Abstract: A method includes receiving an image of a portion of a body of a patient. The image was acquired using a first modality. The method also includes receiving a selection of an area of interest of the image, receiving secondary information about the image, the patient, or both, predicting, using a machine learning model, one or more relevant case histories in a database including case histories and images captured in a plurality of modalities including at least one modality that is different from the first modality. The images are each linked with at least one case history, and the machine learning model is trained to predict the one or more relevant case histories based at least partially on the image, the area of interest, and the secondary information. The method also includes displaying data representing the one or more relevant case histories.

Abstract: A system may include a database comprising historical workflow data, a plurality of workflow videos, and a plurality of video fragments, a review station in communication with the database, and a workflow application comprising routines executed by a processor of the review station and communicatively coupled to the database. The review station may concurrently display image data and one or more workflow videos of the plurality of workflow videos and receive an input corresponding to an action performed on the image data. The workflow application may determine whether the action corresponds to an expected action and update the one or more workflow videos displayed on the review station based on the action.

Abstract: Systems and methods for multi-browser viewers are proposed. A multi-browser system may include multiple browsers as hanging windows in a computer display system. Each browser is its own computer process for individual process management in memory and recovery if the process runs into issues. The system and methods proposed herein allow for the multiple browsers to be coordinated as to the information and views they are sharing to help users understand multiple sources of information quickly and in connection with each other. Such a system may be applicable in the healthcare industry, as one example.

Abstract: The present invention discloses a method of calibrating time interleaved analog to digital converter comprising: sampling a common input signal, said sampling is performed by an array of sub analog to digital converters, each generating individual digital analog equivalent outputs with sampling time errors, said digital outputs are fed to sampling time error estimation circuitry to calculate a digital output proportional to sampling time error between two consecutive channels, without any restriction on input signal or ADC channel design, said timing skew estimator circuitry composed of generating a delayed output of one of the two consecutive ADC channels, channel first and channel second and subtracting the said delayed output with digital output of the said second channel and producing the first subtracted output and output of said second channel subtracted with said first channel output delayed by sampling delay between the two consecutive channels and producing the second subtracted delayed output, absol

Abstract: The present invention discloses a method of calibrating time interleaved analog to digital converter comprising: sampling a common input signal, said sampling is performed by an array of sub analog to digital converters, each generating individual digital analog equivalent outputs with sampling time errors, said digital outputs are fed to sampling time error estimation circuitry to calculate a digital output proportional to sampling time error between two consecutive channels, without any restriction on input signal or ADC channel design, said timing skew estimator circuitry composed of generating a delayed output of one of the two consecutive ADC channels, channel first and channel second and subtracting the said delayed output with digital output of the said second channel and producing the first subtracted output and output of said second channel subtracted with said first channel output delayed by sampling delay between the two consecutive channels and producing the second subtracted delayed output, absol

Abstract: A multilevel analog to digital converter (ADC) is composed of noise shaping filter and multi-level quantizer, where said quantizer is made from an array of comparators, each coupled with one reference level, the said quantizer is coupled with a thermometric digital to analog converters (DAC) in the feedback path, the said DAC output is compared with ADC input and error is fed to noise shaping filter, said reference levels of each quantizer is generated from a digital to analog converter coupled with a digital quantizer reference controller and said digital quantizer reference controller is randomly changing the reference levels in a way that quantizer coupled DAC elements are indirectly randomised to improve the overall linearity and noise performance of the converter.

Abstract: Embodiments of the present invention provide a low voltage continuous time common mode feedback (CMFB) module, for low voltage operational amplifiers, providing good linearity, wide bandwidth and low systematic offset. The common mode feedback module includes a controlling module and an initializing module. The controlling module and the initializing module are parallel common mode feedback loops. The controlling module is a main CMFB loop and the initializing module is an auxiliary CMFB loop and both the loops work simultaneously. The controlling module and the initializing module receive a first differential input voltage and a second differential input voltage supplied by differential outputs of a main differential amplifier. Both the CMFB loops are low gain amplifiers in order to provide operation as linear as possible over the entire differential output operating range of the main differential amplifier.