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Preliminary exploration of ChatGPT-4 shows the potential of generative artificial intelligence for culturally tailored, multilingual antimicrobial resistance awareness messaging.
Am J Vet Res
January 2025
Center for Animal Health and Food Safety, Department of Veterinary Population Medicine, College of Veterinary Medicine, University of Minnesota, Saint Paul, MN.
Objective: Antimicrobial resistance (AMR), a global threat driven by factors such as improper antimicrobial use in humans and animals, is projected to cause 10 million annual deaths by 2050. For behavior change, public health messages must be tailored for diverse audiences. Generative AI may have the potential to create culturally and linguistically suited AMR awareness messages.
View Article and Find Full Text PDFAge estimation through sternal fusion and costal cartilage ossification using MSCT in a Croatian population: model development and application.
Int J Legal Med
January 2025
University Department of Forensic Sciences, University of Split, R. Boškovića 33, Split, 21000, Croatia.
This study aimed to test age-related changes in sternal fusion and sternal-rib cartilage ossification on multi-slice computed tomography (MSCT) images of the Croatian population. The additional aim was to develop models to estimate age and provide an interface for the model's application and validation. This retrospective study was conducted on 144 MSCT images of the sternal region, and the developed models were tested on 36 MSCT images.
View Article and Find Full Text PDFExploring prospects, hurdles, and road ahead for generative artificial intelligence in orthopedic education and training.
BMC Med Educ
December 2024
Department of Orthopedics, Guru Gobind Singh Medical College and Hospital, Faridkot, Punjab, 151203, India.
Generative Artificial Intelligence (AI), characterized by its ability to generate diverse forms of content including text, images, video and audio, has revolutionized many fields, including medical education. Generative AI leverages machine learning to create diverse content, enabling personalized learning, enhancing resource accessibility, and facilitating interactive case studies. This narrative review explores the integration of generative artificial intelligence (AI) into orthopedic education and training, highlighting its potential, current challenges, and future trajectory.
View Article and Find Full Text PDFDeveloping a fully applicable machine learning (ML) based sex classification model using linear cranial dimensions.
Sci Rep
December 2024
University Department of Forensic Sciences, University of Split, Split, Croatia.
Recent advances in artificial intelligence (AI) and machine learning (ML) applications have elevated accomplishments in various scientific fields, primarily those that benefit the economy and society. Contemporary threats, such as armed conflicts, natural and man-made disasters, and illegal immigration, often require fast and innovative but reliable identification aids, in which forensic anthropology has a significant role. However, forensic anthropology has not yet exploited new scientific advances but instead relies on traditionally used methods.
View Article and Find Full Text PDFGenerative-adversarial network for falsification of handwritten signatures.
J Forensic Sci
December 2024
Forensics, Institute of Law, University of Silesia, Katowice, Poland.
With further development of generative AI, primarily generative-adversarial networks (GAN), deepfakes are gaining in quality and accessibility. While, forensic methods designed for examination of handwriting are often applied to its digital copies, despite being possibly insensitive to cases of GAN-made forgeries (unless methods of digital forensics are co-employed). Approaching this problem from a novel perspective, we have created a translational GAN tasked with generating false handwritten signatures from limited examples, aiming to ascertain whether traditional methods of signature examination will be effective against such forgeries.
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