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.
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.
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).
Osaka Metropolitan University scientists have developed an advanced AI model that utilizes chest radiographs to accurately estimate a patient’s "true" age.
Researchers from the University of Chicago developed a deep-learning model to assess chest X-ray radiographs for probable Covid-19 severity.
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.
A new AI model finds that x-ray images collected during routine medical care can provide warning signs for diabetes, even in patients who don’t meet the guidelines for elevated risk.
Researchers at Monash University have designed a new co-training AI algorithm for medical imaging that can effectively mimic the process of seeking a second opinion.
A new study suggests that deep learning–based computer-aided diagnosis (CAD) for breast lesion classification on ultrasound can significantly improve radiologists' diagnostic performance.
A team of researchers from Denmark have developed a new AI framework to address the number of strokes that go unrecognised by human emergency call handlers.
The latest version of ChatGPT passed a radiology board-style exam, highlighting the potential of large language models (LLM) but also revealing limitations that hinder reliability, new research shows.
Messenger Ribonucleic Acid (mRNA) as a therapeutic approach is gaining momentum due to its ability to be rapidly manufactured and its promising outcomes.
A new paper describes how generative AI text-to-image models such as DALL-E 2 could represent a promising future tool for image generation, augmentation, and manipulation in health care.
The distinction between primary tumors and metastases can be made quickly and accurately in brain tumors using radiomics and deep learning algorithms, a new study shows.
Artificial intelligence (AI) may help improve care for patients who show up at the hospital with acute chest pain, according to a new study published in Radiology.
A team of researchers from Portugal and Germany tested an innovative solution to classify seizures, the main symptom of epilepsy, using infrared radar and 3D videos.
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.
The tall cell variant (TCV) is an aggressive subtype of papillary thyroid carcinoma (PTC). Sebastian Stenman, researcher from the Institute for Molecular Medicine, and the Department of Pathology at the University of Helsinki, Finland, is developing and training a deep learning algorithm using supervised learning to detect and quantify the proportion of tall cells in PTC.
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…
Many consider our eyes to be the windows to the soul. Yet the cornea, the panes of these windows, sometimes need significant repair. Friso Heslinga, PhD, created artificial intelligence models to support surgeons in one of the oldest and most common transplantation procedures.
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.
New CT technology paired with artificial intelligence-based noise reduction offers superior detection of bone disease associated with multiple myeloma at lower radiation doses than conventional CT.
UK researchers developed and validated a deep learning algorithm that can identify and outline a non-small cell lung cancer (NSCLC) tumor on a CT scan within seconds.
The combination of deep-learning reconstruction and a subtraction technique yields promising diagnostic performance for the detection of in-stent restenosis by coronary CTA.
Using deep learning, researchers created AI-driven computer models to analyze corneal and retinal images to help eye doctors in the future.