Clinical Relevance: Visual field testing is essential in the diagnosis and management of various ophthalmic diseases, particularly glaucoma. Integrating ChatGPT-4 into the interpretation of these tests has the potential to aid clinical decision making and improve efficiency and accessibility in clinical practice.
Background: This study aims to evaluate the capability of ChatGPT-4 in interpreting visual field tests.
Method: A total of 30 patient visual field printouts, either with or without defects, were included in this study. The performance of ChatGPT-4 in identifying test name, pattern, reliability indices, total deviation map, pattern deviation map and greyscale map was evaluated and compared with that of 2 experienced glaucoma consultants. The study also focused on the ability of ChatGPT to categorise tests as 'normal' or suggest diagnosis by interpreting tests accurately.
Results: The results showed that ChatGPT-4 was highly accurate in identifying test names (100%), patterns (90%) and global visual field indices (96.7%). It also accurately classified tests as reliable or unreliable (93.3%).The model provided 66.7% and 30% accurate and adequate answers in interpreting deviation and greyscale maps, respectively. In addition, in 33.3% of tests, it was able to accurately interpret the visual field test and classify it as 'normal' or suggest a diagnosis.
Conclusion: The study highlights the potential of large language models like ChatGPT-4 in assessing visual field tests. ChatGPT-4 could interpret numeric data on tests accurately. However, it was inadequate in interpreting deviation and greyscale maps and suggesting a diagnosis according to the defects.
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http://dx.doi.org/10.1080/08164622.2025.2463518 | DOI Listing |
Talanta
March 2025
State Key Laboratory of Rice Biology and Breeding, Zhejiang Key Laboratory of Biology and Ecological Regulation of Crop Pathogens and Insects, Institute of Biotechnology, Zhejiang University, Hangzhou, 310058, China; Hainan Institute of Zhejiang University, Sanya, 572025, China. Electronic address:
Xanthomonas oryzae pv. oryzae (Xoo) and Xanthomonas oryzae pv. oryzicola (Xoc) are two important rice bacterial pathogens, causing serious losses of global rice yield every year.
View Article and Find Full Text PDFJ Neural Eng
March 2025
Institute of Semiconductors Chinese Academy of Sciences, Beijing, Beijing, 100083, CHINA.
Objective: In the field of brain-computer interface (BCI), achieving high information transfer rates (ITR) with a large number of targets remains a challenge. This study aims to address this issue by developing a novel code-modulated visual evoked potential (c-VEP) BCI system capable of handling an extensive instruction set while maintaining high performance.
Method: We propose a c-VEP BCI system that employs narrow-band random sequences as visual stimuli and utilizes a convolutional neural network (CNN)-based EEG2Code decoding algorithm.
IEEE Trans Neural Syst Rehabil Eng
March 2025
Spatial division multiple access (SDMA) is a way of encoding BCI systems based on spatial distribution of brain signal characteristics. However, SDMA-BCI based on EEG had poor system performance limited by spatial resolution. MEG-EEG fusion modality analysis can help solve this problem.
View Article and Find Full Text PDFNanomaterials (Basel)
March 2025
College of Petrochemical Engineering & Environment, Zhejiang Ocean University, Zhoushan 316021, China.
Nanoparticles (NPs) have shown great potential in stabilizing foam for enhanced oil recovery (EOR). However, conventional NPs are difficult to recover and may contaminate produced oil, increasing operational costs. In contrast, superparamagnetic FeO NPs can be efficiently recovered using external magnetic fields, offering a sustainable solution for foam stabilization.
View Article and Find Full Text PDFJ Glaucoma
March 2025
Smt. Jadhavbai Nathmal Singhvee Glaucoma Services Medical Research Foundation, Sankara Nethralaya, Chennai.
Precis: Visual fields in glaucoma significantly progressed during the COVID-19 pandemic, likely due to reduced compliance and lack of availability of medication.
Purpose: To study the impact of the COVID-19 pandemic on the rate of visual field progression in glaucoma and to validate the factors affecting progression.
Methods: This hospital based prospective cohort study included patients diagnosed with primary open angle glaucoma, primary angle closure glaucoma and ocular hypertension who fulfilled the eligibility criteria.
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