Introduction: Complex patient diagnoses in dentistry require a multifaceted approach which combines interpretations of clinical observations with an in-depth understanding of patient history and presenting problems. The present study aims to elucidate the implications of ChatGPT (OpenAI) as a comprehensive diagnostic tool in the dental clinic through examining the chatbot's diagnostic performance on challenging patient cases retrieved from the literature.
Methods: Our study subjected ChatGPT3.5 and ChatGPT4 to descriptions of patient cases for diagnostic challenges retrieved from the literature. Sample means were compared using a two-tailed t-test, while sample proportions were compared using a two-tailed χ test. A p-value below the threshold of 0.05 was deemed statistically significant.
Results: When prompted to generate their own differential diagnoses, ChatGPT3.5 and ChatGPT4 achieved a diagnostic accuracy of 40% and 62%, respectively. When basing their diagnostic processes on a differential diagnosis retrieved from the literature, ChatGPT3.5 and ChatGPT4 achieved a diagnostic accuracy of 70% and 80%, respectively.
Conclusion: ChatGPT displays an impressive capacity to correctly diagnose complex diagnostic challenges in the field of dentistry. Our study paints a promising potential for the chatbot to 1 day serve as a comprehensive diagnostic tool in the dental clinic.
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http://dx.doi.org/10.1111/odi.15082 | DOI Listing |
JAMA Neurol
January 2025
Department of Neurology, Xuanwu Hospital Capital Medical University, National Center for Neurological Disorders, Beijing, China.
Importance: Autoantibodies targeting astrocytes, such as those against glial fibrillary acidic protein (GFAP) or aquaporin protein 4, are crucial diagnostic markers for autoimmune astrocytopathy among central nervous system (CNS) autoimmune disorders. However, diagnosis remains challenging for patients lacking specific autoantibodies.
Objective: To characterize a syndrome of unknown meningoencephalomyelitis associated with an astrocytic autoantibody.
Comput Methods Biomech Biomed Engin
January 2025
Department of Gastroenterolgy, The Second Affiliated Hospital of Chengdu Medical College, China National Nuclear Corporation 416 Hospital, Chengdu, China.
The global rise in Crohn's Disease (CD) incidence has intensified diagnostic challenges. This study identified circadian rhythm-related biomarkers for CD using datasets from the GEO database. Differentially expressed genes underwent Weighted Gene Co-Expression Network Analysis, with 49 hub genes intersected from GeneCards data.
View Article and Find Full Text PDFArch Pathol Lab Med
January 2025
the Department of Pathology, The Ohio State University, Columbus (Parwani).
Context.—: Generative artificial intelligence (AI) has emerged as a transformative force in various fields, including anatomic pathology, where it offers the potential to significantly enhance diagnostic accuracy, workflow efficiency, and research capabilities.
Objective.
Cell Biochem Biophys
January 2025
Department of Electronics and Communication Engineering, Hajee Mohammad Danesh Science and Technology University, Dinajpur, 5200, Bangladesh.
Blood components play a crucial role in maintaining human health and accurately detecting them is essential for medical diagnostics. A cutting-edge sensor utilizing PCF revealed to precisely identify a wide range of blood components with WBCs (white blood cells), RBCs (red blood cells), HB (hemoglobin), platelets, and plasma. A numerical analysis was performed using COMSOL Multiphysics software to assess the capabilities of the sensor.
View Article and Find Full Text PDFFunct Integr Genomics
January 2025
Children's Medical Center, Peking University First Hospital, No.5 Le Yuan Road, Daxing District, 100034, Beijing, China.
Long-read sequencing has emerged as a transformative technology in recent years, offering significant potential for the molecular diagnosis of unresolved genetic disorders. Despite its promise, the comprehensive detection and clinical annotation of genomic variants remain intricate and technically demanding. We present SUMMER, an integrated and structured workflow specifically designed to process raw Nanopore sequencing reads.
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