Abstract: Image processing engines can be utilized to inject studies into other commercial or independently-developed peer review systems which are designed to review the medical findings identified by a set of physicians. Image processing engines detect, confirm or verify findings by physicians or other engines, where the engines operate as peer reviewers. The engines can prospectively “learn” from the feedback when these images are reviewed by the physicians during diagnostic interpretation creating a closed-loop quality assurance process and fostering a community platform approach to engine development which is supported by the security, governance, access control, regulatory compliance and other features of the Peer Review System. Utilizing machine learning based on the data collected from peer review, the Peer Review System can adapt and improve its performance as well as the measured performance of the physicians using the system for diagnostic interpretation.

Abstract: A medical information server receives a signal from a client device over a network, representing a first user interaction of a user with respect to first medical information displayed to a user. A user interaction analyzer invokes a first set of ECCD rules associated with the user based on the first user interaction to determine medical data categories that the user is likely interested in. The first set of ECCD rules was generated by an ECCD engine based on prior user interactions of the user. A data retrieval module accesses medical data servers corresponding to the medical data categories to retrieve medical data of the medical data categories. A view generator integrates the retrieved medical data to generate one or more views of second medical information and transmits the views of second medical information to a client device to be displayed on a display of the client device.

Abstract: A medical information server receives a signal from a client device representing a first user interaction with first medical data associated with a first medical condition of a patient received from a first medical data server. A data retrieval module accesses a second medical data server to retrieve second medical data of the patient that is related to the first medical data. A data analysis module automatically performs a first analysis on image data of the first medical data to generate image quantitative result and a second analysis on the image quantitative result in view of other medical data of the patient to determine a likelihood of a second medical condition of the patient based on the analysis. A data integrator integrates the second medical data with an analysis result of the analysis to generate and transmit a view of medical information to the client device to be displayed therein.

Abstract: A walk reel mower has a pivotal rear traction drum that can be selectively disposed in two different mowing positions that allow a single mower to cut grass on golf course greens as well as tee boxes with no degradation in cutting or power performance. The reel cutting unit has a pivotal rear shield to allow the rear shield to be pivotally adjusted to maintain its radial spacing relative to the orbit of the reel at a desired amount as the reel diameter decreases due to wear. The ground speed of the walk reel mower is automatically slowed during turns of the mower by a mechanical cable assembly that links a user operable throttle control and throttle reducing control to a prime mover throttle. Finally, the leverage provided by the mower handle assembly when placed in a lowered position is used by the user to more easily deploy a kickstand.

Abstract: Image processing engines can be utilized to inject studies into other commercial or independently-developed peer review systems which are designed to review the medical findings identified by a set of physicians. Image processing engines detect, confirm or verify findings by physicians or other engines, where the engines operate as peer reviewers. The engines can prospectively “learn” from the feedback when these images are reviewed by the physicians during diagnostic interpretation creating a closed-loop quality assurance process and fostering a community platform approach to engine development which is supported by the security, governance, access control, regulatory compliance and other features of the Peer Review System. Utilizing machine learning based on the data collected from peer review, the Peer Review System can adapt and improve its performance as well as the measured performance of the physicians using the system for diagnostic interpretation.

Abstract: A medical information server receives a signal from a client device representing a first user interaction with first medical data associated with a first medical condition of a patient received from a first medical data server. A data retrieval module accesses a second medical data server to retrieve second medical data of the patient that is related to the first medical data. A data analysis module automatically performs a first analysis on image data of the first medical data to generate image quantitative result and a second analysis on the image quantitative result in view of other medical data of the patient to determine a likelihood of a second medical condition of the patient based on the analysis. A data integrator integrates the second medical data with an analysis result of the analysis to generate and transmit a view of medical information to the client device to be displayed therein.

Abstract: A medical information server receives a signal from a client device over a network, representing a first user interaction of a user with respect to first medical information displayed to a user. A user interaction analyzer invokes a first set of ECCD rules associated with the user based on the first user interaction to determine medical data categories that the user is likely interested in. The first set of ECCD rules was generated by an ECCD engine based on prior user interactions of the user. A data retrieval module accesses medical data servers corresponding to the medical data categories to retrieve medical data of the medical data categories. A view generator integrates the retrieved medical data to generate one or more views of second medical information and transmits the views of second medical information to a client device to be displayed on a display of the client device.

Abstract: A method and system for associating medical imaging data with a customized patient report. The system includes a memory for storing a plurality of patient specific attributes and a plurality of user defined rules, the attributes include patient specific medical image data. A stored program is configured to apply a rule to a corresponding attribute and allow an end user to at least one of create, edit, and add at least one of the attributes and the user defined rules. A processor operates with the stored program for processing to establish a conclusion to the rule. An output device is included and configured to generate the customized patient report having the conclusion in text format. The text in the conclusion is also end user configurable.

Abstract: A method and system for associating medical imaging data with a customized patient report. The system includes a memory for storing a plurality of patient specific attributes and a plurality of user defined rules, the attributes include patient specific medical image data. A stored program is configured to apply a rule to a corresponding attribute and allow an end user to at least one of create, edit, and add at least one of the attributes and the user defined rules. A processor operates with the stored program for processing to establish a conclusion to the rule. An output device is included and configured to generate the customized patient report having the conclusion in text format. The text in the conclusion is also end user configurable.