Voice Analytics For Predicting The Physical Health Of Patients

Overview

About this study

We aim to test the hypothesis that the quality of human voice can be analyzed by multimodal machine learning approaches to assess overall physiological health in patients by predicting aspiration risk, pulmonary function values, frailty, perioperative/periprocedural/post chemotherapy/transplant risks and improvement of sleep apnea post myofunctional therapy.

Participation eligibility

Participant eligibility includes age, gender, type and stage of disease, and previous treatments or health concerns. Guidelines differ from study to study, and identify who can or cannot participate. There is no guarantee that every individual who qualifies and wants to participate in a trial will be enrolled. Contact the study team to discuss study eligibility and potential participation.

AIM 1: To externally validate our machine learning model to differentiate aspirators from non-aspirators.

Inclusion Criteria:

  • Any patient at or above 18 years of age who has voice recordings available in clinical databases. These include voices recorded in clinics, during routine laryngoscopies, voice/swallow assessments etc. Additionaly those who have VFSS and/or FEES imaging available will be included.

  • Adults aged 18-100.

Exclusion Criteria:

  • Patient’s below 18 years of age, vulnerable population (Pregnant women, prisoners and institutionalized), patients with tracheostomies and those who have expressly declined authorization for research at the Mayo Clinic enterprise.

AIM 2: To develop a ML model that can analyze voice to predict Forced Expiratory Volume in the 1st second (FEV1), using in laboratory spirometry as the gold standard. (Prospective Observational)

AIM 3: To develop a ML model that can analyze voice to predict the degree of frailty, using the modified Fried Frailty Phenotype (FFP) assessment as the gold standard. (Prospective Observational)

  • Adults aged 18-100.

Inclusion Criteria:

  • Any patient at or above 18 years of age who are to undergo in lab PFT measurement or in facility frailty assessment at MCA, but sepcifically in the pulmonary rehabilitation area at MCA Pulmonary department. Depending on success at MCA this will likely be expanded to other Mayo sites.

Exclusion Criteria:

  • Same as in AIM 1.

Note: Other protocol defined Inclusion/Exclusion Criteria may apply.

Eligibility last updated 4/4/2024. Questions regarding updates should be directed to the study team contact.

Participating Mayo Clinic locations

Study statuses change often. Please contact the study team for the most up-to-date information regarding possible participation.

Mayo Clinic Location Status Contact

Scottsdale/Phoenix, Ariz.

Mayo Clinic principal investigator

Cyril Varghese, M.D., M.S.

Open for enrollment

Contact information:

Cyril Varghese M.D., M.S.

voice@mayo.edu

More information

Publications

Publications are currently not available
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CLS-20578571

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