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公开(公告)号：US20240324908A1
公开(公告)日：2024-10-03
申请号：US18130135
申请日：2023-04-03
申请人： Modality.AI
发明人： Vikram Ramanarayanan , Michael Neumann , William Burke , David Pautler , Hardik Kothare , Doug Habberstad , Oliver Roesler , Jackson Liscombe , Andrew Cornish , David Suendermann-Oeft
CPC分类号： A61B5/1124 , A61B5/7475 , G16H50/30 , G16H80/00
摘要： A system for administering performance tests to patients remotely has a server that can execute one or more performance tests, presented to the patient via a virtual agent running on the patient's computing device. The performance tests ask the patient to perform a task and then the patient's computing device captures the performance of the task such that the server can analyze the results and determine whether the patient suffers from a condition. The system is capable of adapting based on how a patient performs the tests, whether additional tests are needed or due to technical difficulties.
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公开(公告)号：US20230018524A1
公开(公告)日：2023-01-19
申请号：US17508693
申请日：2021-10-22
申请人： MODALITY.AI, INC.
发明人： Vikram Ramanarayanan , Oliver Roesler , Michael Neumann , David Pautler , Doug Habberstad , Andrew Cornish , Hardik Kothare , Vignesh Murali , Jackson Liscombe , Dirk Schnelle-Walka , Patrick Lange , David Suendermann-Oeft
摘要： A virtual agent instructs a responding person to perform specific verbal exercises. Audio and image inputs from the responding person's performance of the exercises are used to identify speech, video, cognitive, and/or respiratory biomarkers, which are then used to evaluate speech motor function and/or neurological health. Contemplated exercises include test aspects of oral motor proficiency, sustained phonation, diadochokinesis, reading speech, spontaneous speech, spirometry, picture description, and emotion elicitation. Metrics from evaluation of the responding person's performance are advantageously produced automatically, and are presented in spreadsheet format.
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公开(公告)号：US20220335939A1
公开(公告)日：2022-10-20
申请号：US17724320
申请日：2022-04-19
申请人： Modality.AI
发明人： Jackson Liscombe , Hardik Kothare , Doug Habberstad , Andrew Cornish , Oliver Roesler , Michael Neumann , David Pautler , David Suendermann-Oeft , Vikram Ramanarayanan
摘要： A computer-generated dialog session is customized for a user having a pathology characterized at least in part by a speech pathology. The user's speech is analyzed for spans of speech in which the starts and ends of the spans satisfy predetermined thresholds of time. Customization occurs by altering at least one of the following configurable parameters: (a) a threshold minimum signal strength of speech (dB) to consider as the start of the span of speech; (b) an adjustment factor by which signal strengths of background noise increases between consecutive spans of speech; (c) a threshold between signal strength during the span of speech and signal strength during the span of non-speech; (d) a start speech time threshold; and (e) an end speech time threshold.
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公开(公告)号：US20220139562A1
公开(公告)日：2022-05-05
申请号：US17471929
申请日：2021-09-10
申请人： MODALITY.AI, INC.
摘要： A virtual agent converses with a patient or other person to assess one or more psychological or other medical conditions of the other person. The virtual agent uses both semantic and affect content from the person to branch the conversation, and to assess a psychological or other condition of the person. The virtual agent can have artificial intelligence functionalities or can utilize a separate artificial intelligence functionality. A communication agent can be utilized to monitor a telecommunication session with the person, and if appropriate, modify relative bandwidth utilization between the audio and image inputs. The virtual agent/artificial intelligence agent can simultaneously assist multiple virtual agents, who are each conversing with a responding person assessing their psychological or other medical condition(s), in parallel. The contemplated virtual agents can be especially useful in assessing disorder severity in multiple neurological and mental disorders.
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