Abstract: A distinguishing device for dental plaque and dental calculus includes a light-emitting diode, an image sensing unit, and a processor. The light-emitting diode movies in a first direction and is separated from teeth in an oral cavity by a predetermined distance in a second direction. The second direction is perpendicular to the first direction. The light-emitting diode generates a blue light to illuminate the teeth, so that dental plaque on the teeth generates a first autofluorescence and dental calculus on the teeth generates a second autofluorescence. The image sensing unit is configured to sense the first autofluorescence and the second autofluorescence. The processor is coupled to the image sensing unit to distinguish a dental plaque area from a dental calculus area on the teeth according to the first autofluorescence and the second autofluorescence.

Abstract: An image classifying device is provided in the invention. The image classifying device includes a storage device, a calculation circuit and a classifying circuit. The storage device stores information corresponding to a plurality of image classes. The calculation circuit obtains a target image from an image extracting device and obtains the feature vector of the target image. The calculation circuit obtains a first estimation result corresponding to the target image based on the information corresponding to the plurality of image classes and the feature vector and obtains a second estimation result corresponding to the target image based on a reference image, wherein the reference image corresponds to one of the image classes. The classifying circuit adds the target image into one of the image classes based on the first estimation result and the second estimation result.

Abstract: A video conference system built in an internet protocol (IP) network is provided. The system has a multimedia capturing unit, a DECT telephone, and a video conference terminal apparatus. The DECT telephone is utilized to perform video conferencing with the video conference terminal apparatus by receiving and transmitting sounds. The DECT telephone is further utilized to control the video conference terminal apparatus to capture a target image in the video signals from other users in the video conference. The video conference terminal apparatus updates the phonebook image in the phonebook database thereof with the target image.

Abstract: A video conference system built in an internet protocol (IP) network is provided. The system has a multimedia capturing unit, a DECT telephone, and a video conference terminal apparatus. The DECT telephone is utilized to perform video conferencing with the video conference terminal apparatus by receiving and transmitting sounds. The DECT telephone is further utilized to control the video conference terminal apparatus to capture a target image in the video signals from other users in the video conference. The video conference terminal apparatus updates the phonebook image in the phonebook database thereof with the target image.

Abstract: A method for patient risk level evaluation is provided, implemented with a remote medical care center. The remote medical care center connects with a plurality of health care locations at various locations over a network. Patient data of a plurality of patients is received from the plurality of health care locations via the network. An occurred event for each patient is determined, and each of the occurred events is classified into deteriorating or ameliorating category. The patients corresponding to the same events are sorted into a group, and the patients within the group are ranked according to severity of illness of each patient. A risk score for each patient is determined according to the corresponding event. Patient ranking orders corresponding to the events of the deteriorating and the ameliorating category are generated and displayed.

Abstract: A method for patient risk level evaluation is provided, implemented with a remote medical care center. The remote medical care center connects with a plurality of health care locations at various locations over a network. Patient data of a plurality of patients is received from the plurality of health care locations via the network. An occurred event for each patient is determined, and each of the occurred events is classified into deteriorating or ameliorating category. The patients corresponding to the same events are sorted into a group, and the patients within the group are ranked according to severity of illness of each patient. A risk score for each patient is determined according to the corresponding event. Patient ranking orders corresponding to the events of the deteriorating and the ameliorating category are generated and displayed.