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Human vs Machine: The Future of Decision-making in Plastic and Reconstructive Surgery.
Aesthet Surg J
January 2025
Department of Plastic, Reconstructive and Aesthetic Surgery, Faculty of Medicine, Altınbas University, Istanbul, Turkey.
Background: Artificial intelligence (AI)-driven technologies offer transformative potential in plastic surgery, spanning pre-operative planning, surgical procedures, and post-operative care, with the promise of improved patient outcomes.
Objectives: To compare the web-based ChatGPT-4o (omni; OpenAI, San Francisco, CA) and Gemini Advanced (Alphabet Inc., Mountain View, CA), focusing on their data upload feature and examining outcomes before and after exposure to CME articles, particularly regarding their efficacy relative to human participants.
Enhancing Off-Road Topography Estimation by Fusing LIDAR and Stereo Camera Data with Interpolated Ground Plane.
Sensors (Basel)
January 2025
Engineering Design, KTH Royal Institute of Technology, SE-100 44 Stockholm, Sweden.
Topography estimation is essential for autonomous off-road navigation. Common methods rely on point cloud data from, e.g.
View Article and Find Full Text PDFEvaluating ChatGPT-4 for the Interpretation of Images from Several Diagnostic Techniques in Gastroenterology.
J Clin Med
January 2025
Precision Medicine Unit, Department of Gastroenterology, São João University Hospital, Alameda Professor Hernâni Monteiro, 4200-427 Porto, Portugal.
Several artificial intelligence systems based on large language models (LLMs) have been commercially developed, with recent interest in integrating them for clinical questions. Recent versions now include image analysis capacity, but their performance in gastroenterology remains untested. This study assesses ChatGPT-4's performance in interpreting gastroenterology images.
View Article and Find Full Text PDFCan the Dimensional Optimisation of 3D FDM-Manufactured Parts Be a Solution for a Correct Design?
Materials (Basel)
January 2025
Industrial Engineering and Robotics Faculty, Politehnica University of Bucharest, Spl. Independentei 303, 060042 Bucharest, Romania.
Additive manufacturing technology, also known as 3D printing, has emerged as a viable alternative in modern manufacturing processes. Unlike traditional manufacturing methods, which often involve complex mechanical operations that can lead to errors and inconsistencies in the final product, additive technology offers a new approach that enables precise layer-by-layer production with improved geometric accuracy, reduced material consumption and increased design flexibility. Geometrical accuracy is a critical issue in industries such as aerospace, automotive, medicine and consumer goods, hence the importance of the following question: can the dimensional optimisation of 3D FDM-manufactured parts be a solution for correct design? This paper presents a complex study of model parts printed from four common polymers used in fused deposition modelling (FDM) additive technology, namely ABS (acrylonitrile-butadiene-styrene), PLA (polylactic acid), HIPS (high-impact polystyrene) and PETG (polyethylene terephthalate glycol).
View Article and Find Full Text PDFAI-Powered Neurogenetics: Supporting Patient's Evaluation with Chatbot.
Genes (Basel)
December 2024
Genomic Medicine Laboratory UILDM, IRCCS Santa Lucia Foundation, 00179 Rome, Italy.
Background/objectives: Artificial intelligence and large language models like ChatGPT and Google's Gemini are promising tools with remarkable potential to assist healthcare professionals. This study explores ChatGPT and Gemini's potential utility in assisting clinicians during the first evaluation of patients with suspected neurogenetic disorders.
Methods: By analyzing the model's performance in identifying relevant clinical features, suggesting differential diagnoses, and providing insights into possible genetic testing, this research seeks to determine whether these AI tools could serve as a valuable adjunct in neurogenetic assessments.
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