| No | Primary DI | Version or Model | Catalog Number | Device Description | Product Code | Product Code Name | Device Class | Brand Name |
|---|---|---|---|---|---|---|---|---|
| 1 | M722XD20239B200370 | 1.2.0 | ClearRead Bone Suppress on Docker Platform | LLZ | System, Image Processing, Radiological | 2 | ClearRead Bone Suppress Docker | |
| 2 | M722T18304V182920 | 3.3.3 | ClearRead CT | LLZ,OEB | System, Image Processing, Radiological,Lung Computed Tomography System, Computer System, Image Processing, Radiological,Lung Computed Tomography System, Computer-Aided Detection | 2 | ClearRead CT | |
| 3 | M722XD22145T212210 | 4.0.0 | ClearRead Compare on Docker Platform | LLZ | System, Image Processing, Radiological | 2 | ClearRead Xray Compare | |
| 4 | M722XD21224L212210 | 3.0.0 | ClearRead Confirm Docker | LLZ | System, Image Processing, Radiological | 2 | ClearRead Confirm Docker | |
| 5 | M722XD21224E212210 | 3.0.0 | ClearRead Enhance Docker | LLZ | System, Image Processing, Radiological | 2 | ClearRead Enhance Docker | |
| 6 | M722XD21224C212210 | 6.1.0 | ClearRead Detect Docker | MYN | Analyzer,Medical Image | 2 | ClearRead Detect Docker | |
| 7 | M722XD21224B212210 | 4.0.0 | ClearRead Bone Suppress Docker | LLZ | System, Image Processing, Radiological | 2 | ClearRead Bone Suppress Docker | |
| 8 | M722XD21012B203200 | 3.0.0 | ClearRead Bone Suppress on Docker Platform | LLZ | System, Image Processing, Radiological | 2 | ClearRead Bone Suppress Docker | |
| 9 | M722XD20239C200370 | 1.2.0 | ClearRead Detect on Docker Platform | MYN | Analyzer,Medical Image | 2 | ClearRead Detect Docker | |
| 10 | M722XD20104C20370 | 5.3.1 | ClearRead Detect on Docker PlatformPrimary DI number should be M722XD20104C20037 ClearRead Detect on Docker PlatformPrimary DI number should be M722XD20104C200370.Re-entered 12/30/2020. | MYN | Analyzer,Medical Image | 2 | ClearRead Detect Docker | |
| 11 | M722XD20104C200370 | 1.1.0 | ClearRead Detect on Docker PlatformPrimary DI number mistyped as M722XD20104C203 ClearRead Detect on Docker PlatformPrimary DI number mistyped as M722XD20104C20370.Originally entered on 5/19/2020. | MYN | Analyzer,Medical Image | 2 | ClearRead Detect Docker | |
| 12 | M722XD20104B20370 | 3.6.2 | ClearRead Bone Suppress on Docker Platform.Primary DI Number should be M722XD201 ClearRead Bone Suppress on Docker Platform.Primary DI Number should be M722XD20104B200370.Re-entered 12/30/2020. | LLZ | System, Image Processing, Radiological | 2 | ClearRead Bone Suppress Docker | |
| 13 | M722XD20104B200370 | 1.1.0 | ClearRead Bone Suppress on Docker Platform.Primary DI Number mistyped as M722XD2 ClearRead Bone Suppress on Docker Platform.Primary DI Number mistyped as M722XD20104B20370.Originally entered on 5/19/2020 | LLZ | System, Image Processing, Radiological | 2 | ClearRead Bone Suppress Docker | |
| 14 | M722X21224E212210 | 3.0.0 | ClearRead Enhance on Server | LLZ | System, Image Processing, Radiological | 2 | ClearRead Enhance Server | |
| 15 | M722X21165E211640 | 3.0.0 | ClearRead Enhance on Server | LLZ | System, Image Processing, Radiological | 2 | ClearRead Enhance Server | |
| 16 | M722X21165C211640 | 6.1.0 | ClearRead Detect on Server | MYN | Analyzer,Medical Image | 2 | ClearRead Detect Server | |
| 17 | M722X20320C203200 | 6.0.0 | ClearRead Xray +Detect on Connect Platform | MYN | Analyzer,Medical Image | 2 | ClearRead Xray +Detect | |
| 18 | M722R11266T00211 | 2.1 | Deltaview on RCP Platform | LLZ | System, Image Processing, Radiological | 2 | Deltaview | |
| 19 | M722R11266C00521 | 5.2.1 | OnGuard on RCP Platform | MYN | Analyzer,Medical Image | 2 | OnGuard | |
| 20 | M722XD21165C211640 | 6.1.0 | ClearRead Detect Docker | MYN | Analyzer,Medical Image | 2 | ClearRead Detect Docker | |
| 21 | M722XD21165B211640 | 4.0.0 | ClearRead Bone Suppress Docker | LLZ | System, Image Processing, Radiological | 2 | ClearRead Bone Suppress Docker | |
| 22 | M722XD21012C203200 | 3.0.0 | ClearRead Detect on Docker Platform | MYN | Analyzer,Medical Image | 2 | ClearRead Detect Docker | |
| 23 | M722X21224C212210 | 6.1.0 | ClearRead Detect on Server | MYN | Analyzer,Medical Image | 2 | ClearRead Detect Server | |
| 24 | M722XC22145B212210 | 4.0.0 | ClearRead Bone Suppress on Console Platform | LLZ | System, Image Processing, Radiological | 2 | ClearRead Xray Bone Suppress | |
| 25 | M722XC21224L212210 | 3.0.0 | ClearRead Confirm Console | LLZ | System, Image Processing, Radiological | 2 | ClearRead Confirm Console | |
| 26 | M722XC21224C212210 | 6.1.0 | ClearRead Detect Console | MYN | Analyzer,Medical Image | 2 | ClearRead Detect Console | |
| 27 | M722XC21165L211640 | 3.0.0 | ClearRead Confirm Console | LLZ | System, Image Processing, Radiological | 2 | ClearRead Confirm Console | |
| 28 | M722XC21165C211640 | 6.1.0 | ClearRead Detect Console | MYN | Analyzer,Medical Image | 2 | ClearRead Detect Console | |
| 29 | M722X22145B212210 | 4.0.0 | ClearRead Bone Suppress on Server Platform | LLZ | System, Image Processing, Radiological | 2 | ClearRead Xray Bone Suppress | |
| 30 | M722X21224B212210 | 4.0.0 | ClearRead Bone Suppress on Server | LLZ | System, Image Processing, Radiological | 2 | ClearRead Bone Suppress Server | |
| 31 | M722X21165B211640 | 4.0.0 | ClearRead Bone Suppress on Server | LLZ | System, Image Processing, Radiological | 2 | ClearRead Bone Suppress Server | |
| 32 | M722X20320T203200 | 4.0.0 | ClearRead Xray +Compare on Connect Platform | LLZ | System, Image Processing, Radiological | 2 | ClearRead Xray +Compare | |
| 33 | M722C22112V213240 | 5.5.0 | ClearRead CT Server | OEB,LLZ | Lung Computed Tomography System, Computer-Aided Detection,System, Image Processi Lung Computed Tomography System, Computer-Aided Detection,System, Image Processing, Radiological | 2 | ClearRead CT Server | |
| 34 | M722C21133V211240 | 5.0.0 | ClearRead CT Server | OEB,LLZ | Lung Computed Tomography System, Computer-Aided Detection,System, Image Processi Lung Computed Tomography System, Computer-Aided Detection,System, Image Processing, Radiological | 2 | ClearRead CT Server | |
| 35 | M722C14295L142720 | 2.0 | ClearRead +Confirm on Connect Platform | LLZ | System, Image Processing, Radiological | 2 | Clear Read +Confirm | |
| 36 | M722XD22145B212210 | 4.0.0 | ClearRead Bone Suppress on Docker Platform | LLZ | System, Image Processing, Radiological | 2 | ClearRead Xray Bone Suppress | |
| 37 | M722XD21165L211640 | 3.0.0 | ClearRead Confirm Docker | LLZ | System, Image Processing, Radiological | 2 | ClearRead Confirm Docker | |
| 38 | M722Z19154V191210 | 1.0.2 | ClearRead CT Console | OEB,LLZ | Lung Computed Tomography System, Computer-Aided Detection,System, Image Processi Lung Computed Tomography System, Computer-Aided Detection,System, Image Processing, Radiological | 2 | ClearRead CT Console | |
| 39 | M722XD20239L200370 | 1.2.0 | ClearRead Confirm on Docker Platform | LLZ | System, Image Processing, Radiological | 2 | ClearRead Confirm Docker | |
| 40 | M722XD20104L20370 | 2.2.1 | ClearRead Confirm on Docker PlatformPrimary DI Number should be M722XD20104L2003 ClearRead Confirm on Docker PlatformPrimary DI Number should be M722XD20104L200370.Re-entered on 12/30/2020. | LLZ | System, Image Processing, Radiological | 2 | ClearRead Confirm Docker | |
| 41 | M722XD20104L200370 | 1.1.0 | ClearRead Confirm on Docker PlatformOriginally mistyped as M722XD20104L20370.Ori ClearRead Confirm on Docker PlatformOriginally mistyped as M722XD20104L20370.Originally entered on 5/19/2020. | LLZ | System, Image Processing, Radiological | 2 | ClearRead Confirm Docker | |
| 42 | M722X21224T212210 | 4.0.0 | ClearRead Compare on Server | LLZ | System, Image Processing, Radiological | 2 | ClearRead Compare Server | |
| 43 | M722X21165T211640 | 4.0.0 | ClearRead Compare on Server | LLZ | System, Image Processing, Radiological | 2 | ClearRead Compare Server | |
| 44 | M722R14273T142720 | 3.1 | ClearRead +Compare on RCP Platform | LLZ | System, Image Processing, Radiological | 2 | ClearRead +Compare | |
| 45 | M722R14164T140290 | 3.1 | ClearRead +Compare on RCP Platform | LLZ | System, Image Processing, Radiological | 2 | ClearRead +Compare | |
| 46 | M722R14042T140290 | 3.1 | ClearRead +Compare on RCP Platform | LLZ | System, Image Processing, Radiological | 2 | ClearRead +Compare | |
| 47 | M722CC22110V213240 | 5.5.0 | ClearRead CT Console | OEB,LLZ | Lung Computed Tomography System, Computer-Aided Detection,System, Image Processi Lung Computed Tomography System, Computer-Aided Detection,System, Image Processing, Radiological | 2 | ClearRead CT Console | |
| 48 | M722CC21343V213240 | 5.2.0 | ClearRead CT Console | OEB,LLZ | Lung Computed Tomography System, Computer-Aided Detection,System, Image Processi Lung Computed Tomography System, Computer-Aided Detection,System, Image Processing, Radiological | 2 | ClearRead CT Console | |
| 49 | M722CC21133V211240 | 5.0.0 | ClearRead CT Console | OEB,LLZ | Lung Computed Tomography System, Computer-Aided Detection,System, Image Processi Lung Computed Tomography System, Computer-Aided Detection,System, Image Processing, Radiological | 2 | ClearRead CT Console | |
| 50 | M722CC20176V201320 | 1.2.0 | ClearRead CT Console | OEB,LLZ | Lung Computed Tomography System, Computer-Aided Detection,System, Image Processi Lung Computed Tomography System, Computer-Aided Detection,System, Image Processing, Radiological | 2 | ClearRead CT Console |
| No | Primary DI | Version or Model | Catalog Number | Device Description | Brand Name | Organization Name |
|---|---|---|---|---|---|---|
| 1 | 04540217011469 | 502-24400-12 | DAR-8000i | SHIMADZU CORPORATION | ||
| 2 | 04540217011452 | 502-24400-11 | DAR-8000i | SHIMADZU CORPORATION | ||
| 3 | 04260648620022 | 2021 (Build 1920) | Ashvins | MEDICALCOMMUNICATIONS GMBH | ||
| 4 | 04260648620015 | 2.5 | Ashvins variant HEYEX 2 / HEYEX PACS | MEDICALCOMMUNICATIONS GMBH | ||
| 5 | 04260648620008 | Ashvins 2020 | Ashvins variant Diagnostic Workstation, Ashvins variant Image & Web Management | MEDICALCOMMUNICATIONS GMBH | ||
| 6 | 04260632470039 | 5.3 | Version 5.3 includes all minor versions and patch levels of 5.3 | JiveX | VISUS HEALTH IT GMBH | |
| 7 | 04260632470022 | 5.2 | Version 5.2 includes all minor versions and patch levels of 5.2 | JiveX | VISUS HEALTH IT GMBH | |
| 8 | 04260632470015 | 5.1 | Version 5.1 includes all minor versions and patch levels of 5.1 | JiveX | VISUS HEALTH IT GMBH | |
| 9 | 04260521365019 | 3.0 Galway | exoplan is a medical software, intended to support the pre-operative planning of exoplan is a medical software, intended to support the pre-operative planning of dental implants using the visualization of the implant placement within images of the patient’s anatomy. The process is based on CT/CBCT data sets originating from other medical devices, and can be supported by optical scan(s) of the patient’s anatomy as well as a virtual prosthetic proposal. exoplan allows the design of surgical guides to support the placement of endosseous dental implants in guided surgery. The design of surgical guides is based on 3D surface data representing the preoperative situation and approved implant positions. Alternatively, instead of optical surface data a second CBCT/CT dataset can be used. The software exports the planning and design results as geometrical data and a digital 3D model of the surgical guide to support the manufacture of a separate physical product.exoplan does not extend or change indications of dental implants. Usage of a surgical guide designed with the software does not change the necessary due diligence required compared to conventional (non-guided) surgery.The software is intended to be used only by dental professionals with sufficient medical training in dental implantology and surgical dentistry in office environments suitable for reading diagnostic dental DICOM data sets. exoplan shall not be used for any purpose other than planning dental implant placement or design of surgical guides. | exoplan | EXOCAD GMBH | |
| 10 | 04260521365002 | 2.3 Matera | exoplan is a medical software, intended to support the pre-operative planning of exoplan is a medical software, intended to support the pre-operative planning of dental implants using the visualization of the implant placement within images of the patient’s anatomy. The process is based on CT/CBCT data sets originating from other medical devices, and can be supported by optical scan(s) of the patient’s anatomy as well as a virtual prosthetic proposal.exoplan allows the design of surgical guides to support the placement of endosseous dental implants in guided surgery. The design of surgical guides is based on 3D surface data representing the preoperative situation and approved implant positions.The software exports the planning and design results as geometrical data and a digital 3D model of the surgical guide to support the manufacture of a separate physical product.exoplan does not extend or change indications of dental implants. Usage of a surgical guide designed with the software does not change the necessary due diligence required compared to conventional (non-guided) surgery.The software is intended to be used only by dental professionals with sufficient medical training in dental implantology and surgical dentistry in office environments suitable for reading diagnostic dental DICOM data sets. exoplan shall not be used for any purpose other than planning dental implant placement or design of surgical guides. | exoplan | EXOCAD GMBH | |
| 11 | 04260495880389 | 3.8.0 | The product mint Lesion helps qualified radiologists with the image-based diagno The product mint Lesion helps qualified radiologists with the image-based diagnosis and treatment response assessment of oncological diseases. Fields of application are radiological diagnosis and follow-up examinations in oncology, as well as clinical or pharmaceutical drug trials across a defined group of patients.mint Lesion implements various radiological guidelines and response evaluation criteria, such as RECIST (Response Evaluation Criteria In Solid Tumors). This also includes the assessment of the stage of oncological disease (staging) and the objective response to therapy (e.g. timepoint response / overall response). The timepoint response is an empirical measure to evaluate therapy success according to the response criteria in use. It is mainly used to assess patient cohorts in the course of clinical trials of novel therapy agents. The timepoint response may differ from a radiological assessment of response to therapy and must not be used as a surrogate.mint Lesion allows for the documentation of size and assessment of changes in size of solid tumors described by the respective criteria that are monitored by means of radiological imaging (computed tomography (CT), magnetic resonance imaging (MRI), nuclear medicine (PET, NM), digital radiography (XR, CR)).mint Lesion follows the typical workflow of follow-up examinations, from assessment to reporting, and enables the integration of a clinical-radiological software environment (PACS, Picture Archiving and Communication System). Assessment results can be exported into different electronical formats and processed further by other applications. | mintLesion™ | MINT MEDICAL GMBH | |
| 12 | 04260495880372 | 3.7.0 | The product mint Lesion helps qualified radiologists with the image-based diagno The product mint Lesion helps qualified radiologists with the image-based diagnosis and treatment response assessment of oncological diseases. Fields of application are radiological diagnosis and follow-up examinations in oncology, as well as clinical or pharmaceutical drug trials across a defined group of patients. mint Lesion implements various radiological guidelines and response evaluation criteria, such as RECIST (Response Evaluation Criteria In Solid Tumors). This also includes the assessment of the stage of oncological disease (staging) and the objective response to therapy (e.g. timepoint response / overall response). The timepoint response is an empirical measure to evaluate therapy success according to the response criteria in use. It is mainly used to assess patient cohorts in the course of clinical trials of novel therapy agents. The timepoint response may differ from a radiological assessment of response to therapy and must not be used as a surrogate. mint Lesion allows for the documentation of size and assessment of changes in size of solid tumors described by the respective criteria that are monitored by means of radiological imaging (computed tomography (CT), magnetic resonance imaging (MRI), nuclear medicine (PET, NM), digital radiography (XR, CR)). mint Lesion follows the typical workflow of follow-up examinations, from assessment to reporting, and enables the integration of a clinical-radiological software environment (PACS, Picture Archiving and Communication System). Assessment results can be exported into different electronical formats and processed further by other applications. | mintLesion® | MINT MEDICAL GMBH | |
| 13 | 04260495880365 | 3.6.0 | The product mint Lesion helps qualified radiologists with the image-based diagno The product mint Lesion helps qualified radiologists with the image-based diagnosis and treatment response assessment of oncological diseases. Fields of application are radiological diagnosis and follow-up examinations in oncology, as well as clinical or pharmaceutical drug trials across a defined group of patients. mint Lesion implements various radiological guidelines and response evaluation criteria, such as RECIST (Response Evaluation Criteria In Solid Tumors). This also includes the assessment of the stage of oncological disease (staging) and the objective response to therapy (e.g. timepoint response / overall response). The timepoint response is an empirical measure to evaluate therapy success according to the response criteria in use. It is mainly used to assess patient cohorts in the course of clinical trials of novel therapy agents. The timepoint response may differ from a radiological assessment of response to therapy and must not be used as a surrogate. mint Lesion allows for the documentation of size and assessment of changes in size of solid tumors described by the respective criteria that are monitored by means of radiological imaging (computed tomography (CT), magnetic resonance imaging (MRI), nuclear medicine (PET, NM), digital radiography (XR, CR)). mint Lesion follows the typical workflow of follow-up examinations, from assessment to reporting, and enables the integration of a clinical-radiological software environment (PACS, Picture Archiving and Communication System). Assessment results can be exported into different electronical formats and processed further by other applications. | mintLesion® | MINT MEDICAL GMBH | |
| 14 | 04260495880358 | 3.5.0 | The product mint Lesion helps qualified radiologists with the image-based diagno The product mint Lesion helps qualified radiologists with the image-based diagnosis and treatment response assessment of oncological diseases. Fields of application are radiological diagnosis and follow-up examinations in oncology, as well as clinical or pharmaceutical drug trials across a defined group of patients. mint Lesion implements various radiological guidelines and response evaluation criteria, such as RECIST (Response Evaluation Criteria In Solid Tumors). This also includes the assessment of the stage of oncological disease (staging) and the objective response to therapy (e.g. timepoint response / overall response). The timepoint response is an empirical measure to evaluate therapy success according to the response criteria in use. It is mainly used to assess patient cohorts in the course of clinical trials of novel therapy agents. The timepoint response may differ from a radiological assessment of response to therapy and must not be used as a surrogate. mint Lesion allows for the documentation of size and assessment of changes in size of solid tumors described by the respective criteria that are monitored by means of radiological imaging (computed tomography (CT), magnetic resonance imaging (MRI), nuclear medicine (PET, NM), digital radiography (XR, CR)). mint Lesion follows the typical workflow of follow-up examinations, from assessment to reporting, and enables the integration of a clinical-radiological software environment (PACS, Picture Archiving and Communication System). Assessment results can be exported into different electronical formats and processed further by other applications. | mintLesion® | MINT MEDICAL GMBH | |
| 15 | 04260495880341 | 3.4.0 | The product mint Lesion helps qualified radiologists with the image-based diagno The product mint Lesion helps qualified radiologists with the image-based diagnosis and treatment response assessment of oncological diseases. Fields of application are radiological diagnosis and follow-up examinations in oncology, as well as clinical or pharmaceutical drug trials across a defined group of patients. mint Lesion implements various radiological guidelines and response evaluation criteria, such as RECIST (Response Evaluation Criteria In Solid Tumors). This also includes the assessment of the stage of oncological disease (staging) and the objective response to therapy (e.g. timepoint response / overall response). The timepoint response is an empirical measure to evaluate therapy success according to the response criteria in use. It is mainly used to assess patient cohorts in the course of clinical trials of novel therapy agents. The timepoint response may differ from a radiological assessment of response to therapy and must not be used as a surrogate. mint Lesion allows for the documentation of size and assessment of changes in size of solid tumors described by the respective criteria that are monitored by means of radiological imaging (computed tomography (CT), magnetic resonance imaging (MRI), nuclear medicine (PET, NM), digital radiography (XR, CR)). mint Lesion follows the typical workflow of follow-up examinations, from assessment to reporting, and enables the integration of a clinical-radiological software environment (PACS, Picture Archiving and Communication System). Assessment results can be exported into different electronical formats and processed further by other applications. | mintLesion® | MINT MEDICAL GMBH | |
| 16 | 04260483290183 | 2.4 | 2.4.0.229939, Release date: 2021-09-032.4.1.252491, Release date: 2022-03-25 | DynaCAD Lung | MEVIS MEDICAL SOLUTIONS AG | |
| 17 | 04260483290183 | 2.4 | 2.4.0.229939, Release date: 2021-09-032.4.1.252491, Release date: 2022-03-25 | DynaCAD Lung | MEVIS MEDICAL SOLUTIONS AG | |
| 18 | 04260483290176 | 1.7 | 1.7.0.228241, Release date: 2021-03-181.7.1.252491, Release date: 2022-03-25 | Veolity | MEVIS MEDICAL SOLUTIONS AG | |
| 19 | 04260483290176 | 1.7 | 1.7.0.228241, Release date: 2021-03-181.7.1.252491, Release date: 2022-03-25 | Veolity | MEVIS MEDICAL SOLUTIONS AG | |
| 20 | 04260483290169 | 3.2 | DynaSuite Neuro | MEVIS MEDICAL SOLUTIONS AG | ||
| 21 | 04260483290121 | 2.3 | 2.3.0.224889, Release date: 2017-12-132.3.1.239548, Release date: 2019-10-01 | DynaCAD Lung Server | MEVIS MEDICAL SOLUTIONS AG | |
| 22 | 04260483290114 | 2.3 | DynaCAD Lung | MEVIS MEDICAL SOLUTIONS AG | ||
| 23 | 04260483290107 | 1.4 | Veolity LungCAD | MEVIS MEDICAL SOLUTIONS AG | ||
| 24 | 04260483290091 | 1.4 | Veolity | MEVIS MEDICAL SOLUTIONS AG | ||
| 25 | 04260483290084 | 5.8 | 5.8.0.224889, Release date: 2017-12-135.8.1.246755, Release date: 2020-12-01 | Visia LungCAD | MEVIS MEDICAL SOLUTIONS AG | |
| 26 | 04260483290077 | 3.1 | DynaSuite Neuro | MEVIS MEDICAL SOLUTIONS AG | ||
| 27 | 04260483290060 | 2.2 | DynaCAD Lung Server | MEVIS MEDICAL SOLUTIONS AG | ||
| 28 | 04260483290053 | 2.2 | DynaCAD Lung | MEVIS MEDICAL SOLUTIONS AG | ||
| 29 | 04260483290046 | 1.3 | Veolity LungCAD | MEVIS MEDICAL SOLUTIONS AG | ||
| 30 | 04260483290039 | 1.3 | Veolity | MEVIS MEDICAL SOLUTIONS AG | ||
| 31 | 04260483290015 | 5.7 | Visia LungCAD | MEVIS MEDICAL SOLUTIONS AG | ||
| 32 | 04260476810015 | 3 | Software for biopsy needle guide planning and tracking. | BioJet Target | MEDICAL TARGETING TECHNOLOGIES GMBH | |
| 33 | 04260476510038 | v1 (US) | aycan mobile | AYCAN DIGITALSYSTEME GMBH | ||
| 34 | 04260476510021 | v3 | aycan workstation | AYCAN DIGITALSYSTEME GMBH | ||
| 35 | 04260456230147 | 4.80.0 | CHILI PACS is a picture archiving and communication system with image processing CHILI PACS is a picture archiving and communication system with image processing functions to support physicians in diagnosis and treatment planning. | CHILI PACS | CHILI GMBH | |
| 36 | 04260456230130 | 4.78.0 | CHILI PACS | CHILI GMBH | ||
| 37 | 04260456230123 | 4.76.0 | CHILI PACS | CHILI PACS | CHILI GMBH | |
| 38 | 04260456230116 | 4.74.0 | CHILI PACS | CHILI GMBH | ||
| 39 | 04260456230109 | 4.72.0 | CHILI PACS | CHILI GMBH | ||
| 40 | 04260456230093 | 4.70.0 | CHILI PACS | CHILI PACS | CHILI GMBH | |
| 41 | 04260456230086 | 4.68.0 | CHILI PACS 4.68.0 | CHILI PACS | CHILI GMBH | |
| 42 | 04260456230079 | 4.66.0 | CHILI PACS 4.66.0 | CHILI PACS | CHILI GMBH | |
| 43 | 04260456230062 | 4.64.0 | CHILI PACS 4.64.0 | CHILI PACS | CHILI GMBH | |
| 44 | 04260456230055 | 4.62.0 | CHILI PACS 4.62.0 | CHILI PACS | CHILI GMBH | |
| 45 | 04260456230048 | 4.60 | CHILI GmbH | CHILI GMBH | ||
| 46 | 04260456230031 | 4.58 | CHILI PACS 4.58 | CHILI PACS | CHILI GMBH | |
| 47 | 04260456230024 | 4.56 | CHILI PACS 4.56 | CHILI PACS | CHILI GMBH | |
| 48 | 04260456230017 | 4.54 | CHILI PACS 4.54 | CHILI PACS | CHILI GMBH | |
| 49 | 04260456230000 | 4.52 | CHILI PACS 4.52 | CHILI PACS | CHILI GMBH | |
| 50 | G090AIM11 | 1 | AIM1 | AI Metrics is a thin client software application used with general purpose compu AI Metrics is a thin client software application used with general purpose computing hardware for the display and visualization of medical image data, supporting images and anatomical datasets, such as CT and MR. AI Metrics is designed as a workflow automation application with analytical tools to help the user assess, categorize and document the extent of a disease and/or tumor response to therapy in accordance with user selected standards (e.g. RECIST 1.1) and assess changes in imaging findings over multiple time-points. AI Metrics supports the interpretation and evaluation of examinations and follow up documentation of findings within healthcare institutions, for example, in Radiology, Oncology, and other Medical Imaging environments. AI Metrics functionality provides for communication, storage, processing, rendering, and display of DICOM compliant image data derived from various sources, navigation through images, selection of regions of interest, generation of information from those regions, evaluation in accordance with user selected standards, and generation of a structured report. The user controls these functions with a system of interactive menus and semi-automated or manual workflow automation tools, including: • Manual annotation tools for users to select regions of interest (ROIs), • Semi-automatic lesion segmentation suggestions for user-selected ROIs, • Automatic measurement and display of long and short axis of segmented lesions, • Automatic tabulation and summation of measurements,• Semi-automatic lesion labelling suggestions for anatomical location (organ, body region, and laterality), • Automatic calculation of quantitative and qualitative metrics using annotation data in accordance with the selected criteria, and • Automatic generation of a structured report that includes the annotation data and calculated quantitative and qualitative metrics presented in a graph, table, key images, and structured text report. | AI Metrics | AI METRICS, LLC |