Publications by authors named "A S Lele"
Unprecedented penetration of artificial intelligence (AI) algorithms has brought about rapid innovations in electronic hardware, including new memory devices. Nonvolatile memory (NVM) devices offer one such attractive alternative with ∼2× density and data retention after powering off. Compute-in-memory (CIM) architectures further improve energy efficiency by fusing the computation operations with AI model storage.
View Article and Find Full Text PDFThis systematic review aimed to identify and describe best practice for the intraoperative anesthetic management of patients undergoing emergent/urgent decompressive craniotomy or craniectomy for any indication. The PubMed, Scopus, EMBASE, and Cochrane databases were searched for articles related to urgent/emergent craniotomy/craniectomy for intracranial hypertension or brain herniation. Only articles focusing on intraoperative anesthetic management were included; those investigating surgical or intensive care unit management were excluded.
View Article and Find Full Text PDFBackground: We implemented a quality improvement project to transition from routine cerebrospinal fluid (CSF) sampling to indication-based sampling in aneurysmal subarachnoid hemorrhage (aSAH) patients with an external ventricular drain (EVD).
Methods: Forty-seven patients were assessed across 2 epochs: routine (n=22) and indication-based (n=25) CSF sampling. The primary outcome was the number of CSF samples, and secondary outcomes included cost reductions and ventriculostomy-associated infections.
Article Synopsis
- Prompt emergence from general anesthesia is essential after neurosurgery to identify complications quickly; delays can occur due to anesthetics, metabolic issues, or intracranial problems.
- The sunset sign—downward eye deviation—can indicate increased intracranial pressure or midbrain issues, commonly seen in conditions like hydrocephalus.
- In a case study, a woman with a pineal mass showed delayed awakening and the sunset sign after surgery, leading to a CT scan that revealed tension pneumocephalus causing midbrain compression with critically high intracranial pressure.
Article Synopsis
- - The study created and validated a risk model to predict high opioid use in patients with acute brain injuries (like stroke or TBI) in a neurocritical care setting.
- - Factors identified as significant predictors of high opioid use included patient age, history of anxiety or illicit drug use, admission diagnosis, and certain clinical conditions like mechanical ventilation and intracranial pressure monitoring.
- - The model showed strong reliability with good accuracy and precision, suggesting it could help clinicians tailor opioid prescriptions, though further validation in larger, multi-center studies is needed.