B - 3 The Role of Artificial Intelligence: Utilization of the Meyers Battery for Diagnostically Differentiating a Complex Neuropsychological Case

Abstract Objectives As medical technology progresses, artificial intelligence (AI) is becoming a common method for providing diagnostic information to patients. In neuropsychology, the Meyers Neuropsychological Battery (MNB) provides impartial data through artificial intelligence. The following case illustrates how AI provided diagnostic clarity and aided in treatment planning. Method A 65-year-old female was referred by her neurosurgeon due to cognitive decline, delusions and hallucinations, and episodes of aggression toward her caretaker. A full, comprehensive neuropsychological examination was administered. Her medical history was remarkable for hypertension, hypercholesterolemia, thyroid cancer, two cerebrovascular accidents, traumatic brain injury, and multiple ischemic strokes. The patient’s most recent imaging was remarkable for chronic encephalomalacia involving the R basal ganglia, mild chronic small vessel ischemic changes, a ventricular shunt within the anterior horn of the R lateral ventricle, and post-coil embolization of a right supraclinoid artery. Results The patient was administered the MNB along with psychological measures. Results were consistent with diffuse and lateralized (RCH > LCH) neuropsychological impairment. Employing the MNB algorithms and AI, this patient’s data matched statistically with Multi-Infarct Dementia, Hydrocephalus, and Lewy Body Dementia. Conclusion These independent applications and AI enable neuropsychologists to respond beyond the “referral question” and provide an objective perspective unique to the patient’s neuropsychological profile. AI is not applied as the only diagnostic approach but rather provides the patient’s medical team with an alternative perspective regarding the entire neuropsychological picture. MNB’s AI not only aids in “matching” neurological conditions to the patient’s profile but also excludes proposed diagnoses in question and underscores a realistic treatment plan.

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Publication Details

Journal
Archives of Clinical Neuropsychology
Published
2024-09-12
DOI
https://doi.org/10.1093/arclin/acae067.164
Primary Topic
EEG and Brain-Computer Interfaces
Type
article
Field-Weighted Citation Impact
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article

B - 3 The Role of Artificial Intelligence: Utilization of the Meyers Battery for Diagnostically Differentiating a Complex Neuropsychological Case

Robert B. Sica, Eleonora Gallagher, Gianna Scimemi, Steven P Greco
Archives of Clinical Neuropsychology
EEG and Brain-Computer Interfaces
article

B - 3 The Role of Artificial Intelligence: Utilization of the Meyers Battery for Diagnostically Differentiating a Complex Neuropsychological Case

Robert B. Sica, Eleonora Gallagher, Gianna Scimemi, Steven P Greco
article en

Abstract

Abstract Objectives As medical technology progresses, artificial intelligence (AI) is becoming a common method for providing diagnostic information to patients. In neuropsychology, the Meyers Neuropsychological Battery (MNB) provides impartial data through artificial intelligence. The following case illustrates how AI provided diagnostic clarity and aided in treatment planning. Method A 65-year-old female was referred by her neurosurgeon due to cognitive decline, delusions and hallucinations, and episodes of aggression toward her caretaker. A full, comprehensive neuropsychological examination was administered. Her medical history was remarkable for hypertension, hypercholesterolemia, thyroid cancer, two cerebrovascular accidents, traumatic brain injury, and multiple ischemic strokes. The patient’s most recent imaging was remarkable for chronic encephalomalacia involving the R basal ganglia, mild chronic small vessel ischemic changes, a ventricular shunt within the anterior horn of the R lateral ventricle, and post-coil embolization of a right supraclinoid artery. Results The patient was administered the MNB along with psychological measures. Results were consistent with diffuse and lateralized (RCH > LCH) neuropsychological impairment. Employing the MNB algorithms and AI, this patient’s data matched statistically with Multi-Infarct Dementia, Hydrocephalus, and Lewy Body Dementia. Conclusion These independent applications and AI enable neuropsychologists to respond beyond the “referral question” and provide an objective perspective unique to the patient’s neuropsychological profile. AI is not applied as the only diagnostic approach but rather provides the patient’s medical team with an alternative perspective regarding the entire neuropsychological picture. MNB’s AI not only aids in “matching” neurological conditions to the patient’s profile but also excludes proposed diagnoses in question and underscores a realistic treatment plan.

Archives of Clinical Neuropsychology
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EEG and Brain-Computer Interfaces
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