Abstract: Disclosed herein is a method and system for determining quality of an input document during risk and compliance assessment. The method includes receiving input document for risk and compliance assessment, identifying a document type, and at least one sub-type of the input document using a Natural Language Processing (NLP) technique and a trained neural network model. Layout of content present in the input document is detected based on each of a plurality of segments extracted from content and structural parameters associated with respective segments. A document review model is identified from a plurality of document review models based on type and at least one sub-type of input document. Thereafter, the quality of the input document and a compliance score is determined by identifying one or more deviations of content of the input document from content of a predefined template for the input document.

Abstract: An exemplary self-locking actuator mechanism includes a floating plate and a linear actuator. The floating plate defines a first slot that includes a first central portion, a first jog extending laterally from a first end of the first central portion, and a second jog extending laterally from a second end of the first central portion. The linear actuator includes a shaft pivotably connected to the floating plate, and is operable to drive the shaft between a first shaft position and a second shaft position to thereby move the self-locking actuator mechanism between a first locking state and a second locking state.

Abstract: There is provided a computer-implemented method (200) for obscuring one or more facial features of a subject in an image. A head of the subject is detected in the image (202) and a location of one or more facial features of the subject is identified in the image (204). A region of the image to modify is determined based on the location of the one or more facial features (206). The determined region comprises a part of the head on which the one or more facial features are located. The image within the determined region is modified to obscure the one or more facial features (208).

Abstract: A phototherapy monitoring device (10) includes a housing (12) configured for attachment to a patient, and a user interfacing device. An optical bilimbin sensor (14) includes one or more light sources (16) operative to generate probe light and arranged on or in the housing such that the probe light is reflected from or transmitted through skin of the patient when the housing is attached to the patient; and one or more photodetectors (18) arranged on or in the housing to detect the probe light reflected from or transmitted through the skin of the patient. At least one electronic processor (28) is disposed on or in the housing and programmed to: continuously generate a current bilimbin level measurement from the detected probe light reflected from or transmitted through the skin of the patient; and control the user interfacing device to generate a notification when the current bilirubin level measurement satisfies a safe bilimbin level.

Abstract: Disclosed herein is a method and system for evaluating compliance of standard clinical guidelines in medical treatments of one or more patients. Electronic Health Records (EHRs) of the patients are received and aggregated to obtain patient-specific EHRs. Subsequently, the patients are clustered into groups based on disease conditions and socio-demographic characteristics of patients. Further, deviations in the medical treatments provided to the patients are detected by comparing the medical treatments with standard clinical guidelines, for evaluating compliance of the standard clinical guidelines with the medical treatments. In an embodiment, the method of present disclosure helps in detecting care gaps among the medical treatments provided to the patients, and thereby helps in providing improvised and/or patient-specific medical assistance to the patients.

Abstract: There is provided a computer-implemented method (200) for obscuring one or more facial features of a subject in an image. A head of the subject is detected in the image (202) and a location of one or more facial features of the subject is identified in the image (204). A region of the image to modify is determined based on the location of the one or more facial features (206). The determined region comprises a part of the head on which the one or more facial features are located. The image within the determined region is modified to obscure the one or more facial features (208).