Artificial Intelligence Medical Compendium

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

Showing 701 to 710 of 200,021 articles

Interpretable Deep Regression Models With Interval-Censored Failure Time Data.

Statistics in medicine
Deep neural networks (DNNs) have become powerful tools for modeling complex data structures through sequentially integrating simple functions in each hidden layer. In survival analysis, recent advances of DNNs primarily focus on enhancing model capab... read more 

Pandemic emergency: A multi-level AI framework for analyzing psychological impact through public discourse.

Applied psychology. Health and well-being
Emergency management has become a widely discussed topic in recent years, particularly in relation to different types of emergencies such as climate change, natural disasters, public health, and armed conflicts. The Covid-19 pandemic has triggered un... read more 

Structural Nested Mean Models for Modified Treatment Policies.

Statistics in medicine
There is a growing literature on estimating effects of treatment strategies based on the natural treatment that would have been received in the absence of intervention, often dubbed "modified treatment policies" (MTPs). MTPs are sometimes of interest... read more 

From Forecast to Action: A Deep Learning Model for Predicting Power Outages During Tropical Cyclones.

Risk analysis : an official publication of the Society for Risk Analysis
Power outages caused by tropical cyclones (TCs) pose serious risks to electric power systems and the communities they serve. Accurate, high-resolution outage forecasting is therefore critical for both proactive mitigation planning and real-time emerg... read more 

Preparing Midwives for the Digital Future: A Qualitative Study on Academic Midwives' Perspectives on Artificial Intelligence in Education.

Journal of evaluation in clinical practice
AIM: The aim of this study was to explore the perspectives of midwifery academics regarding the integration of Artificial Intelligence (AI) into midwifery education. BACKGROUND: AI is increasingly transforming healthcare education by supporting simul... read more 

Artificial Intelligence in Medicine: Basic Knowledge, Applications, Ethics and Perspectives.

Journal of evaluation in clinical practice
BACKGROUND: Artificial intelligence (AI) is rapidly transforming medicine through advanced diagnostic, prognostic, and decision-support systems. OBJECTIVE: To summarize the fundamental concepts, clinical applications, ethical issues, and future persp... read more 

Artificial Intelligence for Invasion-Depth Prediction in Colorectal Cancer: From Technical Promise to Clinically Credible Support.

Digestive endoscopy : official journal of the Japan Gastroenterological Endoscopy Society
read more 

Artificial Intelligence-Based Objective Evaluation of Nerve-Sparing Status Combined With Preserved Urethral Length Predicts Urinary Continence Recovery After Robot-Assisted Radical Prostatectomy.

International journal of urology : official journal of the Japanese Urological Association
OBJECTIVES: To evaluate nerve-sparing status objectively using an artificial intelligence method applied to intraoperative images and to determine whether combining this assessment with preserved urethral length improves prediction of urinary contine... read more 

Artificial Intelligence, Optimization, and Modeling Techniques in Water Resources Management: Challenges and Future Directions.

Water environment research : a research publication of the Water Environment Federation
The novelty of this work lies in its comprehensive investigation of six major elements of water resources management (watershed models, surrogate models, optimization techniques, Artificial Intelligence (AI), Decision Support Systems (DSS), and monit... read more 

Fully Automated Quantification of Functional Small Airway Disease at Inspiratory and Expiratory Chest CT Using Deep Learning.

Radiology. Cardiothoracic imaging
Purpose To evaluate the accuracy and time efficiency of a deep learning (DL)-based tool for automated quantification of functional small airway disease (fSAD) at chest CT compared with a conventional semimanual method. Materials and Methods This retr... read more