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AI

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.

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New AI reveals

What is in our cells?

Artificial intelligence-based technique reveals previously unknown cell components that may provide new clues to human development and disease.

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Better quality

Machine learning improves photoacoustic microscopy images

Researchers at the McKelvey School of Engineering at Washington University in St. Louis found a way to significantly reduce the noise and maintain image quality while reducing the laser energy needed…

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WSI, AI and more

New digital frontiers for nephrology

Digital technology solutions are creating new opportunities for pathologists in diagnosis and assessment of renal conditions. With the opportunity for whole slide imaging (WSI), improved workflow and…

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Physicians forecast benefits for healthcare providers and patients

The impact of technology in 2030

How will digital technology impact healthcare in 2030? If challenges to acceptance and utilisation can be overcome, healthcare providers and patients will benefit significantly, according to…

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Health IT Forum at Medica 2021

A glimpse into the future of digitalised medicine

"Virtual Care & Digital Therapeutics", "Medical Artificial Intelligence & Robotics", "Fields of Innovation" and "Societal aspects of digitized…

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The 'PodoSighter'

AI identifies key indicator of early kidney disease

Researchers have leveraged the power of digital pathology and computational modeling to detect and quantify podocytes, a specialized type of cell in the kidney that undergoes damaging changes during…

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Addressing coronavirus vaccine hesitancy

Covid-19: Could a chatbot help overcome vaccine concerns?

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…

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Economic innovation

European project to boost adoption of responsible robotics

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…

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ECG computation

Energy-efficient AI detects heart defects

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…

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AI-powered solutions

Digital Pathology: Roche and PathAI team up

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…

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Histological grading assistance

AI improves precision in breast cancer diagnosis

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.

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Pregnancy imaging

Machine learning predicts placenta health from MRI scans

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)…

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Promising algorithm

AI tool improves breast cancer imaging accuracy

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…

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Blood clots in the legs

Machine learning algorithm to diagnose deep vein thrombosis

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.

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Discussing benefits and flaws

AI in cardiology: a marriage made in heaven – or hell?

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…

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Image analysis integration

Roche opens access to digital pathology tools

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…

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8th Digital Pathology and AI Congress

London digital pathology conference returns to in-person format

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…

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Eye disease prevention

Using AI to screen for glaucoma

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…

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Skin cancer identification

Dermatology & AI: The need to quantify skin tones

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.

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Second stroke prevention

After a stroke, AI can calculate risk of having another

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…

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Risk reduction, rehabilitation

The role of AI in preventive cardiology

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…

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