Recent publications in The Lancet has given way to speculations that AI could finally be at an equivalence point with human clinical expertise, bringing massive savings of time and resources along with it. Delve into this article as we assess the validity of these claims…
GE Healthcare, a world-leader in medical imaging, has recently set out to integrate AI into current healthcare services, particularly in the conquest of saving time and increasing accuracy. Diagnostic healthcare could be getting a big upgrade…
VeriSIM Life, a biotechnology startup with roots in San Francisco, hopes to accelerate drug development and boost healthcare by the advent of biosimulation, the computerised processing of biological processes which can represent systems of the body. With success, it is hoped to end current practises of animal testing, which are causes of concern and controversy in our growing ethical world.
The wonders of artificial intelligence are revealed again, as Eyenuk Inc develops a system that could be on par, let alone exceed, a clinical expert’s judgement in spotting diabetic retinopathy. With some incredible statistics from early testing, the system looks promising in addressing the current shortcomings in healthcare when it comes to under-staffing and misdiagnosis.
Depression is much more than simple bouts of sadness and hopelessness, it can be a harrowing abyss that leaves its victims with nothing but a persistent despondency throughout everyday life. Hence, it is important that depression is clinically diagnosed and treated to give patients the best possible chance of recovering, learn how artificial intelligence can help diagnose depression with speed and ease.
AI technology is continuously benefiting the medical field far beyond what have people imagined. It does not stop there. Read about how companies, including Facebook, plan to use AI to help people battle mental illness.
Babylon Health, a start up based primarily in the UK, hopes to widen the accessibility of healthcare in the greater world through the opportunities that artificial intelligence based systems provide. With significant support with giants such as Centene investing into their rapidly growing business, read on to see why Babylon Health could potentially become the ‘next big thing’ for healthcare.
The NHS has just been granted £250 million in a bid to set up an artificial intelligence lab, that will be under supervision by the newly formed NHSX organisation who aims to oversee the digital implementation of technology into the NHS. Read on to see how your local hospital could change under the glorious allure of AI!
Atrial fibrillation is a condition affecting more than 1.2 million people in the country, and a leading cause of concern due to the difficulties in detecting it, given its ‘come-and-go’ nature. However, researchers have claimed to be able to detect atrial fibrillation from a 10-second ECG when the patient is in sinus rhythm (i.e when the heart is out of atrial fibrillation)… Quite a statement, but when it has an accuracy of 83%, all we can do is stare in wonder as our technologies set a new standard in an increasing demanding environment of Healthcare.
In my articles, we consistently delve into what artificial intelligence can achieve for patients, but note the key term; ‘could’. Hence, today we look into what artificial intelligence has achieved for patients, ultimately the theory is written for its implementation. To be frank, to evaluate the effectiveness of a solution, it makes a great deal of sense to assess what the solution has achieved outright, than what it ‘could’ achieve. Now, let’s see how AI has played a part in medical practise.
NVIDIA Clara, a developer toolkit centered towards healthcare is another showing of how artificial intelligence can play a role in assisting highly specialised fields such as Medical Imaging and Genomics. With multiple institutions taking it on in such a short period since release at GTC 2019, such as Kings College London and the American College of Radiologists, it is clear that it is here to make an impact! This extended article takes a deep look into the aforementioned fields of medical imaging and Genomics via the input of NVIDIA’s Clara AI system, and what this could mean for the greater realm of global healthcare.
DeepMind and UCL are back at it! This time, we will look at an interesting process called ‘segmentation’ in interpreting scans of head and neck cancers, and how artificial intelligence could speed this up to provide true ‘adaptive radiotherapy’… The future looks bright indeed!
The UCL Institute of Neurology has began a pioneering efforts into assessing the application of Artificial Intelligence in assessing responses to treatment for multiple sclerosis. Similar to pharmacogenics, this could be revolutionary in other areas of patient treatment, leading to a better healthcare for all. Read on to find out more!
Antimicrobial resistance is the ‘next big thing’ when it comes to dangers for humanity, but could machine learning techniques within artificial intelligence hold to limit this spread. Happily, noble institutions such as the University College London and the Great Ormond Street Hospital have been quick to get involved.
How can medical specialities such as ophthalmology be aided by artificial intelligence? In particular, what does a data-set optimised machine learning subset like deep learning artificial intelligence contribute to the NHS, given the climbing demands and strains it faces? The answer lies within….