20240023858. SYSTEMS AND METHODS FOR HUMAN-MACHINE PARTNERED PTSD PREDICTION simplified abstract (The MITRE Corporation)

SYSTEMS AND METHODS FOR HUMAN-MACHINE PARTNERED PTSD PREDICTION

Organization Name

The MITRE Corporation

Inventor(s)

Qian Hu of Lexington MA (US)

Matthew E. Coarr of Newton MA (US)

Keith A. Crouch of Cambridge MA (US)

Hiroshi N. Fujii of Waltham MA (US)

Joshua J. Kraunelis of Lowell MA (US)

Brian P. Marx of Sharon MA (US)

Terence M. Keane of Brookline MA (US)

SYSTEMS AND METHODS FOR HUMAN-MACHINE PARTNERED PTSD PREDICTION - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240023858 titled 'SYSTEMS AND METHODS FOR HUMAN-MACHINE PARTNERED PTSD PREDICTION

Simplified Explanation

The patent application describes a method for predicting a PTSD diagnosis in a patient using audio input data and clinical assessment data. Here is a simplified explanation of the abstract:

• The method involves receiving audio input data from a patient.
• One or more audio input indicators are determined based on the audio input data. Each audio input indicator represents the likelihood of a positive PTSD diagnosis based on the audio input data.
• Clinical assessment data is received from the patient.
• One or more clinical assessment indicators are determined based on the clinical assessment data. Each clinical assessment indicator represents the likelihood of a positive PTSD diagnosis based on the clinical assessment data.
• The audio input indicators and the clinical assessment indicators are combined using a prediction model chosen by a clinician.
• A PTSD diagnosis in the patient is determined based on the audio input data and the clinical assessment data.

Potential applications of this technology:

• PTSD diagnosis: The method can be used to predict a PTSD diagnosis in patients based on audio input data and clinical assessment data. This can assist clinicians in identifying and treating patients with PTSD.

Problems solved by this technology:

• Early detection: The method allows for the early detection of PTSD in patients by analyzing audio input data and clinical assessment data. This can lead to timely intervention and treatment.

Benefits of this technology:

• Improved accuracy: By combining audio input indicators and clinical assessment indicators, the method can provide a more accurate prediction of a PTSD diagnosis in patients.
• Objective assessment: The use of audio input data and clinical assessment data provides an objective assessment of PTSD, reducing the reliance on subjective evaluations.
• Time-saving: The method can save time for clinicians by automating the prediction process, allowing them to focus on treatment and care.

Original Abstract Submitted

provided is a method for predicting a ptsd diagnosis in a patient comprising receiving audio input data from a patient; determining one or more audio input indicators based on the audio input data, wherein each audio input indicator of the one or more audio input indicators represents a likelihood of a positive ptsd diagnosis based on the audio input data; receiving clinical assessment data from the patient; determining one or more clinical assessment indicators based on the clinical assessment data, wherein each clinical assessment indicator of the one or more clinical assessment indicators represents a likelihood of a positive ptsd diagnosis based on the clinical assessment data; combining the one or more audio input indicators and the one or more clinical assessment indicators using a prediction model chosen by a clinician; and determining a ptsd diagnosis in the patient based on the audio input data and the clinical assessment data.