AM-IA brings together news, research papers and applications relating to artificial intelligence published around the world into a single feed — and makes them available in your European language at the click of a button.
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A longitudinal study links an Alzheimer’s disease progression score to changes in ‘brain age’ estimated using covariance neural networks.
A study compares CLEF and CLEF-Flash using three public breast ultrasound datasets: accuracy varies significantly depending on the prompt and the dataset, with numerous false-positive diagnoses of malignancy.
Researchers combine radiomics, interpretable additive modeling, and conformal prediction to reduce unnecessary biopsies while flagging ambiguous ultrasounds.
Out of eight patients treated with proton therapy and scanned whilst lying down and then sitting up, the AI delineates the 20 cardiac substructures in both positions, and the upright position moves the heart away from the thoracic region.
A coordinator oversees three staff members per modality, who cite the literature and allow the clinician to make corrections: an AUROC of 0.80 for structural progression and 0.68 for pain.
According to Axios, Healthier Capital is leading this funding round. Suki’s assistant, which compiles clinical notes during consultations, is used by more than 450 healthcare organisations.
Rather than summarising dozens of clips with a simple maximum or average value, this network links neighbouring lung areas and accommodates incomplete examinations.
Changing the way in which the distance between brain matrices is measured has little effect on a classifier’s accuracy, but may alter its individual decisions and the explanations it provides for them.
The assistants who write up medical notes do not pick up on body language or emotions, and prioritise clinical information over the patient’s account. They could also undermine doctors’ memory and reasoning.
At Emory University, four models were tested on 1,000 images. MammoCLIP achieved an AUROC of 0.999, but the tiny ResNetLite – which is the fastest – performed no worse than ResNet18.
The MRI2CT software produces a CT-style bone image from a standard MRI scan in less than a minute, without exposing the patient to additional X-rays.
Researchers have laid the foundations for a watch-smartphone system that anticipates the urge to smoke, based on interviews with ten smokers and former smokers in Asia.
Healthcare professionals are primarily required to carry out administrative paperwork and search for information, with diagnosis accounting for just 3.7 per cent. The median benchmark does not include any documentation tasks.
Rather than assessing the absolute quality of an image, the network learns to determine which of two reconstructions is the best, thereby guiding an iterative search for the optimal parameters.
Researchers have calculated the ‘segmentation ceiling’: masks accurate to within 10 per cent would be required to outperform direct regression on video, whereas a typical segmenter is off by 14 per cent.
A method that does not require specific training involves identifying, verifying and then searching for missing food items using a multimodal model, thereby improving the estimation of meal mass and energy content.
This closed-loop framework guides the surgeon to areas to palpate rather than specific points, and determines for itself when realignment is sufficient, without any reference to actual conditions on the ground.
Segmentation using nnU-Net, registration and meshing enable the elasticity of the ascending aorta to be measured on a zone-by-zone basis; this elasticity decreases with age and the diameter of the vessel.
Contrastive learning compares brain recordings from mice and patients according to their biological state. When projected into this space, the effects of treatments in animals correspond to their known clinical efficacy.
BIDMC is evaluating a medical chatbot within a real-world care pathway. The results support its feasibility under supervision, although they do not demonstrate any health benefits.