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

Do Fitness Apps do More Harm than Good?

A study published in the British Journal of Health Psychology reveals the negative behavioral and psychological consequences of commercial fitness apps reported by users on social media. These impacts may...

AI Tool Beats Humans at Detecting Parasi…

Scientists at ARUP Laboratories have developed an artificial intelligence (AI) tool that detects intestinal parasites in stool samples more quickly and accurately than traditional methods, potentially transforming how labs diagnose...

Making Cancer Vaccines More Personal

In a new study, University of Arizona researchers created a model for cutaneous squamous cell carcinoma, a type of skin cancer, and identified two mutated tumor proteins, or neoantigens, that...

AI can Better Predict Future Risk for He…

A landmark study led by University' experts has shown that artificial intelligence can better predict how doctors should treat patients following a heart attack. The study, conducted by an international...

A New AI Model Improves the Prediction o…

Breast cancer is the most commonly diagnosed form of cancer in the world among women, with more than 2.3 million cases a year, and continues to be one of the...

AI System Finds Crucial Clues for Diagno…

Doctors often must make critical decisions in minutes, relying on incomplete information. While electronic health records contain vast amounts of patient data, much of it remains difficult to interpret quickly...