification in the public sphere, although by peers rathe...
Social isolation and loneliness, which have been increasing in recent years strongly contribute toward suicide rates. Although social isolation and loneliness are not currently recorded within the US National Violent Death Reporting System's (NVDRS) structured variables, natural language processing (NLP) techniques can be used to identify these constructs in law enforcement and coroner medical e...
Wastewater-based epidemiology (WBE) is a fast emerging method for passively monitoring diseases in a population. By measuring the concentrations of ...
In the past, the development of vaccines and immunotherapeutics relied heavily on trial-and-error experimentation and extensive in vivo testing, oft...
Claims made by individuals or entities are oftentimes nuanced and cannot be clearly labeled as entirely "true" or "false" -- as is frequently the ca...
Abdominal aortic aneurysms (AAAs) are progressive focal dilatations of the abdominal aorta. AAAs may rupture, with a survival rate of only 20\%. Cur...
Diagnosing bovine brucellosis is a major challenge due to its significant economic impact, causing losses in meat and dairy production and its potenti...
The rapid evolution of artificial intelligence (AI), together with the increased availability of social media and news for epidemiological surveillanc...
Recurrent waves of viral infection necessitate vaccines and therapeutics that remain effective against emerging viruses. Our ability to evaluate inter...
The low-altitude economy is emerging as a key driver of future economic growth, necessitating effective flight activity surveillance using existing ...
Real-world surveillance often renders faces and license plates unrecognizable in individual low-resolution (LR) frames, hindering reliable identific...
Surveillance systems play a critical role in security and reconnaissance, but their performance is often compromised by low-quality images and video...
Person Re-Identification (Re-ID) is a very important task in video surveillance systems such as tracking people, finding people in public places, or...
Breast cancer remains a leading global health concern, with significant strides made in early detection and treatment. However, effective long-term su...
This statement conveys the European Society of Gastrointestinal Endoscopy (ESGE) position on the use of computer-aided detection (CADe) with artificia...
The recent monkeypox outbreak has raised global health concerns. Caused by a virus, it is characterized by symptoms such as skin lesions. Early detect...
Unmanned Aerial Vehicles (UAVs) are one of the most revolutionary inventions of 21st century. At the core of a UAV lies the central processing syste...
The COVID-19 pandemic, caused by SARS-CoV-2, highlighted the critical need for accurate prediction of disease severity to optimize healthcare resour...
Model immunization aims to pre-train models that are difficult to fine-tune on harmful tasks while retaining their utility on other non-harmful task...
The COVID-19 pandemic response relied heavily on statistical and machine learning models to predict key outcomes such as case prevalence and fatalit...