Novartis today announced results from a validation study of the innovative, algorithm-based digital solution MS Progression Discussion Tool, or MSProDiscussTM. The tool aims to support and facilitate a discussion between physicians and patients living with multiple sclerosis (MS) who have transitioned, or are at risk of transitioning from relapsing remitting MS (RRMS) to secondary progressive MS (SPMS)[1].
| Location: | Erlangen, Germany |
| Job Type: | Full-Time |
| Employer: | Siemens Healthineers |
Royal Philips (NYSE: PHG, AEX: PHIA), a global leader in health technology, announced that telehealth service provider Chipmunk Health, with locations in the Netherlands and Canada, is leveraging the capabilities and services of Philips' HealthSuite digital platform to roll out its new GP-to-patient home monitoring solutions.
Sensyne Health plc (LSE: SENS), the British clinical AI technology company, and Bayer, the life sciences company, announce that Bayer has become Sensyne Health's preferred pharmaceutical partner to work together on the development of a national linked patient data capability. Bayer joins Microsoft, EY, JP Morgan, and Peel Hunt in this consortium.
AstraZeneca and BenevolentAI began a long-term collaboration to use artificial intelligence (AI) and machine learning for the discovery and development of new treatments for chronic kidney disease (CKD) and idiopathic pulmonary fibrosis (IPF).
Red Hat, Inc. (NYSE: RHT), the world's leading provider of open source solutions, announced that Public Health England (PHE), an executive agency of the Department of Health and Social Care in the United Kingdom, is using Red Hat's open hybrid cloud technologies to support modern digital public health services in the UK.
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.
With their first course under the heading "Intelligence. Innovation. Imaging - The perfect vision of AI," held in Barcelona on April 5-6, Siemens Healthineers and the European Society of Radiology launched a collaborative arrangement aimed at promoting discussion with the radiology community.
Liopa, a spin out of the Centre for Secure Information Technologies (CSIT) at Queen's University Belfast (QUB) has announced that it is to deliver a prototype patient/carer communications aid. It will be used by tracheostomy patients in critical care environments.