Polymer-based delivery systems with metal complexes as contrast agents for medical imaging
Medical contrast agents are indispensable for bioimaging in deep tissues, which
significantly facilitate accurate clinical diagnoses. The forefront of current research focuses …
significantly facilitate accurate clinical diagnoses. The forefront of current research focuses …
Data-driven classification and explainable-AI in the field of lung imaging
Detecting lung diseases in medical images can be quite challenging for radiologists. In
some cases, even experienced experts may struggle with accurately diagnosing chest …
some cases, even experienced experts may struggle with accurately diagnosing chest …
[PDF][PDF] Automatic Medical Report Generation: Methods and Applications
The increasing demand for medical imaging has surpassed the capacity of available
radiologists, leading to diagnostic delays and potential misdiagnoses. Artificial intelligence …
radiologists, leading to diagnostic delays and potential misdiagnoses. Artificial intelligence …
TPat: Transition pattern feature extraction based Parkinson's disorder detection using FNIRS signals
Abstract Background and Objective Parkinson's Disease (PD) is one of the most commonly
observed neurodegenerative disorders worldwide. Many researchers have utilized machine …
observed neurodegenerative disorders worldwide. Many researchers have utilized machine …
Scalable, reproducible, and cost-effective processing of large-scale medical imaging datasets
Curating, processing, and combining large-scale medical imaging datasets from national
studies is a non-trivial task due to the intense computation and data throughput required …
studies is a non-trivial task due to the intense computation and data throughput required …
Advancing cancer diagnosis and treatment: integrating image analysis and AI algorithms for enhanced clinical practice
Cancer screening and diagnosis with the utilization of innovative Artificial Intelligence tools
improved the treatment strategies and patients' survival. With the rapid development of …
improved the treatment strategies and patients' survival. With the rapid development of …
[HTML][HTML] An Efficient Prediction Model on the Operation Quality of Medical Equipment Based on Improved Sparrow Search Algorithm-Temporal Convolutional Network …
Z Lin, Z Ji - Sensors, 2024 - mdpi.com
Combining medical IoT and artificial intelligence technology is an effective approach to
achieve the intelligence of medical equipment. This integration can address issues such as …
achieve the intelligence of medical equipment. This integration can address issues such as …
Metal-organic frameworks: Biosensor applications for diagnosis of cancers
For early cancer diagnosis and therapy, sensitive and selective cancer biomarker detection
is crucial. One of the most powerful technologies for cancer early detection in development …
is crucial. One of the most powerful technologies for cancer early detection in development …
AI-based Automatic Segmentation of Prostate on Multi-modality Images: A Review
Prostate cancer represents a major threat to health. Early detection is vital in reducing the
mortality rate among prostate cancer patients. One approach involves using multi-modality …
mortality rate among prostate cancer patients. One approach involves using multi-modality …
Integrating Technologies in the Metaverse for Enhanced Healthcare and Medical Education
A Chaddad, Y Jiang - IEEE Transactions on Learning …, 2025 - ieeexplore.ieee.org
The concept of the Metaverse, viewed as the ultimate manifestation of the Internet, has
gained significant attention due to rapid advances in technologies such as the Internet of …
gained significant attention due to rapid advances in technologies such as the Internet of …