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Future horizons: The potential role of artificial intelligence in cardiology
Cardiovascular diseases (CVDs) are the leading cause of premature death and disability
globally, leading to significant increases in healthcare costs and economic strains. Artificial …
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
This review provides a comprehensive analysis of the transformative role of artificial
intelligence (AI) in predicting and preventing sports injuries across various disciplines. By …
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 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 …
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 …
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 …
Deep Learning (DL). Although DL has revolutionized various medical specialties, such as …
Microbial genomics: a potential toolkit for forensic investigations
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 …
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 …
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 …
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 …
presentations can present uncertain elements, sometimes deviating from what is considered …