Latest AI and machine learning research in domestic violence for healthcare professionals.
Artificial intelligence (AI) holds significant potential for enhancing quality of gastrointestinal (...
BACKGROUND: Psoriatic arthritis (PSA) is an inflammatory joint disease associated with psoriasis (PS...
The review seeks to promote transparency in the availability of regulated AI-enabled Clinical Decisi...
Identification of body fluid stain at crime scene is one of the important tasks of forensic evidence...
Social anxiety disorder (SAD) is a prevalent anxiety disorder marked by strong fear and avoidance of...
At GSK, we have implemented custom integrated robotics platforms housed in bespoke biosafety enclosu...
Neurotoxicity is frequently observed in the global aquatic environment, threatening aquatic ecosyste...
Purpose: This study aims to establish and validate machine learning-based models to predict death in...
Maxillofacial trauma is a significant concern in emergency departments (EDs) due to its high prevale...
This study addresses the issue of wrong-way driving (WWD) incidents at partial cloverleaf (parclo) i...
Kidney stone disease is becoming increasingly common worldwide, with its prevalence increasing annua...
BACKGROUND: Screening for frequent hospitalizations in the community can help prevent super-utilizer...
In this narrative review, we address the ongoing challenges of lung cancer (LC) screening using ches...
BACKGROUND: The World Health Organization has set a global strategy to eliminate cervical cancer, em...
As climate warming exacerbates wildfire risks, prompt wildfire detection is an essential step in des...
Several pieces of evidence have been reported regarding the association between periodontitis and sy...
The enthusiastic adoption of make-on-demand chemical libraries for virtual screening has highlighted...
In this society with a high incidence of cancer, cancer screening has become an important method to ...
The specificity and sensitivity of a simple non-invasive multi-cancer screening method in detecting ...
The aim of the present study was to train a natural language processing model to recognize key text ...
The complexities inherent in drug development are multi-faceted and often hamper accuracy, speed and...