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.
Researchers from Osaka University present a novel technique to detect different coronavirus variants quickly, including fast-spreading strains present in human saliva.
Philips and Quibim have signed a multi-year agreement to work on an integrated solution including an AI-based software to automate real-time prostate gland segmentation in MR images.
Researchers from Finland have developed an artificial intelligence tool for automatic colorectal cancer tissue analysis that outperforms prior methods.
A new research collaboration aims to develop a forward-looking AI application to detect gender-specific symptoms earlier and further reduce mortality from heart disease, especially among women.
Voice pathology detection (VPD) can detect abnormal vibrations in the vocal cords caused by conditions like cancer and cysts. Now, researchers have found a way to make the method more reliable.
Hardly a day passes without new headlines about ChatGPT, the AI-powered large language model, and its potential applications in healthcare. First results have been somewhat sobering after the initial hype, with the AI’s “hallucinations” often replacing scientific truth. Still, Professor Philip Moons is convinced that the chatbot might bring actual benefits to nursing and health science…
An automated pain recognition system using artificial intelligence (AI) holds promise as an unbiased method to detect pain in patients before, during and after surgery.
A new AI method for CT brain imaging may bring the modality to the level of detail usually reserved for MRI scans. This could enhance diagnostic support for conditions such as Alzheimer's disease.
New research from Deusto University in Bilbao, Spain, provides evidence that people can inherit artificial intelligence biases (systematic errors in AI outputs) in their decisions.
A new artificial intelligence (AI) model combines imaging information with clinical patient data to improve diagnostic performance on chest X-rays, a new study finds.
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.
Reports of AI gaining the upper hand in diagnostic imaging interpretation are piling up, but there are still areas where the eye of a trained human radiologist remains superior.
From cancer to AI, from management to new medication: this year's Labmed Forum at MEDICA 2023 in Düsseldorf (November 13-16) once again features an exciting scientific programme.
Mammographic screening is used to detect breast cancer, but is prone to false findings. Could an AI reader help improve this? UK researchers compared the performance of man and machine.
For the first time, researchers show that AI-based predictions can deliver comparable results to clinical tests on biopsies of patients with colorectal cancer (CRC).
Experts from Brigham and Women’s Hospital have tasked ChatGPT to generate recommendations for cancer treatment – with some promise, but ultimately inadequate results.
When faced with an umfamiliar task, many people rely on the voice assistants in their smartphone to help them out. However, when it comes to CPR, these AI companions cannot always be counted on.
Osaka Metropolitan University scientists have developed an advanced AI model that utilizes chest radiographs to accurately estimate a patient’s "true" age.
Machines are getting smarter every day, and companies across the world are discovering new ways in which they can use AI to significantly enhance engagement and customer experience. That is why decision-makers from pharmaceutical companies, hospitals and healthcare providers gather to network and discuss the latest innovations, as well as the potential for both AI and robotics, at Healthcare…
Researchers from the University of Chicago developed a deep-learning model to assess chest X-ray radiographs for probable Covid-19 severity.
Centralized review of slides combined with telepathology has opened up the potential for a dramatic reduction in the waiting times for breast cancer patients to start their therapy. Jan Hudecek from the Netherlands Cancer Institute outlined his team’s framework for multi-centre clinical trials with centralized digital pathology review at the 9th Digital Pathology and Artificial Intelligence…
Researchers at UCLH were able to identify malaria parasites in blood samples using an automated microscope and AI software. This might be a valuable tool to screen travelers returning from malaria-endemic countries.
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.
Experts have highlighted how precision pathology using Artificial Intelligence can provide an effective alternative to molecular diagnostics. This, say a team from the Karolinska Institutet (KI) in Stockholm, Sweden, can also offer multiple advantages within a clinical setting and support risk stratification.