In some implementations, a device may determine an interaction profile for a provider that is to engage with a user in a communication session. The interaction profile may be based on interaction data relating to interpersonal interactions involving the provider during one or more previous communication sessions. The interaction profile may indicate a bias of the provider in connection with one or more categories of users. The device may generate, based on the interaction profile, a visual representation that depicts at least a face of a person for presentation to the provider during the communication session. One or more characteristics associated with the one or more categories of users may be absent from the face of the person. The device may cause presentation of the visual representation to the provider during the communication session.

In some implementations, a device may determine an interaction profile for a provider that is to engage with a user in a communication session. The interaction profile may be based on interaction data relating to interpersonal interactions involving the provider during one or more previous communication sessions. The interaction profile may indicate a bias of the provider in connection with one or more categories of users. The device may generate, based on the interaction profile, a visual representation that depicts at least a face of a person for presentation to the provider during the communication session. One or more characteristics associated with the one or more categories of users may be absent from the face of the person. The device may cause presentation of the visual representation to the provider during the communication session.

Systems, methods, and apparatus provide facilitate detection, processing, and relevancy analysis of clinical data including imaging related clinical context are disclosed and described herein. An example imaging related clinical context apparatus includes a processor to: analyze a plurality of documents to identify a subset of relevant documents in the plurality of document by: applying natural language processing to identify terms in the plurality of documents, a subset of the identified terms forming tagged concepts; processing the identified terms using a machine learning model with respect to a relevancy criterion for an examination to select the subset of relevant documents; and adding an emphasis to the tagged concepts found in the subset of relevant documents. The processor is to output the subset of relevant documents including emphasized tagged concepts.

Systems, methods, and apparatus provide facilitate detection, processing, and relevancy analysis of clinical data including imaging related clinical context are disclosed and described herein. An example imaging related clinical context apparatus includes a processor to: analyze a plurality of documents to identify a subset of relevant documents in the plurality of document by: applying natural language processing to identify terms in the plurality of documents, a subset of the identified terms forming tagged concepts; processing the identified terms using a machine learning model with respect to a relevancy criterion for an examination to select the subset of relevant documents; and adding an emphasis to the tagged concepts found in the subset of relevant documents. The processor is to output the subset of relevant documents including emphasized tagged concepts.

Automated personalized identifier switching is provided for switching personalized identifiers for individuals and groups. For this purpose, a method includes determining, by a computer device, a closeness factor of a contact to a user, matching, by the computer, the determined closeness factor of the contact with an identifier having the same closeness factor stored in a database comprised of a plurality of different types of identifiers of the user, and transmitting the matched identifier from the database to the contact to display as an identifier of the user, wherein at least two of the plurality of identifiers in the database have different closeness factors from one another.

Automated personalized identifier switching is provided for switching personalized identifiers for individuals and groups. For this purpose, a method includes determining, by a computer device, a closeness factor of a contact to a user, matching, by the computer, the determined closeness factor of the contact with an identifier having the same closeness factor stored in a database comprised of a plurality of different types of identifiers of the user, and transmitting the matched identifier from the database to the contact to display as an identifier of the user, wherein at least two of the plurality of identifiers in the database have different closeness factors from one another.

Disclosed is a content-based image retrieval (CBIR) system and related methods that serve as a diagnostic aid for diagnosing whether a dermoscopic image correlates to a skin cancer type. Systems and methods according to aspects of the invention use as a reference a set of images of pathologically confirmed benign or malignant past cases from a collection of different classes that are of high similarity to the unknown new case in question, along with their diagnostic profiles. Systems and methods according to aspects of the invention predict what class of skin cancer is associated with a particular patient skin lesion, and may be employed as a diagnostic aid for general practitioners and dermatologists.

Disclosed is a content-based image retrieval (CBIR) system and related methods that serve as a diagnostic aid for diagnosing whether a dermoscopic image correlates to a skin cancer type. Systems and methods according to aspects of the invention use as a reference a set of images of pathologically confirmed benign or malignant past cases from a collection of different classes that are of high similarity to the unknown new case in question, along with their diagnostic profiles. Systems and methods according to aspects of the invention predict what class of skin cancer is associated with a particular patient skin lesion, and may be employed as a diagnostic aid for general practitioners and dermatologists.

Techniques are described that provide a gallery of media files via a messaging application. The messaging application may include one or more messaging threads between a user and one or more other users. The user may share a media file with another user via a message associated with a message thread. The media files may include photographs, videos, links, screenshots, documents, graphic interchange format (GIF) images, and other media content shared between a user and one or more other users. A communication platform may determine that the message includes a media file and may associate the media file with media galleries associated with the user and the other user. The media galleries may enable both users to easily access shared media content and to quickly identify a particular media files of interest.

Methods, systems, and media for image searching are described. Images comprising one query image and a plurality of candidate images are received. For each candidate image, a first model similarity measure from an output of a first model configured for scene classification to perceive scenes in the images is determined. Further, for each candidate image of the plurality of candidate images, a second model similarity measure from the output of a second model configured for attribute classification to perceive attributes in the images is determined. For each candidate image of the plurality of candidate images, a similarity agglomerate index of a weighted aggregate of the first model similarity measure and the second model similarity measure is computed. The plurality of candidate images based on the respective similarity agglomerate index of each candidate image are ranked and a first ranked candidate images corresponding to the searched images are generated.