10 results about "Heart defect" patented technology

The utility model relates to the technical field of ventricular septum perforation plugging devices, and discloses a novel ventricular septum perforation plugging device which comprises a fixing column and a first disc-shaped net arranged on the outer side of the fixing column, a connecting waist part is further arranged on the outer side of the fixing column, and the connecting waist part is connected with the first disc-shaped net. A second disc-shaped net is arranged on the side, away from the first disc-shaped net, of the connecting waist part, an end is arranged on one side of the second disc-shaped net, and before use, a small screw at the front end of a transmission steel cable is used for being connected with the end, so that the whole compressed plugging device can be transmitted to a heart defect part through a pipeline; the first disc-shaped net and the second disc-shaped net are used for blocking, the defect part can be blocked, the biological membrane can make contact with the heart defect part, the sealing performance is further improved, meanwhile, the polyurethane coating has certain flexibility, friction between the polyurethane coating and the heart defect part is effectively reduced, and the service life of the heart defect part is prolonged. The heparin coating can reduce the risk of thrombus formation, so that the use risk is reduced.

Systems and methods are provided for processing image data generated by a medical imaging device such as an ultrasound or echocardiogram device and processing the image data using artificial intelligence and machine learning to determine a presence of one or more congenital heart defects (CHDs) and / or other cardiovascular anomalies in the image data, to identify anatomy, detect and / or identify motion, and / or to determine key-point and / or contour detection. The image processing system may be used to detect CHDs and / or other cardiovascular anomalies in a fetus. The image data may be processed using a spatiotemporal convolutional neural network (CNN). The spatiotemporal CNN may include a spatial CNN for image recognition and a temporal CNN for processing optical flow data and / or image data. The outputs of the spatial CNN and the temporal CNN may be fused (e.g., using late fusion) and / or may be processed by a spatiotemporal CNN.

The embodiment of the application relates to the technical field of medical coating materials, and particularly relates to a method for forming an active coating on the surface of a degradable occlusion device and the degradable occlusion device, the method comprising the following steps: preparing perfluorohexane liposomes loaded with stromal cell-derived factor-1 alpha (SDF-1 alpha); preparing polylactic acid-glycolic acid copolymer@rapamycin@nitric oxide donor nanoparticles; preparing a methacrylated gelatin-tannic acid hydrogel carrier; mixing the liposomes and the nanoparticles into the hydrogel carrier; soaking the degradable occlusion device in the mixture obtained in the previous step, and performing light crosslinking treatment on the mixture, so that an active coating is formed on the surface of the degradable occlusion device. Therefore, comprehensive consideration of "endothelialization repair in the early implantation period - myocardial tissue remodeling after implantation" is realized, controllable time-sequencing repair of the degradable occlusion device on the heart defect site is ensured, and the endogenous functional repair effect of the heart of a patient is improved.

The embodiment of the invention relates to the technical field of medical coating materials, in particular to a method for forming an active coating on the surface of a degradable plugging device and the degradable plugging device, and the method comprises the following steps: preparing a perfluorohexane liposome loaded with stromal cell-derived factor-1 alpha (SDF-1 alpha); preparing nano particles of the polylactic acid-glycolic acid copolymer, the rapamycin and the nitric oxide donor; preparing a methacryloyl gelatin-tannic acid hydrogel carrier; mixing the liposome and the nanoparticles into the hydrogel carrier; and soaking the degradable plugging device in the mixture obtained in the previous step, and carrying out photo-crosslinking treatment on the mixture, so that an active coating is formed on the surface of the degradable plugging device. Therefore, comprehensive consideration of'implantation early endothelial repair-implantation later cardiac muscle tissue remodeling 'is realized, controllable sequential repair of the degradable plugging device on the heart defect part is ensured, and the endogenous function repair effect of the heart of a patient is improved.

Systems and methods are provided for aiding the detection and diagnosis of critical heart defects during fetal ultrasound examinations, in which image data (e.g., motion video clips and / or image frames) are analyzed with machine learning algorithms to identify and select image frames within the image data that correspond to standard views recommended by fetal ultrasound guidelines, and selected image frames are analyzed with machine learning algorithms to detecting and identify morphological abnormalities indicative of critical CHDs associated with the standard views. The results of the analyses are presented for review to the clinician with an overlay for the selected image frames that identifies the abnormalities with graphical or textual indicia. The overlay further may be annotated by the clinician and stored to create documentary record of the fetal ultrasound examination.

Systems and methods are provided for processing image data generated by a medical imaging device such as an ultrasound or echocardiogram device and processing the image data using artificial intelligence and machine learning to determine a presence of one or more congenital heart defects (CHDs) and / or other cardiovascular anomalies in the image data, to identify anatomy, detect and / or identify motion, and / or to determine key-point and / or contour detection. The image processing system may be used to detect CHDs and / or other cardiovascular anomalies in a fetus. The image data may be processed using a spatiotemporal convolutional neural network (CNN). The spatiotemporal CNN may include a spatial CNN for image recognition and a temporal CNN for processing optical flow data and / or image data. The outputs of the spatial CNN and the temporal CNN may be fused (e.g., using late fusion) and / or may be processed by a spatiotemporal CNN.

The heart defect plugging system comprises a conveying steel cable, a nailing device and a loading sheath, the conveying steel cable is formed by spirally surrounding a steel wire, a steel wire is further arranged in the conveying steel cable in the axial direction of the conveying steel cable, and the two ends of the steel wire extend to the two ends of the conveying steel cable respectively; the nailing device is connected with the conveying steel cable, the nailing device comprises a plurality of steel claws, one end of each steel claw is connected to the center of the nailing device, and the other end of each steel claw is bent towards the same direction; the loading sheath is hollow and used for loading and containing the conveying steel cable and the nailing device. The system is simple in structure and easy and convenient to operate, and the stapler is collected into the loading sheath, so that the stapler is conveyed to a required position. And after the nailing device grabs in place, the conveying structure is rotated to separate the first connecting joint from the second connecting joint. In addition, after the structure of the nailing device is used for grabbing, if the situation that the residual shunt volume is large occurs, the conveying structure is thinner, so that another nailing device can be arranged again.

Systems and methods are provided for assisting in the detection and diagnosis of critical cardiac defects during fetal ultrasound examinations in which image data (e.g., motion video clips and / or image frames) are analyzed with a machine learning algorithm to identify and select image frames within the image data that correspond to a standard view recommended by a fetal ultrasound guide, and analyzing the selected image frames with a machine learning algorithm to detect and identify morphological anomalies indicative of critical CHD associated with the standard view. Results of the analysis are presented to a clinician for review along with an overlay of the selected image frame that identifies the anomaly with graphical or textual markings. The overlay may further be annotated by the clinician and stored to create a file record of the fetal ultrasound examination.

This disclosure provides for processing image data generated by a medical imaging device, such as an ultrasound or echocardiography device, and processing the image data using artificial intelligence and machine learning to determine one or more congenital heart defects (CHDs) in the image data and / or the presence of other cardiovascular malformations and / or determination of key points and / or contour detection. The image processing system may be used to detect CHD and / or other cardiovascular malformations in the body of a fetus. The image data may be processed using a spatio-temporal convolutional neural network (CNN). The spatiotemporal CNNs may include a spatial CNN for image recognition and a temporal CNN for processing optical flow data based on the image data. The outputs of the spatial CNNs and the temporal CNNs may be fused (e.g., using late fusion) to generate the likelihood of CHD and / or other cardiovascular malformations.

The invention discloses an assembling system and an assembling method of a double-disc-shaped solid integrated heart occluder, the occluder is used for occluding a heart defect position, the occluder comprises a first disc part, a second disc part, an occluding part and a conveying device connecting part, and the first disc part and the second disc part are elastic parts capable of automatically restoring to original shapes. The assembling system comprises a loading sheathing canal, a guiding clamp and a grasping clamp, an input port and an output port are formed in the two ends of the loading sheathing canal, the guiding clamp stretches into the conveying channel from the output port and grasps the second disc part in the contracted state and pulls the plugging device into the loading sheathing canal, and the grasping clamp grasps the conveying device connecting part and is used for pushing the plugging device out of the output port. The assembling method is used for assembling the plugging device through the loading system, the double-disc-shaped solid integrated heart plugging device cannot be loaded through a traditional loading method, assembling is conducted through the assembling method, loading of the plugging device can be achieved, meanwhile, the plugging part can be prevented from being shielded when the first disc part and the second disc part shrink and deform, and the plugging device is stably released.