Bibliometric Analysis of the Role of Artificial Intelligence in Detecting Maxillofacial Fractures.

Facial bone fractures are a common occurrence in trauma cases, particularly in India where road traffic accidents contribute significantly. Over the past few years, artificial intelligence (AI) has become a potent instrument to help medical professionals diagnose and treat facial fractures. This study aims to perform a bibliometric analysis, that is, a quantitative and qualitative analysis, of publications focusing on the role of AI in detecting facial bone fractures.

Exploration of the cytotoxic and microtubule disruption potential of novel imidazo[1,5-]pyridine-based chalcones.

In continuation of our efforts to develop new anticancer compounds, a new series of imidazo[1,5-]pyridine-chalcone derivatives was designed, synthesized, characterized, and evaluated for its cytotoxicity against five human cancer cell lines, , breast (MDA-MB-231), colon (RKO), bone (Mg-63), prostate (PC-3), and liver (HepG2) cell lines, as well as a normal cell line (HEK). Among the synthesized compounds, two exhibited promising cytotoxicity against the MDA-MB-231 cell line with IC values of 4.23 ± 0.

Comparing the Artificial Intelligence Detection Models to Standard Diagnostic Methods and Alternative Models in Identifying Alzheimer's Disease in At-Risk or Early Symptomatic Individuals: A Scoping Review.

Alzheimer's disease (AD) and other neurodegenerative illnesses place a heavy strain on the world's healthcare systems, particularly among the aging population. With a focus on research from January 2022 to September 2023, this scoping review, which adheres to Preferred Reporting Items for Systematic Reviews and Meta-Analysis extension for Scoping Reviews (PRISMA-Scr) criteria, examines the changing landscape of artificial intelligence (AI) applications for early AD detection and diagnosis. Forty-four carefully chosen articles were selected from a pool of 2,966 articles for the qualitative synthesis.

Corrigendum: Perceptions of primary healthcare providers for screening and management of mental health disorders in India: a qualitative study.

[This corrects the article DOI: 10.3389/fpubh.2024.

Unraveling the Anion Storage Properties of Manganese-Doped SrTiO.

Strontium titanate (STO), a cubic perovskite material, has gained recent attention as a supercapacitor active material with its pseudocapacitive energy storage attributed to anion intercalation. However, very few in-depth studies have been conducted to understand the anion storage properties of STO and its metal-doped derivative compounds. In this study, we explored the anion-insertion storage mechanism of Mn-doped strontium titanate (Mn-STO) compared to pristine STO.