首页|New York University (NYU) Reports Findings in Artificial Intelligence (Artificia l intelligence/machine learning for epilepsy and seizure diagnosis)
New York University (NYU) Reports Findings in Artificial Intelligence (Artificia l intelligence/machine learning for epilepsy and seizure diagnosis)
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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 out of New York City, New York, by NewsRx editors, research stated, “Accurate seizure and epilepsy dia gnosis remains a challenging task due to the complexity and variability of manif estations, which can lead to delayed or missed diagnosis. Machine learning (ML) and artificial intelligence (AI) is a rapidly developing field, with growing int erest in integrating and applying these tools to aid clinicians facing diagnosti c uncertainties.” Our news journalists obtained a quote from the research from New York University (NYU), “ML algorithms, particularly deep neural networks, are increasingly empl oyed in interpreting electroencephalograms (EEG), neuroimaging, wearable data, a nd seizure videos. This review discusses the development and testing phases of A I/ML tools, emphasizing the importance of generalizability and interpretability in medical applications, and highlights recent publications that demonstrate the current and potential utility of AI to aid clinicians in diagnosing epilepsy. C urrent barriers of AI integration in patient care include dataset availability a nd heterogeneity, which limit studies’ quality, interpretability, comparability, and generalizability. ML and AI offer substantial promise in improving the accu racy and efficiency of epilepsy diagnosis.”
New York CityNew YorkUnited StatesNorth and Central AmericaArtificial IntelligenceBrain Diseases and Condition sCentral Nervous System Diseases and ConditionsCyborgsDiagnostics and Scre eningEmerging TechnologiesEpilepsyHealth and MedicineMachine Learning
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