Diagnosis method using laser induced breakdown spectroscopy and diagnosis device performing the same

    公开(公告)号:US11079279B2

    公开(公告)日:2021-08-03

    申请号:US16863140

    申请日:2020-04-30

    Abstract: Disclosed herein are a diagnostic method using laser induced breakdown spectrum analysis and a diagnostic device for performing the same. The diagnostic method may include projecting a pulsed laser to a suspicious specimen, obtaining first spectrum data on the light collected from the suspicious specimen, projecting the pulsed laser to a non-diseased specimen, obtaining second spectrum data on the light collected from the non-diseased specimen, and determining whether a disease is present in the suspicious specimen from a comparison value of the first spectrum data and the second spectrum data using an artificial neural network.

    Laser-Based System And Method For Diagnosing Pigmented Lesions

    公开(公告)号:US20180206780A1

    公开(公告)日:2018-07-26

    申请号:US15895509

    申请日:2018-02-13

    CPC classification number: A61B5/444 A61B5/0095 A61B5/7435 A61N5/0616

    Abstract: According to one embodiment of the present disclosure, a device for diagnosing a pigmented lesion includes: a sound detector configured to detect a photoacoustic wave generated when a laser is irradiated onto a target from which a pigmented lesion is to be identified; and a diagnosis unit configured to calculate a depth and/or thickness of the pigmented lesion, based on a time at which the photoacoustic wave is detected, and laser irradiation time information on the laser irradiated onto the target.

    DIAGNOSIS METHOD USING LASER INDUCED BREAKDOWN SPECTROSCOPY AND DIAGNOSIS DEVICE PERFORMING THE SAME

    公开(公告)号:US20210140825A1

    公开(公告)日:2021-05-13

    申请号:US17135675

    申请日:2020-12-28

    Abstract: Disclosed herein are a method for diagnosing a disease of a body tissue by using LIBS (Laser-Induced Breakdown Spectroscopy) comprising: preparing a laser device including: a laser projection module, outputting the laser to a suspicious region of the body tissue, a light receiving module, receiving a plurality of light, a spectrum measurement module, and a guide unit; and projecting the laser to generate plasma by inducing tissue ablation in the suspicious region; wherein the laser projected to the suspicious region has a target area, and wherein the target area has smaller size than the suspicious region such that the target area is located inside the suspicious region.

    DIAGNOSTIC DEVICE WITH PROBE INCLUDING CAMERA

    公开(公告)号:US20240148436A1

    公开(公告)日:2024-05-09

    申请号:US18065792

    申请日:2022-12-14

    Applicant: SPECLIPSE, INC

    Abstract: Provided is a method including radiating first guide light, which guides a radiation position of a first pulsed beam, onto a suspicious tissue, receiving a first user input for instructing an output of the first pulsed beam while the first guide light is radiated, applying the first pulsed beam to the suspicious tissue to induce plasma ablation in a first target region corresponding to the radiation point of the first guide light, in response to the first user input, wherein the applying of the first pulsed beam is performed after obtaining first image data obtained by capturing an image of the first guide light and a tissue in a periphery the first guide light while the first guide light is radiated to the suspicious tissue, and obtaining target spectrum data on the plasma ablation, obtaining first disease information, and displaying the first image data and the first disease information.

    SKIN CANCER DIAGNOSIS METHOD BASED ON IMAGE ANALYSIS USING ARTIFICIAL INTELLIGENCE

    公开(公告)号:US20240013394A1

    公开(公告)日:2024-01-11

    申请号:US18065832

    申请日:2022-12-14

    Applicant: SPECLIPSE, INC

    Abstract: Provided is a disease information providing method including obtaining first image data obtained by image-capturing a body part and one or more suspicious tissues located in the body part, analyzing the first image data using an artificial neural network, detecting at least one target tissue from among the one or more suspicious tissues included in the first image data on the basis of the analysis result, requesting second image data on the at least one target tissue, obtaining the second image data obtained by image-capturing the at least one target tissue, obtaining disease information, wherein the second artificial neural network is trained to obtain a target result value related to the plurality of disease indicators for the target tissue included in the image data, and providing a disease score on the basis of the target result value.

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