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Predicting the Availability of Hematopoietic Stem Cell Donors Using Machine Learning

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Machine learning-aided metallomic profiling in serum and urine of thyroid cancer patients and its environmental implications

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Prediction of the Age at Onset of Spinocerebellar Ataxia Type 3 with Machine Learning

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Evaluation of AI-Assisted Telemedicine Service Using a Mobile Pet Application

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Artificial Intelligence Trained by Deep Learning Can Improve Computed Tomography Diagnosis of Nontraumatic Subarachnoid Hemorrhage by Nonspecialists

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Advancements in AI for Computational Biology and Bioinformatics: A Comprehensive Review

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Automated Lateral Ventricular and Cranial Vault Volume Measurements in 13,851 Patients Using Deep Learning Algorithms

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3D CNN classification model for accurate diagnosis of coronavirus disease 2019 using computed tomography images

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Intraoperative Detection of Surgical Gauze Using Deep Convolutional Neural Network

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A comparative knowledge base development for cancerous cell detection based on deep learning and fuzzy computer vision approach

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Deep learning-based computed tomography image segmentation and volume measurement of intracerebral hemorrhage

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Artificial intelligence innovations in neurosurgical oncology: a narrative review

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Creation and Testing of a Deep Learning Algorithm to Automatically Identify and Label Vessels, Nerves, Tendons, and Bones on Cross‐sectional Point‐of‐Care Ultrasound Scans for Peripheral Intravenous Catheter Placement by Novices

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Reviewing the relationship between machines and radiology: the application of artificial intelligence

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Models for predicting treatment efficacy of antiepileptic drugs and prognosis of treatment withdrawal in epilepsy patients

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Integrating mixed reality, augmented reality, and artificial intelligence in complex liver surgeries: Enhancing precision, safety, and outcomes

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A U-Net Based System for Cranial Implant Design with Pre-processing and Learned Implant Filtering

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Efficient Scopeformer: Toward Scalable and Rich Feature Extraction for Intracranial Hemorrhage Detection

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Automated intracranial hemorrhage detection in traumatic brain injury using 3D CNN

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Diagnostic Accuracy and Performance Analysis of a Scanner-Integrated Artificial Intelligence Model for the Detection of Intracranial Hemorrhages in a Traumatology Emergency Department

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YOLOv5s-CAM: A Deep Learning Model for Automated Detection and Classification for Types of Intracranial Hematoma in CT Images

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Mortality Prediction of Patients with Subarachnoid Hemorrhage Using a Deep Learning Model Based on an Initial Brain CT Scan

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Automated detection of fatal cerebral haemorrhage in postmortem CT data

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An innovative artificial intelligence-based method to compress complex models into explainable, model-agnostic and reduced decision support systems with application to healthcare (NEAR)

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PHE-SICH-CT-IDS: A benchmark CT image dataset for evaluation semantic segmentation, object detection and radiomic feature extraction of perihematomal edema in spontaneous intracerebral hemorrhage

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Two-Stage Approach to Intracranial Hemorrhage Segmentation From Head CT Images

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Are Convolutional Neural Networks Trained on ImageNet Images Wearing Rose‐Colored Glasses?: A Quantitative Comparison of ImageNet , Computed Tomographic, Magnetic Resonance, Chest X‐Ray , and Point‐of‐Care Ultrasound Images for Quality

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Radiomics at a Glance: A Few Lessons Learned from Learning Approaches

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An East Coast Perspective on Artificial Intelligence and Machine Learning: Part 1

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A multi-label classification model for full slice brain computerised tomography image

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Artificial Intelligence—What to Expect From Machine Learning and Deep Learning in Hernia Surgery

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Variational methods with application to medical image segmentation: A survey

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Accurate detection of arrhythmias on raw electrocardiogram images: An aggregation attention multi-label model for diagnostic assistance

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A Nationwide Web-Based Survey of Neuroradiologists’ Perceptions of Artificial Intelligence Software for Neuro-Applications in Korea

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Comparative analysis of ResNet, ResNet-SE, and attention-based RaNet for hemorrhage classification in CT images using deep learning

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Artificial Intelligence-based automated CT brain interpretation to accelerate treatment for acute stroke in rural India: An interrupted time series study

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Towards Accountable, Legitimate and Trustworthy AI in Healthcare: Enhancing AI Ethics with Effective Data Stewardship

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Characteristics, licensing, and ethical considerations of openly accessible oral-maxillofacial imaging datasets: a systematic review

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Ensembled Deep Neural Network for Intracranial Hemorrhage Detection and Subtype Classification on Noncontrast CT Images

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Classifications of Skull Fractures using CT Scan Images via CNN with Lazy Learning Approach

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Deep learning-based identification and localization of intracranial hemorrhage in patients using a large annotated head computed tomography dataset: A retrospective multicenter study

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Challenges, optimization strategies, and future horizons of advanced deep learning approaches for brain lesion segmentation

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Identifying malignant nodules on chest X-rays

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Federated learning‐based colorectal cancer classification by convolutional neural networks and general visual representation learning

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Artificial intelligence for detection of intracranial haemorrhage on head computed tomography scans: diagnostic accuracy in Hong Kong

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Neural shape completion for personalized Maxillofacial surgery

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Application of Machine Learning to Osteoporosis and Osteopenia Screening Using Hand Radiographs

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A Weakly Supervised-Guided Soft Attention Network for Classification of Intracranial Hemorrhage

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Faster and Better: How Anomaly Detection Can Accelerate and Improve Reporting of Head Computed Tomography

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Evaluation of grouped capsule network for intracranial hemorrhage segmentation in CT scans

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Deep reinforcement learning framework for thoracic diseases classification via prior knowledge guidance

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Artificial Intelligence in Cutaneous Oncology

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Weakly Supervised Deep Learning-based Intracranial Hemorrhage Localization

Nemček, J., Vičar, T., & Jakubíček, R. (2022) · International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC) · doi:10.5220/0010825000003123 · Cited by 16

Real-Life Performance of a Commercially Available AI Tool for Post-Traumatic Intracranial Hemorrhage Detection on CT Scans: A Supportive Tool

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Deep skin diseases diagnostic system with Dual-channel Image and Extracted Text

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Detection and Segmentation of Subdural Hemorrhage on Head CT Images

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Artificial Intelligence Application in Skull Bone Fracture with Segmentation Approach

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Deep Learning-Based Method of Diagnosing Hyperlipidemia and Providing Diagnostic Markers Automatically

Liu, Y., Zhang, Q., Zhao, G., Liu, G., & Liu, Z. (2020) · Diabetes Metabolic Syndrome and Obesity · doi:10.2147/dmso.s242585 · Cited by 13

Implementation and design of artificial intelligence in abdominal imaging

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The delineation of largely deformed brain midline using regression‐based line detection network

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Computer Vision for Brain Disorders Based Primarily on Ocular Responses

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Radiomics-based method for diagnosis of calciphylaxis in patients with chronic kidney disease using computed tomography

Qian, Y., Liu, Y., Xie, X., Liu, J., Huang, S., Zhang, X., & Ju, S. (2021) · Quantitative Imaging in Medicine and Surgery · doi:10.21037/qims-20-1211 · Cited by 13

Is Convolutional Neural Network Accurate for Automatic Detection of Zygomatic Fractures on Computed Tomography?

Tong, Y., Jie, B., Wang, X., Xu, Z., Ding, P., & He, Y. (2023) · Journal of Oral and Maxillofacial Surgery · doi:10.1016/j.joms.2023.04.013 · Cited by 14

HyM3D: A hybrid method for the automatic 3D reconstruction of a defective cranial vault

Marzola, A., McGreevy, K. S., Mussa, F., Volpe, Y., & Governi, L. (2023) · Computer Methods and Programs in Biomedicine · doi:10.1016/j.cmpb.2023.107516 · Cited by 12

Performance of deep learning-based autodetection of arterial stenosis on head and neck CT angiography: an independent external validation study

Yang, Y., Huan, X., Guo, D., Wang, X., Niu, S., & Li, K. (2023) · La radiologia medica · doi:10.1007/s11547-023-01683-w · Cited by 12

Creating high-resolution 3D cranial implant geometry using deep learning techniques

Wu, C., Yang, Y.-H., & Chang, Y. (2023) · Frontiers in Bioengineering and Biotechnology · doi:10.3389/fbioe.2023.1297933 · Cited by 12

Expanded Brain CT Dataset for the Development of AI Systems for Intracranial Hemorrhage Detection and Classification

Khoruzhaya, A. N., Bobrovskaya, T., Kozlov, D. V., Kuligovskiy, D., Петрович, Н. В., Arzamasov, K. M., & Kremneva, E. I. (2024) · Data · doi:10.3390/data9020030 · Cited by 12

Disorder-Free Data Are All You Need — Inverse Supervised Learning for Broad-Spectrum Head Disorder Detection

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Machine Learning–Based Prediction for In‐Hospital Mortality After Acute Intracerebral Hemorrhage Using Real‐World Clinical and Image Data

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Intracranial hemorrhage segmentation and classification framework in computer tomography images using deep learning techniques

Ahmed, S. N., & Prakasam, P. (2025) · Scientific Reports · doi:10.1038/s41598-025-01317-3 · Cited by 14

Intracranial hemorrhage detection

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Artificial intelligence: Advances and new frontiers in medical imaging

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Modern Learning from Big Data in Critical Care: Primum Non Nocere

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Assessment of a combined musculoskeletal and chest deep learning-based detection solution in an emergency setting

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Enactive hermeneutics and smart medical technologies

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Fighting healthcare rocketing costs with value-based medicine: the case of stroke management

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High-Resolution Cranial Implant Prediction via Patch-Wise Training

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