There is a growing interest in applying AI technology in the field of mental health, particularly
as an alternative to complement the limitations of human analysis, judgment, and …

Geospatial intelligence (GEOINT) has emerged as a pivotal tool in addressing the
complexities of urban security, offering insights crucial for effective decision-making and …

Background Prostate cancer (PCa) is the most common tumor of the male genitourinary
system. With the development of imaging technology, the role of magnetic resonance …

A recent study by Ding et al. explores the integration of artificial intelligence (AI) in predicting
dementia risk over a 10-year period using a multimodal approach. While revealing the …

Dementia, a neurodegenerative disorder, is more prominent among elderly people. This
disease is one of the primary contributors amongst other diseases having a high social …

Background: Dementia screening tools typically involve face-to-face cognitive testing.
Indeed, this introduces an increasing burden on the clinical staff, particularly in low-resource …

Abstract Machine learning (ML) is used to create well-functioning prediction models for
predicting the prognosis of psychiatric disease or to distinguish the disease from other …

In the context of data and information management in large organizations, the integration of
Artificial Intelligence (AI) and Machine Learning (ML) technology is an interesting research …

The combination of statistical learning technologies with large databases of
psychophysiological data has appropriately generated enthusiastic interest in future clinical …

Objective To summarize the current shooting trends of this type of video, discuss the effect of
non-medical factors on the spread of videos, and develop prediction models using machine …