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Latest News
Revolutionizing Healthcare: IMEXHS and deepc Join Forces to Create AI-Powered Radiology Solution
IMEXHS and deepc are...
Powering Innovation to tackle medical imaging challenges in Australia. Welcoming Crowd IT to our group of partners around the world.
We continue to welcome...
IMEXHS improves the way it offers support, making life easier for its users.
From this point on, the...
MarketScreener media mentions IMEXHS 5 year corporate strategy
The delivery of this...
Colombian company revolutionizing the radiology and diagnostic imaging sector worldwide
We are very proud to be...
IMEXHS presents its corporate strategy for the next 5 years
To set the company's...
New project confirmation
At IMEXHS, we are proud to continously provide a modern and secure platform, which unceasingly welcomes new specialized centers that place their trust in us.
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Articles
Tips To Improve ETL Performance
Today's organization aims to be data-driven, that is, it makes decisions based on data. To achieve this, companies typically implement a Data Governance (DG) program to integrate all internal and external data into a single database, ensuring accuracy, timely,...
Radiology and artificial intelligence working together to go further beyond
The term artificial intelligence (AI) refers to one branches of computer science that is dedicated create systems able to perform tasks that usually require human intelligence. In recent years, AI has gained relevance in medical imaging. For instance, in radiology the...
The role of RIS in the Healthcare System
A Radiology Information System (RIS) is a technology used by radiology departments to store, manipulate and distribute radiology data and images of patients. RIS is crucial in the radiology workflow to optimize the imaging process through various functions involved in...
The transition from medical businesses using technology to medical technology companies is revolutionizing imaging.
Biomedical engineers or the technology department have traditionally been responsible for managing the information systems of hospitals or medical imaging centers. However, the management and outsourcing of the management of these systems by technology companies are...
Corporate Life
Revolutionizing Healthcare: IMEXHS and deepc Join Forces to Create AI-Powered Radiology Solution
IMEXHS and deepc are excited to announce the launch of their new solution offering, "IMEX AI Powered by deepc." This collaboration aims to revolutionize the healthcare industry and improve the quality of life for patients. The alliance between IMEXHS and deepc...
Tips To Improve ETL Performance
Today's organization aims to be data-driven, that is, it makes decisions based on data. To achieve this, companies typically implement a Data Governance (DG) program to integrate all internal and external data into a single database, ensuring accuracy, timely,...
Radiology and artificial intelligence working together to go further beyond
The term artificial intelligence (AI) refers to one branches of computer science that is dedicated create systems able to perform tasks that usually require human intelligence. In recent years, AI has gained relevance in medical imaging. For instance, in radiology the...
The role of RIS in the Healthcare System
A Radiology Information System (RIS) is a technology used by radiology departments to store, manipulate and distribute radiology data and images of patients. RIS is crucial in the radiology workflow to optimize the imaging process through various functions involved in...
Papers
A method for automatic estimation of fractional anisotropy along of cerebral tracts related with the emergency of consciousness
ABSTRACTThe emergency of consciousness continue to be open challenge the scientific community. Tools such as diffusion weighted imaging (DWI) and tractography try to settle this debate by showing the processes at the biological level of the a conscious states. Even...
A deep learning approach for automatic segmentation of ground-glass opacities and consolidation in small Chest-CT dataset
ABSTRACTGround-glass opacities (GGO) and consolidation are findings typically observed in pneumonia and other acute lung diseases. For radiologists, segmentation and analysis of GGO and consolidation on chest computed tomography (CT) images are critical to quantify...
Videos