Our Portfolio

WEB
Predict COVID-19 from a Chest X-Ray
Our MWebWare has developed and participated in COVID-19 Risk Score from a Chest X-ray by Upload a DICOM file of an AP frontal chest x-ray.
An image
IOS
ANDROID
Mobile Apps
MWebWare mobile developers use well-proven agile practices, design thinking and client-focused approach in custom mobile apps development.
An image
WEB
Radiology Case Management System
RCMS is a customizable content management system (CMS) that has been well designed to fit the needs of Radiology.

RCMS facilitates users, institutions, and enterprises to collect, author, assess, and distribute radiology content in various formats that uniquely facilitate next-generation radiology learning. It is an innovative assessment tool that helps educators to gather and organize timely information and it is Easy To Use, With Personalized Support. All the radiologists, oncologists, nuclear medicine physicians & medical physicists are trying to develop Radiology to serve patients and society by empowering members to advance the practice, science, and professions of radiological care. Designing different structures i.e DEW’s to store all patient cases under its respective courses and categories used to gain the knowledge in their streams, Users can create a learning activity by comprising the cases which have been posted by the doctors from multiple sources.

An image

RCMS facilitates users, institutions, and enterprises to collect, author, assess, and distribute radiology content in various formats that uniquely facilitate next-generation radiology learning. It is an innovative assessment tool that helps educators to gather and organize timely information and it is Easy To Use, With Personalized Support. All the radiologists, oncologists, nuclear medicine physicians & medical physicists are trying to develop Radiology to serve patients and society by empowering members to advance the practice, science, and professions of radiological care. Designing different structures i.e DEW’s to store all patient cases under its respective courses and categories used to gain the knowledge in their streams, Users can create a learning activity by comprising the cases which have been posted by the doctors from multiple sources.

WEB
Simulation
Simulation (SIM) self-assessment tool allows users to practice a scenario with typical and challenging cases.

SIM performs as a system that typically provides dual monitoring presentations such as DICOMs and case contents to identify gaps to round out knowledge. SIM manages a bundle of cases and Natural Language Process(NLP) questions that provide a set of rules under different courses/categories. Natural Language Process (NLP) designed to completely manage the terms and matching expressions of the case where the radiologists should match with the terms for the correct answer. Set of DICOM images with modern educational theory will let the radiologists to self-paced acquiring knowledge and can gain CME credits. Radiologists can monitor their progress and directly access SIMs by launching into the Simulation Portal.

An image

SIM performs as a system that typically provides dual monitoring presentations such as DICOMs and case contents to identify gaps to round out knowledge. SIM manages a bundle of cases and Natural Language Process(NLP) questions that provide a set of rules under different courses/categories. Natural Language Process (NLP) designed to completely manage the terms and matching expressions of the case where the radiologists should match with the terms for the correct answer. Sets of DICOM images with modern educational theory will let the radiologists to self-paced acquiring knowledge and can gain CME credits. Radiologists can monitor their progress and directly access SIMs by launching into the Simulation Portal.

WEB
Radiology Case Parser - Google Extension
From browser push your favourite radiology cases from Web to CMS.

​With a single click, the user can push the radiology case data to the content management system. The extension takes the HTML page and radiology case parsing scheme returns data defined by the parsing scheme, It fills the radiology case data (History, Findings, Diagnosis .,) with images in respective fields. Users can choose the necessary content and push it to the Radiology Content Management System.

An image

​With a single click, the user can push the radiology case data to the content management system. The extension takes the HTML page and radiology case parsing scheme returns data defined by the parsing scheme, It fills the radiology case data (History, Findings, Diagnosis .,) with images in respective fields. Users can choose the necessary content and push it to the Radiology Content Management System.

WEB
PPT Parser
PowerPoint parsing allows users to very quickly create cases (Learning content) into the Content Management System(CMS).

PowerPoint parsing has a variety of integration strategies for embedding content from the PPTs consisting of several cases that have radiology contents (History, Diagnosis, Finding, Images etc.,) to the PPT parser. Using that embedding content, cases will be created automatically in CMS. Cases can be created in two ways either by Create a case without review or modify the content manually and then create. PowerPoint parsing leverage is to get a Parse report that has the count of ‘Total number of cases’, ‘successfully parsed’ cases and ‘failed cases’ with slide numbers. Parsing can be done in two ways either by Regular(Each case in one slide) or Advanced(Each Case in one or more slides).

An image

PowerPoint parsing has a variety of integration strategies for embedding content from the PPTs consisting of several cases that have radiology contents (History, Diagnosis, Finding, Images etc.,) to the PPT parser. Using that embedding content, cases will be created automatically in CMS. Cases can be created in two ways either by Create a case without review or modify the content manually and then create. PowerPoint parsing leverage is to get a Parse report that has the count of ‘Total number of cases’, ‘successfully parsed’ cases and ‘failed cases’ with slide numbers. Parsing can be done in two ways either by Regular(Each case in one slide) or Advanced(Each Case in one or more slides).

WEB
Radiology Decision Support System
Authoring, Review and validation of Evidence based rules for Radiology Decision Support System.

Rules data is organized as topics, variants, procedures, scenarios with attached metadata. All data changes are tracked and versioned as releases. Panel members are registered for each panel, subgroups. Activated and deactivated, participation tracked. Review process includes panel members assignment for each topic, submission by each panel member, submission by lead author commenting by others, multiple rounds of review, voting and finalizing topic.

An image

Rules data is organized as topics, variants, procedures, scenarios with attached metadata. All data changes are tracked and versioned as releases. Panel members are registered for each panel, subgroups. Activated and deactivated, participation tracked. Review process includes panel members assignment for each topic, submission by each panel member, submission by lead author commenting by others, multiple rounds of review, voting and finalizing topic.

WEB
Data Archive & Research Toolkit
Primary purpose of DART system is to build a unique multimodality data and image repository to promote scientific discovery and research.

This system has user management to control access to the archived data. This has extensive data search filters including facility, patient demographics, DICOM metadata. It uses specialized search optimization system for searching and bringing back large amounts of data in a relatively small amount of time. Loading and indexing of data on periodic basis. Users can create datasets needed for pipelines and ML algorithms / programs. This is integrated with Linux systems with GPU to run ML algorithms requested by users with their datasets.

An image

This system has user management to control access to the archived data. This has extensive data search filters including facility, patient demographics, DICOM metadata. It uses specialized search optimization system for searching and bringing back large amounts of data in a relatively small amount of time. Loading and indexing of data on periodic basis. Users can create datasets needed for pipelines and ML algorithms / programs. This is integrated with Linux systems with GPU to run ML algorithms requested by users with their datasets.

WEB
Merit-Based Incentive Payment System
Merit-Based Incentive Payment System (MIPS) is an incentive payment system that's integrated into QCDR.

MIPS automates data collection Fourteen QCDR measures spanning across two NRDR data registries including MIPS Specific measures. MIPS streamlines three historical Medicare programs — the Physician Quality Reporting System (PQRS), the Value-based Payment Modifier (VM) Program and the Medicare Electronic Health Record (EHR) Incentive Program (Meaningful Use) — into a single payment program.

An image

MIPS automates data collection Fourteen QCDR measures spanning across two NRDR data registries including MIPS Specific measures. MIPS streamlines three historical Medicare programs — the Physician Quality Reporting System (PQRS), the Value-based Payment Modifier (VM) Program and the Medicare Electronic Health Record (EHR) Incentive Program (Meaningful Use) — into a single payment program.

WEB
Journal Advisor
RO Journal Advisor provides access to compelling radiation oncology and artificial intelligence research and expert interpretation by their commentaries.

Features include creation of Monthly Editor Choice by editors and reviewed by Chief Editor, publish monthly editor choice to all the registered users through email., manage seminal citations. manage Editorial board for Radiation Oncology & AI specialties, self-registration by users. "My Library" feature for all registered users to manage library of citations. Analytics on registrations and user experience data. Citations are added to the system with the help of National Library of Medicine (NLM).

An image

Features include creation of Monthly Editor Choice by editors and reviewed by Chief Editor, publish monthly editor choice to all the registered users through email., manage seminal citations. manage Editorial board for Radiation Oncology & AI specialties, self-registration by users. "My Library" feature for all registered users to manage library of citations. Analytics on registrations and user experience data. Citations are added to the system with the help of National Library of Medicine (NLM).

WEB
Radiation Oncology Accreditation
The Radiation Oncology Accreditation is an online application workflow process that assists clinics in obtaining Accreditation and renewal of Accreditations.

This system has a registration feature with all applicable questionnaire templates for clinics proving RO services. Workflow includes assignment of panel members, site visit, and peer review of metrics. This has an offline feature where panel members can save the review findings offline. This is useful as some radiology dark rooms are in the basements where internet connectivity is an issue. Workflow also includes renewal reminder emails and revoke accreditation. This has a mock accreditation feature where practices can go through the process not resulting in accreditation certification.

An image

This system has a registration feature with all applicable questionnaire templates for clinics proving RO services. Workflow includes assignment of panel members, site visit, and peer review of metrics. This has an offline feature where panel members can save the review findings offline. This is useful as some radiology dark rooms are in the basements where internet connectivity is an issue. Workflow also includes renewal reminder emails and revoke accreditation. This has a mock accreditation feature where practices can go through the process not resulting in accreditation certification.

WEB
Accreditation System
The online accreditation system is a comprehensive database for all accreditation needs.

Accreditation system is a web based application which allows facility users to apply for accreditation for their respective facilities. Agile model is introduced into system. Modalities like MAP, NMAP, UAP, etc., will be available in the system. Various new pages, dictionaries are added to Accreditation system for the newly added modalities.

An image

Accreditation system is a web based application which allows facility users to apply for accreditation for their respective facilities. Agile model is introduced into system. Modalities like MAP, NMAP, UAP, etc., will be available in the system. Various new pages, dictionaries are added to Accreditation system for the newly added modalities.

CLOUD
Azure Projects
Our MWebWare team of Azure experts provides a range of service solutions to meet your challenging needs.

MWebWare offers multiple options for supporting or managing organizations’ Azure infrastructure. Services include a planning assessment, cost comparison, cloud adoption, and various options for organizations pursuing hybrid cloud, a data center lift and shift, and cloud backup and disaster recovery in the Azure cloud.

An image

MWebWare offers multiple options for supporting or managing organizations’ Azure infrastructure. Services include a planning assessment, cost comparison, cloud adoption, and various options for organizations pursuing hybrid cloud, a data center lift and shift, and cloud backup and disaster recovery in the Azure cloud.

CLOUD
Alexa Skills Projects
Our MWebWare team build exciting projects with Amazon Alexa and integrate it with internet of things

Alexa Skills Projects starts with a basic introduction to Amazon Alexa and Echo. You will then deep dive into Alexa Programming concepts such as Intents, Slots, Lambdas and maintaining your skill's state using DynamoDB. You will get a clear understanding of how some of the most popular Alexa Skills work, and gain experience of working with real-world Amazon Echo applications.

An image

Alexa Skills Projects starts with a basic introduction to Amazon Alexa and Echo. You will then deep dive into Alexa Programming concepts such as Intents, Slots, Lambdas and maintaining your skill's state using DynamoDB. You will get a clear understanding of how some of the most popular Alexa Skills work, and gain experience of working with real-world Amazon Echo applications.

CLOUD
AWS Projects
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform.

Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster.

An image

Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster.

CLOUD
Google Cloud Projects
Google Cloud project consists of a set of users; a set of APIs; and billing, authentication, and monitoring settings for those APIs.

Google Cloud projects form the basis for creating, enabling, and using all Google Cloud services including managing APIs, enabling billing, adding and removing collaborators, and managing permissions for Google Cloud resources.

An image

Google Cloud projects form the basis for creating, enabling, and using all Google Cloud services including managing APIs, enabling billing, adding and removing collaborators, and managing permissions for Google Cloud resources.

CLOUD
DigitalOcean Projects
Our MWebWare team of Cloud service has implemented and gained sufficient expertise for Cloud-based services on DigitalOcean.

If there is a project that needs Cloud-based solutions, Our team has always looked at any DigitalOcean services as an alternative for Azure, AWS and GCP. 7 out of 10 projects that we provided solutions to our clients, we recommended DigitalOcean cloud services solutions as they were able to provide cost-effective alternatives compared to other cloud services.

An image

If there is a project that needs Cloud-based solutions, Our team has always looked at any DigitalOcean services as an alternative for Azure, AWS and GCP. 7 out of 10 projects that we provided solutions to our clients, we recommended DigitalOcean cloud services solutions as they were able to provide cost-effective alternatives compared to other cloud services.

CLOUD
Edge Machine Learning Projects
MWebWare has developed and participated in innovative groundbreaking Edge AI technology solutions that cost a few pennies to make Hardware-based algorithmic solutions with taking data out for work environment.

Our AI on TPU based hardware allows cheaper, lower power, smaller edge devices. They have reduced latency, conserves bandwidth, improve privacy, and enabled smarter applications. Our AI engineers team has successfully provided solutions to various clinics and research centers to use, run, and compare their assessments on these edge devices and help them inaccurate outcomes.

An image

Our AI on TPU based hardware allows cheaper, lower power, smaller edge devices. They have reduced latency, conserves bandwidth, improve privacy, and enabled smarter applications. Our AI engineers team has successfully provided solutions to various clinics and research centers to use, run, and compare their assessments on these edge devices and help them inaccurate outcomes.

Our Clients

ACR
AIRP
SBI
ARRS
Analitycal
Govhealth
Iyer Clinic
NHMRG
Netrin Health