With the help of artificial intelligence, computers are to simulate human thought processes. Machine learning is intended to support almost all medical specialties. But what is going on inside an AI algorithm, what are its decisions based on? Can you even entrust a medical diagnosis to a machine? Clarifying these questions remains a central aspect of AI research and development.
French researchers have found that addressing concerns related to the Covid-19 vaccination via a chatbot interface might be capable of swaying the vaccine-hesitant. Vaccine hesitancy is one of the major challenges in containing the Covid-19 pandemic. Previous studies have revealed that mass communication—through short messages relayed by television or radio—is not a very effective means of…
Robotics4EU is the European Commission’s answer to the unprecedented importance of robotics in modern economy. Launched officially in January 2021 under the Horizon 2020 Research and Innovation programme, Robotics4EU aims to take concrete steps to ensure a more widespread adoption of (AI-based) robots in the EU, particularly in the areas of Healthcare, Inspection and Maintenance of…
Researchers at the national research institute for mathematics and computer science in the Netherlands (CWI), together with a colleague from Stichting Interuniversitair Micro-Elektronica Centrum (IMEC) in Eindhoven, have achieved a mathematical breakthrough in the computation of so-called spiking neural networks. Thanks to this breakthrough, special chips that are suitable for this artificial…
Roche announced that it has entered an agreement with PathAI, a global leader in artificial intelligence (AI)-powered technology for pathology. Under the development and distribution agreement, the companies will jointly develop an embedded image analysis workflow for pathologists. This workflow will allow PathAI image analysis algorithms to be accessed within Navify Digital Pathology, the cloud…
Researchers at King's College Hospital and Queen Mary University of London have shown that a new computer-based algorithm can rank drugs used to treat primary liver cancer, based on their efficacy in reducing cancer cell growth.
Researchers at Karolinska Institutet have developed an AI-based tool that improves the diagnosis of breast cancer tumours and the ability to predict the risk of recurrence. The greater diagnostic precision can lead to more personalised treatment for the large group of breast cancer patients with intermediate risk tumours. The results are published in the scientific journal Annals of Oncology.
Machine learning methods are being used to predict the health of the placenta from a 30-second MRI scan. Researchers hope the approach will offer an insight into the health of expectant mothers and unborn babies by detecting the early signs of dangerous conditions such as pre-eclampsia. Researchers from the School of Biomedical Engineering & Imaging Sciences at King’s College London (KCL)…
A computer program trained to see patterns among thousands of breast ultrasound images can aid physicians in accurately diagnosing breast cancer, a new study shows. When tested separately on 44,755 already completed ultrasound exams, the artificial intelligence (AI) tool improved radiologists’ ability to correctly identify the disease by 37 percent and reduced the number of tissue samples, or…
The FDA authorized marketing of software to assist medical professionals who examine body tissues in the detection of areas that are suspicious for cancer as an adjunct to the review of digitally-scanned slide images from prostate biopsies.
Decreasing the rate of missed lesions could translate into fewer cases of colon cancer.
A team of researchers are developing the use of an artificial intelligence (AI) algorithm with the aim of diagnosing deep vein thrombosis (DVT) more quickly and as effectively as traditional radiologist-interpreted diagnostic scans, potentially cutting down long patient waiting lists and avoiding patients unnecessarily receiving drugs to treat DVT when they don’t have it.
The role of Artificial Intelligence (AI) – one of the most divisive issues in cardiology – was debated during a session of the European Society of Cardiology annual congress. Two leading experts argued the pros and cons of its use, exploring its benefits and advantages to cardiac care, as well as highlighting the pitfalls and shortcomings of AI, while underlining the need for clear guidelines…
Roche announced the introduction of the Roche Digital Pathology Open Environment that allows software developers to easily integrate their image analysis tools for tumour tissue with Roche’s uPath enterprise software, an application for pathologist workflow. This open environment allows for the secure exchange and flow of data so that pathologists can access advanced algorithms from third…
More than 50 leading digital pathology experts have been lined up for a major conference in London in December looking at all aspects of the field. Speakers will explore latest developments, new trends, challenges, and innovation, as well as the effects of Covid-19 on pathology practice, during the 8th Digital Pathology and AI Congress on December 1 and 2. Artificial intelligence will feature…
Scientists from the Nanyang Techniogical University (NTU) Singapore, in collaboration with clinicians at Tan Tock Seng Hospital (TTSH) in Singapore, have developed a novel method that uses artificial intelligence (AI) to screen for glaucoma, a group of eye diseases that can cause vision loss and blindness through damage to the optic nerve at the back of the eye. Glaucoma is often called ‘the…
Although artificial intelligence (AI) tools and smartphone apps that help identify suspicious moles and potential skin cancers are starting to proliferate, dermatology informatics has far to go before becoming a clinically adoptable technology. Many challenges need to be resolved, not least of which is the need for more image data representing people of colour.
Artificial intelligence (AI) can be used to give stroke patients a personalised and more accurate risk for suffering a recurrence, according to a new study presented at the European Stroke Organisation (ESO) Conference. Experts believe the study will help to identify the most important factors for preventing stroke recurrence and has the potential to help prevent many thousands of strokes a year…
Artificial Intelligence and Big Data in cardiovascular risk reduction and cardiac rehabilitation are offering new opportunities for increased diagnostic accuracy and more personalised exercise prescription. Experts believe it can be harnessed to design tools to enable cardiologists to make better decisions, and have more confidence in the decision-making process. The topic was featured at ESC…
Coronary computed tomography angiography (CCTA) is a non-invasive imaging test which can be used to evaluate coronary artery stenosis and measure plaques. Current plaque analysis is time-consuming and needs expert readers in order to help assess a patient’s heart attack risk. That’s about to change.
