AIMC Topic: Middle Aged
Clear Filters Showing 2271 to 2280 of 14424 articles
Artificial intelligence-derived coronary artery calcium scoring saves time and achieves close to radiologist-level accuracy accuracy on routine ECG-gated CT.
The international journal of cardiovascular imaging
Dec 16, 2024
Artificial Intelligence (AI) has been proposed to improve workflow for coronary artery calcium scoring (CACS), but simultaneous demonstration of improved efficiency, accuracy, and clinical stability have not been demonstrated. 148 sequential patients...
Coronary Artery Disease
Workflow
Observer Variation
Coronary Vessels
Predictive Value of Tests
Coronary Angiography
Radiologists
Radiographic Image Interpretation, Computer-Assisted
Multidetector Computed Tomography
Vascular Calcification
Computed Tomography Angiography
Cardiac-Gated Imaging Techniques
Retrospective Studies
Female
Reproducibility of Results
Aged
Severity of Illness Index
Time Factors
Electrocardiography
Male
Middle Aged
Humans
Artificial Intelligence
Dual biomarkers CT-based deep learning model incorporating intrathoracic fat for discriminating benign and malignant pulmonary nodules in multi-center cohorts.
Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB)
Dec 16, 2024
BACKGROUND: Recent studies in the field of lung cancer have emphasized the important role of body composition, particularly fatty tissue, as a prognostic factor. However, there is still a lack of practice in combining fatty tissue to discriminate ben...
Blood Pressure Estimation Using Explainable Deep-Learning Models Based on Photoplethysmography.
Anesthesia and analgesia
Dec 16, 2024
BACKGROUND: Due to their invasiveness, arterial lines are not typically used in routine monitoring, despite their superior responsiveness in hemodynamic monitoring and detecting intraoperative hypotension. To address this issue, noninvasive, continuo...
Interpretable deep learning survival predictions in sporadic Creutzfeldt-Jakob disease.
Journal of neurology
Dec 16, 2024
BACKGROUND: Sporadic Creutzfeldt-Jakob disease (sCJD) is a rapidly progressive and fatal prion disease with significant public health implications. Survival is heterogenous, posing challenges for prognostication and care planning. We developed a surv...
Utilizing machine learning approaches to investigate the relationship between cystatin C and serious complications in esophageal cancer patients after esophagectomy.
Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer
Dec 16, 2024
BACKGROUND: The purpose of this study is to investigate the relationship between preoperative cystatin C levels and the risk of serious postoperative complications in esophageal cancer (EC) patients, utilizing advanced machine learning (ML) methodolo...
Swing limb detection using a convolutional neural network and a sequential hypothesis test based on foot pressure data during gait initialization in individuals with Parkinson's disease.
Physiological measurement
Dec 16, 2024
. Start hesitation is a key issue for individuals with Parkinson's disease (PD) during gait initiation. Visual cues have proven effective in enhancing gait initiation. When applied to laser-light shoes, swing-limb detection efficiently activates the ...
Public health perspectives on green efficiency through smart cities, artificial intelligence for healthcare and low carbon building materials.
Frontiers in public health
Dec 16, 2024
INTRODUCTION: Smart cities, artificial intelligence (AI) in healthcare, and low-carbon building materials are pivotal to public health, environmental sustainability, and green efficiency. Despite their critical importance, understanding public percep...
Impaired interhemispheric synchrony in patients with iridocyclitis and classification using machine learning: an fMRI study.
Frontiers in immunology
Dec 16, 2024
BACKGROUND: This study examined the interhemispheric integration function pattern in patients with iridocyclitis utilizing the voxel-mirrored homotopic connectivity (VMHC) technique. Additionally, we investigated the ability of VMHC results to distin...
Estimation of foveal avascular zone area from a B-scan OCT image using machine learning algorithms.
PloS one
Dec 16, 2024
PURPOSE: The objective of this study is to estimate the area of the Foveal Avascular Zone (FAZ) from B-scan OCT images using machine learning algorithms.
Utility of an Echocardiographic Machine Learning Model to Predict Outcomes in Intensive Cardiac Care Unit Patients.
Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography
Dec 14, 2024
INTRODUCTION: The risk stratification at admission to the intensive cardiac care unit (ICCU) is crucial and remains challenging.
Don't Miss the Future of Medicine
Join thousands of healthcare professionals staying informed about the latest AI breakthroughs in medicine. Get curated insights delivered to your inbox.
Subscribe NowPopular Topics
- Machine Learning 30604
- Neural Networks, Computer 29501
- Algorithms 26543
- Deep Learning 26021
- Artificial Intelligence 24045
- Robotics 13285
- Image Processing, Computer-Assisted 9385
- Retrospective Studies 8940
- Magnetic Resonance Imaging 6074
- Reproducibility of Results 5538
- Tomography, X-Ray Computed 4681
- Support Vector Machine 4644
- Computational Biology 4190
- Brain 3991
- Computer Simulation 3857
Recent Journals
- Scientific reports 5369
- Sensors (Basel, Switzerland) 4794
- PloS one 3983
- Neural networks : the official journal of the International Neural Network Society 2927
- Computational intelligence and neuroscience 1931
- Computers in biology and medicine 1836
- Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 1686
- Studies in health technology and informatics 1278
- IEEE journal of biomedical and health informatics 1121
- Journal of chemical information and modeling 987
- Nature communications 889
- Computer methods and programs in biomedicine 863
- Bioinformatics (Oxford, England) 858
- Briefings in bioinformatics 849
- IEEE transactions on neural networks and learning systems 820