Browsing by Author "Gaid, M."

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    ISC-DL: DL For Diagnosis of Ischemic Stroke
    (October university for modern sciences and Arts MSA, 2023) Gaid, M.; Ibrahim, S; .EL-Atrash, M; Ibrahim, M.
    Stroke is still the world's second biggest cause of mortality. It is one of the illnesses that artificial intelligence (AI) can detect. Early detection of an acute stroke is crucial for commencing prompt treatments and reducing morbidity and death. Imaging techniques such as (CT) Computed Tomography and (MRI) Magnetic Resonance Imaging can identify it, however, they take longer and have worse accuracy than AI. Artificial intelligence algorithms are particularly adapted to the rapid decision-making required in the management of big vessel occlusive strokes. Through early categorization by CT and MRI, AI can assist in identifying kinds of strokes such as ischemic and hemorrhagic strokes. With the help of AI, doctors can quickly analyze a patient's brain scan and receive resultsin minutes. Imaging is also important since professionals may evaluate amounts of data and detect any indicators of a possible stroke. AI enhances the quality of (CT) and (MRI) scans, yielding more than 90% accuracy and improving patient care. The AI detection time of a brain stroke is now 5 minutes. We will discuss the use of AI in stroke imaging and how to improve (CT) and (MRI) quality in this study.