News • Award-winning research publication
Evaluating brain tumours with AI
Can AI help better evaluate images of brain tumours? A publication from German researchers on this topic presented at this years' ICIS conference won the Best Paper Award.
Machine learning
News • Technology assessment
AI in medical research: Promise and challenges
A powerful tool, but the need for human judgment remains: In an editorial published in PNAS Nexus, Monica M. Bertagnolli assesses the promise of AI and machine learning to study and improve health.
Article • Technology overview and outlook
AI in healthcare: Significant potential – and serious obstacles
Sure, AI still has a long way go. But maybe one day in the not-so-distant future, AI will provide us with information about our current state of health, such as the number of red blood cells, cholesterol levels, fat percentage, and how many seconds last night's beer will shorten our life expectancy.
Article • Need for diversity in training datasets
Artificial intelligence in healthcare: not always fair
Machine learning and AI are playing an increasingly important role in medicine and healthcare, and not just since ChatGPT. This is especially true in data-intensive specialties such as radiology, pathology or intensive care. The quality of diagnostics and decision-making via AI, however, does not only depend on a sophisticated algorithm but – crucially – on the quality of the training data.
News • Machine learning prognosis
Six numbers that predict life-threatening Covid-19
Researchers from Rutgers University developed a way to help hospitals identify life-threatening Covid-19 cases using machine-learning software. The algorithm identified six crucial parameters.
News • Presented at AACC 2023
AI to predict multiple sclerosis, detect contaminated lab samples
The 2023 AACC meeting saw two exciting AI applications in lab medicine: a predictive algorithm for MS, and machine learning for detecting contaminated lab samples.
News • Real-time tumor profiling
AI tool decodes brain cancer’s genome during surgery
Scientists have designed an AI tool that can rapidly decode a brain tumor’s DNA to determine its molecular identity during surgery — critical information that can guide treatment decisions.
News • Optimizing operating room use
Machine learning improves surgery scheduling
Machine-learning algorithms are 13% more accurate in predicting the surgical time needed in the operating room compared with human schedulers, according to new US research.
News • Improving heart attack diagnosis
Using AI to reduce pressure on emergency departments
An algorithm developed using artificial intelligence could soon be used by doctors to diagnose heart attacks with better speed and accuracy than ever before, according to new research.
News • Treatment suggestions for sepsis
AI in the ICU: new model outperforms humans
An artificial intelligence developed at TU Wien (Vienna) can suggest appropriate treatment steps in cases of blood poisoning. The computer has already surpassed humans in this respect.
News • Autism spectrum disorder
Identification of differences in the behavior and brain connectivity among patients with autism spectrum disorder
Autism spectrum disorder (ASD) is a developmental disorder associated with difficulties in interacting with others, repetitive behaviors, restricted interests and other symptoms that can impact academic or professional performance.
News • SWIR for intraoperative tumor delineation
Combining machine learning with multispectral infrared imaging to guide cancer surgery
A UK research team has developed a new technique that combines machine learning with short-wave infrared (SWIR) fluorescence imaging to detect precise boundaries of tumors.
News • Study shows lack of reliability
Can an AI predict Covid-19 from cough sounds? Not really, study finds
Predicting a Covid-19 infection from the sound of a cough? Researchers found that technology using Machine Learning performed no better than simply asking people to report their symptoms.
News • Machine learning analyses driving behaviour
Digital markers offer "near-perfect" dementia prediction
US researchers are developing a highly accurate machine learning model for early detection of mild cognitive impairment and dementia in older drivers.
News • Glycemia assessment
Using machine learning to predict poor glycemic control in patients with type 2 diabetes
The risk for poor glycemic control in patients with type 2 diabetes can be predicted with confidence by using machine learning methods, a new study from Finland finds.
News • Machine learning approach for screening
AI model predicts results of Covid-19 tests
A new study demonstrates that AI models, using symptom and demographic features, can help predict Covid-19 infections, providing a way for rapid screening and cost-effective infection detection.
Article • Assistance and decision-making systems
Artificial intelligence for preoperative planning
In surgery, artificial intelligence (AI) is applied mostly in imaging, navigation, and robotic intervention. However, AI can also play a major role in preoperative planning. Objective decisions-making, optimal utilisation of operating theatres and less overtime are additional advantages that are achieved with the use of AI in surgery.
Article • AI provides prognostic information
Next-generation deep learning models predict cancer survival
Deaths from cancer are currently estimated at 10 million each year worldwide. Conventional cancer staging systems aim to categorize patients into different groups with distinct outcomes. ‘However, even within a specific stage, there is often substantial variation in patient outcomes,’ Markus Plass, academic researcher from the Medical University of Graz, Austria, explained to Healthcare in…
Malignant tumour management
’Our machine learning model achieved 88.9% accuracy in predicting the sarcoma-specific survival rate’
Clinical management of soft tissue sarcoma is particularly challenging. Dr Sebastian Foersch, researcher at the Institute of Pathology at the University Medical Center in Mainz, Germany, has used a deep learning model for diagnosis and prognosis prediction of soft tissue sarcoma using conventional histopathology slides.
Sponsored • Earlier disease prediction and identification
The potential of AI in routine blood testing
It’s widely known that more than 70% of today’s medical decisions involve the results of laboratory tests, but the insights clinicians derive from these tests today may only be scratching the surface of their potential.
News • Combining data science and machine learning
MRI image reconstruction: the next step for compressed sensing
US scientists and engineers have found a way to improve the performance of traditional Magnetic Resonance Imaging (MRI) reconstruction techniques, allowing for faster MRIs to improve healthcare.
News • Devil in the details
Why healthcare researchers must be wary of misusing AI
An international team of researchers advises that strong care needs to be taken not to misuse or overuse machine learning (ML) in healthcare research, despite all of its benefits.
News • Healtchare devices
Hearing aids could read lips through masks
A new system capable of reading lips with remarkable accuracy even when speakers are wearing face masks could help create a new generation of hearing aids.
Article • Interpreter of maladies
Will AI help realize the promise of precision medicine?
Machine learning and artificial intelligence (AI) have the potential to transform cancer treatment management worldwide. Their ability to rapidly analyse and integrate routinely acquired diverse data will improve the accuracy and effectiveness of precision medical treatments.
News • For the first time
Similarity between schizophrenia and dementia dicovered
Researchers for the first time compared schizophrenia and frontotemporal dementia, disorders that are both located in the frontal and temporal lobe regions of the brain.