首页|Vilnius University Reports Findings in Artificial Intelligence (Artificial intel ligence: Can it help us better grasp the idea of epilepsy? An exploratory dialog ue with ChatGPT and DALL·E 2)
Vilnius University Reports Findings in Artificial Intelligence (Artificial intel ligence: Can it help us better grasp the idea of epilepsy? An exploratory dialog ue with ChatGPT and DALL·E 2)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Artificial Intelligenc e is the subject of a report. According to news reporting originating in Vilnius , Lithuania, by NewsRx journalists, research stated, “The conceptual definition of epilepsy has been changing over decades and remains debatable. We assessed ho w artificial intelligence (AI) conceives epilepsy and its impact on a person’s l ife through verbal and visual material.” The news reporters obtained a quote from the research from Vilnius University, “ We asked the Chat Generative Pre-Trained Transformer (ChatGPT, OpenAI) to define epilepsy and its impact. Prompts from ChatGPT were transferred to another AI to ol DALL·E 2 (Open AI) to generate visual images based on verbal input. The ChatG PT definition on epilepsy relied on both its conceptual and practical definition s. It titled epilepsy to be ‘a neurological disorder characterized by recurring seizures’ that has significant impact on patients’ lives and is diagnosed after two or more unprovoked seizures or if there is a high risk of future seizures. C hatGPT presented nine issues - seizure-related injuries, limitations on daily ac tivities, emotional and psychological impact, social stigma and isolation, educa tional and employment challenges, relationship and family dynamics, medication s ide effects, financial burden, and coexisting conditions - as major consequences of epilepsy. AI-generated images ranged from direct portrayals of these phenome na to abstract imagery but were mostly deprived of symbolic elements and visual metaphors. We showed that AI can identify and visually interpret the burden of e pilepsy from medical, societal and economical perspectives. However, the imagery created is not figurative and does not follow allegorical narratives put forwar d by epilepsy specialists in similar studies.”
VilniusLithuaniaEuropeArtificial I ntelligenceBrain Diseases and ConditionsCentral Nervous System Diseases and ConditionsEmerging TechnologiesEpilepsyHealth and MedicineMachine Learni ngNervous System Diseases and ConditionsNeurologic ManifestationsSeizures
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