What the Radiologist should Know about Artificial Intelligence - An ESR White Paper
This paper aims to provide a review of the basis for application of AI in radiology, to discuss the immediate ethical and professional impact in radiology, and to consider possible future evolution. Even if AI does add significant value to image interpretation, there are implications outside the traditional radiology activities of lesion detection and characterisation. In radiomics, AI can foster the analysis of the features and help in the correlation with other omics data. Imaging biobanks would become a necessary infrastructure to organise and share the image data from which AI models can be trained. AI can be used as an optimising tool to assist the technologist and radiologist in choosing a personalised patient's protocol, tracking the patient's dose parameters, providing an estimate of the radiation risks.
Read more ...
SAP, Dell, and Intel Speed Time-to-Value for Powerful Health Analytics
A health-related revolution is transforming industries such as healthcare, life sciences, higher education, consumer products, and the public sector. Empowered by automated diagnosis and treatment options, along with better access to information, patients are taking charge of their healthcare experience like never before. Today's activist health consumers expect medical decisions and
Read more ...
Webranking by Comprend: European Healthcare Sector
In an increasingly challenging and competitive environment, this analysis investigates how well leading European healthcare firms meet the growing expectations of stakeholders in terms of transparency and dialogue through digital channels. Who is taking the lead?
Read more ...
Improving Patient Outcomes
Due to increasing cost pressure in the healthcare sector, established remuneration models for healthcare services are in transition around the world. Fees for performance and value-based systems are increasingly replacing fees for service. Major players - including Medicare and Medicaid in the U.S., the National Health Service in the U.K., the National Health Care Institute in the Netherlands, and
Read more ...
Data Analytics for Unstructured Clinical Case Notes
Clinical case notes are vital to delivering high-quality, coordinated patient care and optimising resources across the health economy. Yet case notes are unstructured and are often housed in incompatible record-keeping siloes, making the information unavailable for the sophisticated presentation and analysis that structured electronic medical record (EMR) systems can provide.
Read more ...
This paper aims to provide a review of the basis for application of AI in radiology, to discuss the immediate ethical and professional impact in radiology, and to consider possible future evolution. Even if AI does add significant value to image interpretation, there are implications outside the traditional radiology activities of lesion detection and characterisation. In radiomics, AI can foster the analysis of the features and help in the correlation with other omics data. Imaging biobanks would become a necessary infrastructure to organise and share the image data from which AI models can be trained. AI can be used as an optimising tool to assist the technologist and radiologist in choosing a personalised patient's protocol, tracking the patient's dose parameters, providing an estimate of the radiation risks. 
A health-related revolution is transforming industries such as healthcare, life sciences, higher education, consumer products, and the public sector. Empowered by automated diagnosis and treatment options, along with better access to information, patients are taking charge of their healthcare experience like never before. Today's activist health consumers expect medical decisions and 
In an increasingly challenging and competitive environment, this analysis investigates how well leading European healthcare firms meet the growing expectations of stakeholders in terms of transparency and dialogue through digital channels. Who is taking the lead? 
Due to increasing cost pressure in the healthcare sector, established remuneration models for healthcare services are in transition around the world. Fees for performance and value-based systems are increasingly replacing fees for service. Major players - including Medicare and Medicaid in the U.S., the National Health Service in the U.K., the National Health Care Institute in the Netherlands, and 
Clinical case notes are vital to delivering high-quality, coordinated patient care and optimising resources across the health economy. Yet case notes are unstructured and are often housed in incompatible record-keeping siloes, making the information unavailable for the sophisticated presentation and analysis that structured electronic medical record (EMR) systems can provide.