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The Comparative Sufficiency of ChatGPT, Google Bard, and Bing AI in Answering Diagnosis, Treatment, and Prognosis Questions About Common Dermatological Diagnoses.
JMIR Dermatol
January 2025
Skin Refinery PLLC, Spokane, WA, United States.
Our team explored the utility of unpaid versions of 3 artificial intelligence chatbots in offering patient-facing responses to questions about 5 common dermatological diagnoses, and highlighted the strengths and limitations of different artificial intelligence chatbots, while demonstrating how chatbots presented the most potential in tandem with dermatologists' diagnosis.
View Article and Find Full Text PDFBoosting the energy storage performance of BCZT-based capacitors by constructing a Schottky contact.
Mater Horiz
January 2025
School of Materials Science and Engineering, Shaanxi University of Science and Technology, Xi'an 710021, P. R. China.
Multilayer thin films composed of dielectric BaCaZrTiO (BCZT) and oxygen-deficient BCZT (BCZT-OD) were fabricated on (001)-oriented NSTO substrates using the pulsed laser deposition (PLD) technique. Unlike conventional approaches to energy storage capacitors, which primarily focus on compositional or structural modifications, this study explored the influence of the layer sequence and periodicity. The interface between the NSTO substrate and the BCZT-OD layer forms a Schottky barrier, resulting in electric field redistribution across the sublayers of the BCZT/BCZT-OD//(1P) thin film.
View Article and Find Full Text PDFEnhancing Medical Student Engagement Through Cinematic Clinical Narratives: Multimodal Generative AI-Based Mixed Methods Study.
JMIR Med Educ
January 2025
Department of Medical Education, University of Idaho, 875 Perimeter Drive MS 4061, WWAMI Medical Education, Moscow, ID, 83844-9803, United States, 1 5092090908.
Background: Medical students often struggle to engage with and retain complex pharmacology topics during their preclinical education. Traditional teaching methods can lead to passive learning and poor long-term retention of critical concepts.
Objective: This study aims to enhance the teaching of clinical pharmacology in medical school by using a multimodal generative artificial intelligence (genAI) approach to create compelling, cinematic clinical narratives (CCNs).
Can Ordinary AI-Powered Tools Replace a Clinician-Led Fracture Clinic Appointment?
Cureus
December 2024
Orthopaedics, University Hospitals Birmingham National Health Service (NHS) Foundation Trust, Birmingham, GBR.
Introduction Artificial intelligence (AI)-powered tools are increasingly integrated into healthcare. The purpose of the present study was to compare fracture management plans generated by clinicians to those obtained from ChatGPT (OpenAI, San Francisco, CA) and Google Gemini (Google, Inc., Mountain View, CA).
View Article and Find Full Text PDFDifferentiating Cystic Lesions in the Sellar Region of the Brain Using Artificial Intelligence and Machine Learning for Early Diagnosis: A Prospective Review of the Novel Diagnostic Modalities.
Cureus
December 2024
Department of Technology and Clinical Trials, Advanced Research, Deerfield Beach, USA.
This paper investigates the potential of artificial intelligence (AI) and machine learning (ML) to enhance the differentiation of cystic lesions in the sellar region, such as pituitary adenomas, Rathke cleft cysts (RCCs) and craniopharyngiomas (CP), through the use of advanced neuroimaging techniques, particularly magnetic resonance imaging (MRI). The goal is to explore how AI-driven models, including convolutional neural networks (CNNs), deep learning, and ensemble methods, can overcome the limitations of traditional diagnostic approaches, providing more accurate and early differentiation of these lesions. The review incorporates findings from critical studies, such as using the Open Access Series of Imaging Studies (OASIS) dataset (Kaggle, San Francisco, USA) for MRI-based brain research, highlighting the significance of statistical rigor and automated segmentation in developing reliable AI models.
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