Big Data and Artificial Intelligence for Precision Medicine in the Neuro-ICU: Bla, Bla, Bla

[1] Hawryluk GWJ(2019)A management algorithm for patients with intracranial pressure monitoring: the Seattle International Severe Traumatic Brain Injury Consensus Conference (SIBICC) Intensive Care Med 3 109-114

[2] Aguilera S(2020)A management algorithm for adult patients with both brain oxygen and intracranial pressure monitoring: the Seattle international severe traumatic brain injury consensus conference (SIBICC) Intensive Care Med 46 919-929

[3] Buki A(2021)Association of dose of intracranial hypertension with outcome in subarachnoid hemorrhage Neurocrit Care 3 722-730

[4] Bulger E(2021)Prediction model for intracranial hypertension demonstrates robust performance during external validation on the CENTER-TBI dataset Intensive Care Med 47 124-126

[5] Citerio G(2015)Visualizing the pressure and time burden of intracranial hypertension in adult and paediatric traumatic brain injury Intensive Care Med 41 1067-1076

[6] Cooper DJ(2017)Severe traumatic brain injury: targeted management in the intensive care unit Lancet Neurol 16 452-464

[7] Chesnut R(2015)Automatic epileptic seizure detection using scalp EEG and advanced artificial intelligence techniques Biomed Res Int 2015 986736-813

[8] Aguilera S(2019)Efficient epileptic seizure prediction based on deep learning IEEE Trans Biomed Circuits Syst 13 804-585

[9] Buki A(2020)The state of artificial intelligence-based FDA-approved medical devices and algorithms: an online database NPJ Digit Med 3 118-2505

[10] Bulger E(2020)Artificial intelligence for decision support in acute stroke - current roles and potential Nat Rev Neurol 16 575-1432

[1] Hawryluk GWJ(2019)A management algorithm for patients with intracranial pressure monitoring: the Seattle International Severe Traumatic Brain Injury Consensus Conference (SIBICC) Intensive Care Med 3 109-114

[2] Aguilera S(2020)A management algorithm for adult patients with both brain oxygen and intracranial pressure monitoring: the Seattle international severe traumatic brain injury consensus conference (SIBICC) Intensive Care Med 46 919-929

[3] Buki A(2021)Association of dose of intracranial hypertension with outcome in subarachnoid hemorrhage Neurocrit Care 3 722-730

[4] Bulger E(2021)Prediction model for intracranial hypertension demonstrates robust performance during external validation on the CENTER-TBI dataset Intensive Care Med 47 124-126

[5] Citerio G(2015)Visualizing the pressure and time burden of intracranial hypertension in adult and paediatric traumatic brain injury Intensive Care Med 41 1067-1076

[6] Cooper DJ(2017)Severe traumatic brain injury: targeted management in the intensive care unit Lancet Neurol 16 452-464

[7] Chesnut R(2015)Automatic epileptic seizure detection using scalp EEG and advanced artificial intelligence techniques Biomed Res Int 2015 986736-813

[8] Aguilera S(2019)Efficient epileptic seizure prediction based on deep learning IEEE Trans Biomed Circuits Syst 13 804-585

[9] Buki A(2020)The state of artificial intelligence-based FDA-approved medical devices and algorithms: an online database NPJ Digit Med 3 118-2505

[10] Bulger E(2020)Artificial intelligence for decision support in acute stroke - current roles and potential Nat Rev Neurol 16 575-1432