Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 911 to 920 of 160,607 articles

Immunohistochemistry guided segmentation of benign epithelial cells, in situ lesions, and invasive epithelial cells in breast cancer slides.

PloS one
Digital pathology enables automatic analysis of histopathological sections using artificial intelligence. Automatic evaluation could improve diagnostic efficiency and find associations between morphological features and clinical outcome. For developm... read more 

Enhanced SVM-based model for predicting cyberspace vulnerabilities: Analyzing the role of user group dynamics and capital influx.

PloS one
Amid substantial capital influx and the rapid evolution of online user groups, the increasing complexity of user behavior poses significant challenges to cybersecurity, particularly in the domain of vulnerability prediction. This study aims to enhanc... read more 

Use of hybrid quantum-classical algorithms for enhancing biomarker classification.

PloS one
Quantum machine learning (QML) combines quantum computing with machine learning, offering potential for solving intricate problems. Our research delves into QML's application in identifying gene expression biomarkers for clear cell renal cell carcino... read more 

Embracing AI in academia: A mixed methods study of nursing students' and educators' perspectives on using ChatGPT.

PloS one
BACKGROUND: The integration of artificial intelligence (AI) tools such as ChatGPT is reshaping academic practice, particularly in nursing education. Understanding how nursing students and educators perceive and interact with ChatGPT is essential for ... read more 

Frequency domain manipulation of multiple copy-move forgery in digital image forensics.

PloS one
Copy move forgery is a type of image forgery in which a portion of the original image is copied and pasted in a new location on the same image. The consistent illumination and noise pattern make this kind of forgery more difficult to detect. In copy-... read more 

FLPneXAINet: Federated deep learning and explainable AI for improved pneumonia prediction utilizing GAN-augmented chest X-ray data.

PloS one
Pneumonia, a severe lung infection caused by various viruses, presents significant challenges in diagnosis and treatment due to its similarities with other respiratory conditions. Additionally, the need to protect patient privacy complicates the shar... read more 

Variability in reported midpoints of (in)activation of cardiac INa.

The Journal of general physiology
Electrically active cells like cardiomyocytes show variability in their size, shape, and electrical activity. But should we expect variability in the properties of their ionic currents? In this meta-analysis, we gather and visualize measurements of t... read more 

Machine Learning Prediction of Financial Toxicity in Patients with Resected Lung Cancer.

Journal of the American College of Surgeons
BACKGROUND: Financial toxicity (FT) refers to the financial stress and detrimental impact on quality of life experienced by patients due to treatment cost. In patients with resected lung cancer (LC), we sought to identify those at risk of developing ... read more 

Quantifying tolerances or maximum residue limits of pesticide in food commodities via deep neural networks.

Pest management science
BACKGROUND: Quantifying tolerances or legal maximum residue limits (MRLs) of pesticide in/on food commodities is of significance to enforce the surveillance of food safety/quality and good agricultural practices (GAP). Current in silico models mostly... read more 

Fibrous Pressure Sensor with Unique Resistance Increase under Partial Compression: Coaxial Wet-Spun TiO/Graphene/Thermoplastic Polyurethane Multi-Wall Multifunctional Fiber.

Advanced materials (Deerfield Beach, Fla.)
Fiber-shaped resistive pressure-sensitive sensors are rare. Although fibers are widely used in strain sensors owing to their structural advantages, developing fiber-shaped resistive pressure sensors is challenging. This challenge arises because the f... read more