Evaluating performance of a near-infrared-spectroscopy-based and machine-learning-powered bio-optical sensitivity parameters in identifying intracranial hemorrhages in TBI across different age-groups.

Journal: Brain injury

PMID: 39082786

Abstract

PRIMARY OBJECTIVE: To evaluate the accuracy of an innovative machine-learning-powered near-infrared spectroscopy (mNIRS)-based bio-optical sensitivity parameters, namely specific tissue optical index (STOI) and intracranial tissue optical index (ITOI) for effective triaging of patients with suspected traumatic brain injury (TBI) across different age-groups to facilitate timely intervention and curtail the silent epidemic.

Authors

Jaimin Shah

Department of Neurosurgery, Civil Hospital, Ahmedabad, India.
Shailendra Solanki

Department of Neurosurgery, Civil Hospital, Ahmedabad, India.
Abhishek Chandra

Department of Surgery, Mayo Clinic, 200 1st St SW, Rochester, MN, 55905, USA.
Mangukiya Laljibhai Shivabhai

Department of Neurosurgery, B. J. Medical College, Ahmedabad, India.
Pooja Gwalani

Department of Neurosurgery, B. J. Medical College, Ahmedabad, India.

Keywords

Adolescent Adult Age Factors Aged Aged, 80 and over Brain Injuries, Traumatic Child Child, Preschool Cross-Sectional Studies Double-Blind Method Female Humans Intracranial Hemorrhages Machine Learning Male Middle Aged Prospective Studies Sensitivity and Specificity Spectroscopy, Near-Infrared Young Adult

External Resources

View on PubMed Access via DOI PubMed (39082786)

Evaluating performance of a near-infrared-spectroscopy-based and machine-learning-powered bio-optical sensitivity parameters in identifying intracranial hemorrhages in TBI across different age-groups.

Abstract

Authors

Keywords

External Resources

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