Management in Radiology (MIR) Congress Organised by ESR

European Society of RadiologyFor the first time, European Society of Radiology (ESR) has organised the annual Management in Radiology (MIR) Congress, a professional meeting aimed at administrators of radiology departments worldwide. Held from 10 to 13 October in Oxford, UK, the MIR Congress has attracted 137 professionals from 29 countries. Featuring sessions such as 'Management of image study coding' and 'The ten commandments for managing an imaging department', the meeting addressed administrative and practical issues encountered in the daily life of a radiology department.

"Within the context of the MIR Congress, information technology aspects are important but are dominated by their managerial aspects, e.g. political and ethical issues in teleradiology", said Professor Georg Bongartz, former MIR Chairman.

With 64 invited lectures and proffered papers, and 52 international lecturers, the event, held for the 10th year, has been welcomed by participants.

"The Oxford meeting once again offered a unique communication basis for administrators and chairmen of radiological departments", commented Professor Bongartz.

MIR, a subcommittee of ESR, organises a congress each year and a winter course at changing locations. The next winter course will be held from 10 till 12 January 2008 in Bad Gastein, Austria, and the next congress will take place in Athens, Greece, in October 2008.

The MIR Congress presentations are available at www.imagingmanagement.org

For further information, please visit: www.mir-online.org

Most Popular Now

500 Patient Images per Second Shared thr…

The image exchange portal, widely known in the NHS as the IEP, is now being used to share as many as 500 images each second - including x-rays, CT, MRI...

Is Your Marketing Effective for an NHS C…

How can you make sure you get the right message across to an NHS chief information officer, or chief nursing information officer? Replay this webinar with Professor Natasha Phillips, former...

We could Soon Use AI to Detect Brain Tum…

A new paper in Biology Methods and Protocols, published by Oxford University Press, shows that scientists can train artificial intelligence (AI) models to distinguish brain tumors from healthy tissue. AI...

Welcome Evo, Generative AI for the Genom…

Brian Hie runs the Laboratory of Evolutionary Design at Stanford, where he works at the crossroads of artificial intelligence and biology. Not long ago, Hie pondered a provocative question: If...

Telehealth Significantly Boosts Treatmen…

New research reveals a dramatic improvement in diagnosing and curing people living with hepatitis C in rural communities using both telemedicine and support from peers with lived experience in drug...

AI can Predict Study Results Better than…

Large language models, a type of AI that analyses text, can predict the results of proposed neuroscience studies more accurately than human experts, finds a new study led by UCL...

Using AI to Treat Infections more Accura…

New research from the Centres for Antimicrobial Optimisation Network (CAMO-Net) at the University of Liverpool has shown that using artificial intelligence (AI) can improve how we treat urinary tract infections...

Research Study Shows the Cost-Effectiven…

Earlier research showed that primary care clinicians using AI-ECG tools identified more unknown cases of a weak heart pump, also called low ejection fraction, than without AI. New study findings...

New Guidance for Ensuring AI Safety in C…

As artificial intelligence (AI) becomes more prevalent in health care, organizations and clinicians must take steps to ensure its safe implementation and use in real-world clinical settings, according to an...

Remote Telemedicine Tool Found Highly Ac…

Collecting images of suspicious-looking skin growths and sending them off-site for specialists to analyze is as accurate in identifying skin cancers as having a dermatologist examine them in person, a...

Philips Aims to Advance Cardiac MRI Tech…

Royal Philips (NYSE: PHG, AEX: PHIA) and Mayo Clinic announced a research collaboration aimed at advancing MRI for cardiac applications. Through this investigation, Philips and Mayo Clinic will look to...

Deep Learning Model Accurately Diagnoses…

Using just one inhalation lung CT scan, a deep learning model can accurately diagnose and stage chronic obstructive pulmonary disease (COPD), according to a study published today in Radiology: Cardiothoracic...