AI Medical Compendium

A Real-Time Signal-Based Wavelet Long Short-Term Memory Method for Length-of-Stay Prediction for the Intensive Care Unit: Development and Evaluation Study.

JMIR AI Aug 20, 2025

BACKGROUND: Efficient allocation of health care resources is essential for long-term hospital operation. Effective intensive care unit (ICU) management is essential for alleviating the financial strain on health care systems. Accurate prediction of l... read more

Surgeon, Trainee, or GPT? A Blinded Multicentric Study of AI-Augmented Operative Notes.

The Laryngoscope Aug 20, 2025

OBJECTIVES: Clear, complete operative documentation is essential for surgical safety, continuity of care, and medico-legal standards. Large language models such as ChatGPT offer promise for automating clinical documentation; however, their performanc... read more

Synergistic Modulation of Microglial Polarization by Acteoside and Ferulic Acid via Dual Targeting of Nrf2 and RORγt to Alleviate Depression-Associated Neuroinflammation.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Aug 20, 2025

Acteoside (ACT) and ferulic acid (FA), the principal bioactive constituents of Baihe Dihuang decoction (BDD), possess established anti-inflammatory and antidepressant properties, but their combined effect on microglial phenotype modulation remains un... read more

Personalized blood glucose prediction in type 1 diabetes using meta-learning with bidirectional long short term memory-transformer hybrid model.

Scientific reports Aug 20, 2025

Personalized blood glucose (BG) prediction in Type 1 Diabetes (T1D) is challenged by significant inter-patient heterogeneity. To address this, we propose BiT-MAML, a hybrid model combining a Bidirectional LSTM-Transformer with Model-Agnostic Meta-Lea... read more

Humans Machine Learning Precision Medicine Female Male Blood Glucose Diabetes Mellitus, Type 1 Long Short Term Memory

Micronutrients are associated with endoscopic postoperative recurrence in Crohn's disease: a multicenter prospective cohort study in North america.

Journal of Crohn's & colitis Aug 20, 2025

BACKGROUND AND AIMS: Diet may influence the disease course in inflammatory bowel disease, but its role in postoperative outcomes for Crohn's disease (CD) remains unclear. This study aimed to assess the association of macro- and micronutrient intake w... read more

Weed mapping using UAV imagery and AI techniques: current trends and challenges.

Pest management science Aug 20, 2025

Despite achieving accuracy rates of over 90% in recognizing weeds in crop fields using images captured by unmanned aerial vehicles (UAVs), challenges remain with embedded systems that perform automatic weed identification in real-time. The primary ob... read more

Evolution and integration of artificial intelligence across the cancer continuum in women: advances in risk assessment, prevention, and early detection.

Cancer causes & control : CCC Aug 20, 2025

PURPOSE: Artificial Intelligence (AI) is revolutionizing the prevention and control of breast cancer by improving risk assessment, prevention, and early diagnosis. Considering an emphasis on AI applications across the women's breast cancer spectrum, ... read more

Differentiation of Suspicious Microcalcifications Using Deep Learning: DCIS or IDC.

Academic radiology Aug 20, 2025

RATIONALE AND OBJECTIVES: To explore the value of a deep learning-based model in distinguishing between ductal carcinoma in situ (DCIS) and invasive ductal carcinoma (IDC) manifesting suspicious microcalcifications on mammography. read more

Attention-based deep learning network for predicting World Health Organization meningioma grade and Ki-67 expression based on magnetic resonance imaging.

European radiology Aug 20, 2025

OBJECTIVES: Preoperative assessment of World Health Organization (WHO) meningioma grading and Ki-67 expression is crucial for treatment strategies. We aimed to develop a fully automated attention-based deep learning network to predict WHO meningioma ... read more

Translating Artificial Intelligence Breakthroughs into Cancer Diagnostic Breakthroughs.

Cancer discovery Aug 20, 2025

The revolution of artificial intelligence has yet to find its way into clinical practice in oncology. We highlight eight specific challenges, focused on diagnostics, that will enable this translation once they are adequately addressed. read more

Artificial Intelligence Medical Compendium