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medical research (251 results) showing 1 - 20
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ByADEO Imaging | Ver 1.12.6
Starting from $0.06/hr or from $386.00/yr (30% savings) for software + AWS usage fees Orthanc® is a lightweight DICOM server with web interface for healthcare and medical research. It is designed to improve the DICOM flows in hospitals and to support research about the automated analysis of medical images. Orthanc® lets its users focus on the content of the DICOM files, hiding the... | |
ByOpenEMR Foundation | Ver 7.0.2 OpenEMR Express is a single-instance OpenEMR cloud service designed for long-term, low-maintenance installations. OpenEMR Express features automated daily backups of patient data, portable cross-instance recovery process, SSL encryption and more. OpenEMR is an open source electronic health records... | |
The skyPurple Cloud AI Solution Discovery is a complimentary one-hour workshop designed to help you identify how the power of AI can aid your medical imaging analysis challenges. During this session, our team of experts will work closely with you to: Understand Your Needs: We'll start by discussin... | |
ByADEO Imaging | Ver 7.0.2
Starting from $0.04/hr or from $257.00/yr (30% savings) for software + AWS usage fees OpenEMR is one of the most popular medical practice management solution. This is a powerful and flexible Electronic Medical Records (EMR) system designed to meet the needs of physicians, clinics, and hospitals. With OpenEMR, you can easily manage patient records, document medical history, schedule... | |
Collective Minds Research for Pharma and CROs: Elevate your clinical trials with Collective Minds Research. Conduct secure imaging-based trials in a compliant, cloud-hosted environment. Benefit from audit logs, role management, and tailored permissions. Design trials with customizable pipelines, man... | |
Foster innovation at warp speed inProcess Research is a SAAS platform for turning ideas into results. Stakeholders in research are all invited onto the platform to foster collaboration. Agile adaptation of modern components overcomes barriers to innovation. Research-on-demand automation throughout t... | |
ByDedalus T4C is a secure cloud native application deployed as containers that scales horizontally using AWS EKS. Native connector to the EMR to generate FHIR/Observational Medical Outcomes Partnership (OMOP) compliant research data Increase in research & recruitment funding & grants through the research netw... | |
ByJohn Snow Labs | Ver 5.2.8
This model is designed to identify and map diseases and syndromes mentioned in text to their respective Concept Unique Identifiers (CUI) in the Unified Medical Language System (UMLS). This model simplifies the process of medical entity coding, playing a crucial role in healthcare data... | |
ByJohn Snow Labs | Ver 5.5.0
This advanced pipeline extracts clinical entities from clinical texts and utilizes the sbiobert_base_cased_mli Sentence Bert Embeddings to map these entities to their corresponding Medical Subject Heading (MeSH) codes. | |
ByElm Computing | Ver 4.4.2.0
Starting from $0.10/hr or from $700.00/yr (20% savings) for software + AWS usage fees This RShiny Server AMI is a pre-built image of RShiny Server that can be quickly launched and comes with the latest version of R and RShiny Server, along with a selection of popular R packages covering various domains: data science machine learning econometrics teaching statistics time series analy... | |
ByLynx.MD The Lynx cloud-based platform helps data owners in heavily regulated industries maximize the value of their data by securely sharing it with startups and companies, drastically shortening data access times and reducing time-to-market, while also driving evidence-based decisions that improve... | |
ByJohn Snow Labs | Ver 5.5.2
This model extracts biological and genetics entities from medical texts to enhance therapeutic research, early diagnosis, and personalized care, driving forward data-driven medical advancements. The model was tailored to identify and extract various biological entities such as genes, anatomical syst... | |
ByJohn Snow Labs | Ver 1.0
The 14B parameter model represents the pinnacle of our medical language modeling capabilities, offering unparalleled depth in medical knowledge processing and clinical reasoning. This powerful model excels in handling the most complex medical cases, rare conditions, and sophisticated clinical... | |
ByElm Computing | Ver 4.4.2.1
Starting from $0.10 to $0.10/hr for software + AWS usage fees RStudio is a powerful integrated development environment (IDE) for R, a programming language widely used in statistical computing, data analysis, and visualizations. This AMI includes RStudio Server along with a collection of popular R packages spanning multiple domains: data science machine learn... | |
ByJohn Snow Labs | Ver 5.5.4
The Clinical De-Identification model is designed to recognize and anonymize PHI in English-language clinical notes. It employs state-of-the-art natural language processing techniques to detect sensitive information such as patient names, addresses, medical record numbers, and other identifiers.... | |
ByJohn Snow Labs | Ver 5.5.4
Clinical entity detection, assertion status assignment, and relation extraction are essential in medical text analysis. These techniques enable healthcare professionals, researchers, and medical NLP practitioners to derive valuable insights from clinical literature, electronic health records, and... | |
ByMphasis | Ver 2.1 In medical domain, its often challenging to collect large and diverse dataset due to privacy concerns and limited access to patient data. Real medical images may contain sensitive patient information, and sharing or using such data for research can raise privacy and ethical concerns. Synthetic... | |
ByProximie Proximie is designed for optimal connectivity in any operating room, seamlessly integrating with all OR setups and legacy installs. It can stream video and integrate data from any internet-connected device within minutes. For setups requiring hardware, Proximie offers wireless, flexible,... | |
ByJohn Snow Labs | Ver 5.4.1
The Clinical De-Identification model is designed to recognize and anonymize PHI in German-language clinical notes. It employs state-of-the-art natural language processing techniques to detect sensitive information such as patient names, addresses, medical record numbers, and other identifiers. Once... | |
ByJohn Snow Labs | Ver 5.4.1
The Clinical De-Identification model is designed to recognize and anonymize PHI in Portuguese-language clinical notes. It employs state-of-the-art natural language processing techniques to detect sensitive information such as patient names, addresses, medical record numbers, and other identifiers.... |