A demo of the scheduling tool for nurse rostering by ROAD2H has won the prize of "best (innovative) demo" at AAMAS 2020 

The ROAD2H team has demonstrated a working version of the system at the 2019 American Medical Informatics Association 2019 Annual Meeting in Washington DC

Dr Jesus Dominguez from King's College London ROAD2H team conducts a visit to discuss work progress with Heliant and collaborators at University of Belgrade.

Prof Brendan Delaney and Dr Vasa Curcin presented a ROAD2H system demonestration at EPSRC Global Challenge Summit London, September 2019

ROAD2H team conduct a scoping visit and training workshop at Wuxi People's Hospital Wuxi, China, 12-15 August 2019

Interactive Schedule Explainer for nurse rostering shortlisted for and presented at the final of British Computer Society's Machine Intelligence Competition. 

ROAD2H researchers led by Kristijonas Čyras partake at The Great Exhibition Road Festival presenting the AI-assisted Schedule Explainer tool for explaining nurse rostering in healthcare clinics.

During a meeting with UK policy-makers at The Forum: AI & Health on March 1, 2019, Imperial College London, Dr Kristijonas Čyras overviewed AI-based clinical decision support systems and the challenges that human-AI collaborative systems face in today's healthcare applications.

Prof. Toni outlined ROAD2H development of clinical decision-making support systems, which use Artificial Intelligence techniques in conjunction with patient data and clinical guidelines to assist clinicians in the delivery of services. The system will be designed around a form of AI that employs argumentation to optimise its outcomes.

The paper "Argumentation for Explainable Scheduling" by Kristijonas Cyras, Dimitrios Letsios, Ruth Misener and Francesca Toni (all from the Department of Computing at Imperial College London) has been accepted for presentation at the Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19). The paper presents the ROAD2H approach to explaining, using argumentation, optimal decisions concerning scheduling of tasks, in a general manner applicable to various settings (e.g. scheduling of treatments). AAAI is a yearly premiere conference in Artificial Intelligence, and competition was especially stiff this year: AAAI-19 received a record number of over 7,700 submissions, of which 7,095 were reviewed, with only 1,150 papers accepted, yielding an acceptance rate of 16.2%.

The annual ROAD2H technical workshop was held the 28th September 2018 in London, UK and included colleagues from China, Serbia and the UK 

Department of Computing (Imperial College) have organised MedRACER'18 workshop during 16th International Conference on Principles of Knowledge Representation and Reasoning 

Francesca Toni gave a keynote at the 7th International Conference on Computational Models of Argument, 11th - 14th September 2018, Warsaw, Poland. 

ROAD2H researcher, Kristijonas Cyras, co-organises a workshop on computation methods in medical reasoning at the 16th International conference on Principles of Knowledge Representation and Reasoning in Tempe, Arizona. The workshop will bring together both experts and up-and-coming researchers with an interest in the use of computational methods for medical reasoning and promote future collaborations in the field. 

On the 3rd November, the ROAD2H project launches their new website, which is a hub where the different collaborators of the project will publish their research, and provide resources for policy makers, researchers, healthcare professionals and the public.