As year 2019 comes to a close, perhaps it’s time for us to take a look back at some of the significant moments of AIMed. The many new ventures and collaborations 2019 is probably the year for many new ventures and collaborations. In February, UK’s National Health Service (NHS) announced the launch o
Motor Neurone Disease (MND) is an uncommon and incurable medical condition whereby the nerves of a patient’s brain and spine gradually degenerate and lose their capabilities to function properly. As mentioned in The Lancet Neurology, in the year 2016, there are more than 330,000 individuals affected
In a recent interview with The New England Journal of Medicine, Dr. Adewole Adamson, Dermatologist, Health Services Researcher, and Assistant Professor of Internal Medicine at Dell Medical School, University of Texas explained what machine learning (ML) is and the promises it brought to medicine thr
Recently, a group of American and Brazilian researchers co-developed an organ-on-a-chip model to improve the in vitro study on the influence of biomaterials had on living dental pulp cells. This scaled-down tooth system comes with a thin slice of human molar sandwiched in between slips of clear rubb
This August, the UK government announced a £250 million boosts to set up a new National Artificial Intelligence (AI) Laboratory to tackle some of the more pressing challenges facing the NHS (National Health Service) including heart disease and dementia predictions, cancer screenings, and automation
Abstract We review some of the latest approaches to analysing cardiac electrophysiology data using machine learning and predictive modelling. Cardiac arrhythmias, particularly atrial fibrillation, are a major global healthcare challenge. Treatment is often through catheter ablation, which involves t
The latest developments in machine learning and what they mean for the future of medical image analysis?
Despite a newfound wealth of data and information, the healthcare sector is lacking in actionable knowledge. This is largely because healthcare data, though plentiful, tends to be inherently complex and fragmented. Health data analytics, with an emphasis on predictive analytics, is emerging as a tra
The key landmarks of the vital role of innovation in delivering better healthcare