AI Outperforms Humans in Identifying Intestinal Parasites in Stool Samples
AI surpasses human accuracy in detecting intestinal parasites in stool samples, enhancing diagnostic capabilities in laboratories. π¦ π
November 11, 2025
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Discover the newest research about AI innovations in π€ Machine Learning.
Developing a transfer learning model for the prediction of Down syndrome from first-trimester ultrasound images.
AI model predicts Down syndrome from first-trimester ultrasounds with 98.3% accuracy! π€π Key features: nuchal translucency & nasal bone.
November 11, 2025
Personalized Approaches to Cancer Vaccines Using AI
AI aids in developing personalized cancer vaccines by identifying neoantigens, enhancing immune response against tumors. π§¬π
November 10, 2025
Deep learning-assisted aortic stenosis detection and grading based on multiview versus single-view echocardiography.
Deep learning enhances aortic stenosis detection: AUC 0.942, severe AS AUC 0.976. Promising for clinical workflows! πβ€οΈ
November 10, 2025
Developments in diagnosis and treatment of early hypopharyngeal carcinoma and precancerous lesions: A review.
Early hypopharyngeal carcinoma: AI and ME-NBI enhance detection; minimally invasive surgery improves outcomes. ππ
November 9, 2025
ResNet-EfficientNet powered framework for high-precision cough-based classification of infectious diseases.
Deep learning models like ResNet achieve 98.5% accuracy in COVID-19 cough sound classification. ππ€
November 8, 2025
A Prompt Engineering Framework for Large Language Model-Based Mental Health Chatbots: Conceptual Framework.
Exploring MIND-SAFE: A Framework for Ethical AI in Mental Health Chatbots π€π§
November 8, 2025
Children’s drug research and development incentives and market pricing optimization based on medical imaging.
Children’s drug development: 32.7% tumor reduction via imaging data. Optimized pricing ensures accessibility and R&D efficiency. ππ
November 7, 2025
Cracking the code: a head-to-head comparison of expert clinicians and artificial intelligence in diagnosing rare diseases.
AI vs. Clinicians: 28% Diagnosis Match in Rare Diseases π€π©Ί
November 7, 2025
Factors influencing Home Care Nurses’ Behavioral Intension to Use Digital Healthcare.
Home care nurses show strong intent to adopt digital healthcare, influenced by social support and effort expectancy. ππ»
November 6, 2025