Future horizons: The potential role of artificial intelligence in cardiology

OS Patrascanu, D Tutunaru, CL Musat… - Journal of Personalized …, 2024 - mdpi.com
Cardiovascular diseases (CVDs) are the leading cause of premature death and disability
globally, leading to significant increases in healthcare costs and economic strains. Artificial …

[HTML][HTML] Diagnostic Applications of AI in Sports: A Comprehensive Review of Injury Risk Prediction Methods

CL Musat, C Mereuta, A Nechita, D Tutunaru… - Diagnostics, 2024 - mdpi.com
This review provides a comprehensive analysis of the transformative role of artificial
intelligence (AI) in predicting and preventing sports injuries across various disciplines. By …

Autonomous threat hunting: A future paradigm for AI-driven threat intelligence

SR Sindiramutty - arxiv preprint arxiv:2401.00286, 2023 - arxiv.org
The evolution of cybersecurity has spurred the emergence of autonomous threat hunting as
a pivotal paradigm in the realm of AI-driven threat intelligence. This review navigates …

A review on artificial intelligence for the diagnosis of fractures in facial trauma imaging

TD Pham, SB Holmes, P Coulthard - Frontiers in artificial intelligence, 2024 - frontiersin.org
Patients with facial trauma may suffer from injuries such as broken bones, bleeding,
swelling, bruising, lacerations, burns, and deformity in the face. Common causes of facial …

[HTML][HTML] Sensors in the Detection of Abused Substances in Forensic Contexts: A Comprehensive Review

LM Rosendo, M Antunes, AY Simão, AT Brinca… - Micromachines, 2023 - mdpi.com
Forensic toxicology plays a pivotal role in elucidating the presence of drugs of abuse in both
biological and solid samples, thereby aiding criminal investigations and public health …

Deep learning-based human gunshot wounds classification

R Queiroz Nogueira Lira… - International Journal of …, 2024 - Springer
In this paper, we present a forensic perspective on classifying gunshot wound patterns using
Deep Learning (DL). Although DL has revolutionized various medical specialties, such as …

Microbial genomics: a potential toolkit for forensic investigations

P Tripathi, R Render, S Nidhi, V Tripathi - Forensic Science, Medicine and …, 2024 - Springer
Microbial forensics is a new discipline of science that analyzes evidence related to
biological crime through the uniqueness and abundance of microorganisms and their toxins …

[PDF][PDF] Deep Learning-Based Human Gunshot Wounds Classification

RQN Lira, LGM de Sousa, MLM Pinho… - Int. J. Legal …, 2024 - researchgate.net
In this paper, we present a forensic perspective on classifying gunshot wound patterns using
Deep Learning (DL). Although DL has revolutionized various medical specialties, such as …

[HTML][HTML] Exploring the Practical Applications of Artificial Intelligence, Deep Learning, and Machine Learning in Maxillofacial Surgery: A Comprehensive Analysis of …

L Czako, B Sufliarsky, K Simko, M Sovis, I Vidova… - Bioengineering, 2024 - mdpi.com
Artificial intelligence (AI), deep learning (DL), and machine learning (ML) are computer,
machine, and engineering systems that mimic human intelligence to devise procedures …

[HTML][HTML] Diagnostic Challenges in Uncommon Firearm Injury Cases: A Multidisciplinary Approach

AVM Failla, G Licciardello, G Cocimano, L Di Mauro… - Diagnostics, 2024 - mdpi.com
Background: Firearm wounds tend to have a precise pattern. Despite this, real-world case
presentations can present uncertain elements, sometimes deviating from what is considered …