AIMC Topic: Ketamine
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Lateral flow and colorimetric assay for ketamine detection reinforced with deep learning model interfaced with mobile app for smart alert.
Mikrochimica acta
Aug 9, 2025
Point-of-care (POC) devices have grown in popularity due to their ease of use, low cost, and speedy on-site diagnostic capabilities. This study focuses on ketamine detection by colorimetric and lateral flow assays (LFA), with aptamer-based LFA emergi...
Development and validation of machine learning models for predicting post-cesarean pain and individualized pain management strategies: a multicenter study.
BMC anesthesiology
Apr 10, 2025
BACKGROUND: Effective management of postoperative pain remains a significant challenge in obstetric care due to the variability in pain perception and response influenced by physical, medical, and psychosocial factors. Current standardized pain manag...
S-ketamine exposure in early postnatal period induces social deficit mediated by excessive microglial synaptic pruning.
Molecular psychiatry
Mar 11, 2025
The impact of general anesthetics on neurodevelopment is highly controversial in terms of clinical and preclinical studies. Evidence mounted in recent years indicated development of social cognitions was more susceptible to general anesthesia in earl...
Predicting drug craving among ketamine-dependent users through machine learning based on brain structural measures.
Progress in neuro-psychopharmacology & biological psychiatry
Dec 9, 2024
BACKGROUND: Craving is a core factor driving drug-seeking and -taking, representing a significant risk factor for relapse. This study aims to identify neuroanatomical biomarkers for quantifying and predicting craving.
Artificial intelligence-based drug repurposing with electronic health record clinical corroboration: A case for ketamine as a potential treatment for amphetamine-type stimulant use disorder.
Addiction (Abingdon, England)
Nov 17, 2024
BACKGROUND AND AIMS: Amphetamine-type stimulants are the second-most used illicit drugs globally, yet there are no US Food and Drug Administration (FDA)-approved treatments for amphetamine-type stimulant use disorders (ATSUD). The aim of this study w...
Accurate Machine Learning-based Monitoring of Anesthesia Depth with EEG Recording.
Neuroscience bulletin
Sep 17, 2024
General anesthesia, pivotal for surgical procedures, requires precise depth monitoring to mitigate risks ranging from intraoperative awareness to postoperative cognitive impairments. Traditional assessment methods, relying on physiological indicators...
The metabolic clock of ketamine abuse in rats by a machine learning model.
Scientific reports
Aug 14, 2024
Ketamine has recently become an anesthetic drug used in human and veterinary clinical medicine for illicit abuse worldwide, but the detection of illicit abuse and inference of time intervals following ketamine abuse are challenging issues in forensic...
At-home, telehealth-supported ketamine treatment for depression: Findings from longitudinal, machine learning and symptom network analysis of real-world data.
Journal of affective disorders
May 27, 2024
BACKGROUND: Improving safe and effective access to ketamine therapy is of high priority given the growing burden of mental illness. Telehealth-supported administration of sublingual ketamine is being explored toward this goal.
Oral ketamine effects on dynamics of functional network connectivity in patients treated for chronic suicidality.
European archives of psychiatry and clinical neuroscience
May 21, 2024
The underlying brain mechanisms of ketamine in treating chronic suicidality and the characteristics of patients who will benefit from ketamine treatment remain unclear. To address these gaps, we investigated temporal variations of brain functional sy...
Ketofol as an Anesthetic Agent in Patients With Isolated Moderate to Severe Traumatic Brain Injury: A Prospective, Randomized Double-blind Controlled Trial.
Journal of neurosurgical anesthesiology
May 13, 2021
BACKGROUND: The effects of ketofol (propofol and ketamine admixture) on systemic hemodynamics and outcomes in patients undergoing emergency decompressive craniectomy for traumatic brain injury (TBI) are unknown and explored in this study.
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