Using AI and extensive analyses of gene activity in tumours, researchers have found new, precise biomarkers to diagnose prostate cancer at an early stage through a simple urine sample.
The location and timing of breast cancer recurrence may allow AI to predict the risk of metastasis, a new study shows. This is an essential step towards developing personalised treatment strategies.
Machine learning models fail to detect key health deteriorations in the ICU: a new study reveals that 66% of critical injuries in hospitals would go unnoticed if the current AI models were put to use.
Researchers developed an advanced AI tool for automatic analysis of colorectal cancer tissue slides. The new model outperformed all predecessors in the classification of tissue microscopy samples.
Researchers have developed an artificial intelligence (AI) model to detect the spread of metastatic brain cancer using MRI scans, offering insights into patients’ cancer without aggressive surgery.
Imitation learning could open a new frontier in medical robotics: Researchers 'taught' a robot to mimic a surgical procedure by watching the surgeons' performance.
UK scientists are harnessing the power of AI to assess the antimicrobial resistance of patients in intensive care units (ICUs) and identify sepsis-causing bloodstream infections.
Using smartly trained neural networks, researchers at TU Graz have succeeded in generating precise real-time images of the beating heart from just a few MRI measurement data.
In a recent study, researchers proposed a novel technique to help make stained histopathological image datasets more useful for many emerging machine-learning-based classification systems.
With enough medical training data, AI can predict health conditions with astounding accuracy. Now, researchers want to use brain scans of the entire Scottish population to have an algorithm early detect dementia.
Can an AI predict the progression of multiple sclerosis in a patient over the subsequent months and years? Researchers in Belgium used machine learning to do just that – with promising results.
A combination of facial thermal imaging and artificial intelligence (AI) can accurately predict the presence of coronary artery disease (CAD), new research finds.
Chatbots like ChatGPT generally deliver servicable results when asked for healthcare advice. However, new research suggests that the LLM's accuracy drops when languages other than English are used.
As AI is playing an increasingly crucial role in the fields of pharmacy and medicine, Pharmaceutical Automation and Digitalisation Congress (AUTOMA+ 2024) welcomes the entire industry value chain to join the roundtable discussion on the innovative strategies that are navigating the future of pharma. The Congress takes place in Zurich, Switzerland, on 18-19 November 2024.
Matching the right donor heart to the right recipient at the right time is a complex task. Now, experts point out how AI can provide unbiased decision-support for transplantation process.
Some year in this decade, AI tools will become ubiquitous within clinical laboratories. AI has the potential to increase the accuracy of laboratory testing and improve the quality and efficiency of operations and service of testing labs.
Warfarin is sometimes prescribed after heart surgery, but getting the dose right requires a personalised approach for each patient. A new AI tool is designed to help with this complex task.
Researchers work on the first prototype that applies AI to colorectal diagnosis. The prototype achieved a diagnostic acuity of 93.44% and a sensitivity of 99.7% in the detection of high-risk lesions.
Not all medication can safely be taken together. Using a machine-learning algorithm, researchers predict interactions that could interfere with a drug’s effectiveness.
