Artificial Intelligence Medical Compendium

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

Showing 7,171 to 7,180 of 206,272 articles

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 

Impact of Previous Abdominal Surgery on the Outcomes of Robotic Resection for Colorectal Cancer: An Analysis of Conversions, Short-Term Outcomes and Quality of Oncologic Resections.

The international journal of medical robotics + computer assisted surgery : MRCAS
BACKGROUND: This study investigated the impact of previous abdominal surgery (PAS) on short-term outcomes in robotic resection for colorectal cancer. METHODS: 517 patients with colon or rectal cancer undergoing robotic resection between 2014 and 2024... read more 

Use of biomolecular emulator for characterizing flexible proteins by small-angle x-ray scattering.

Protein science : a publication of the Protein Society
Flexible proteins populate heterogeneous conformational ensembles that are essential for their function. Small-angle x-ray scattering (SAXS) is widely used to study protein structure in solution and to characterize conformational heterogeneity. Yet, ... read more 

Artificial intelligence-assisted visualization of the dissection plane during robotic right colectomy using a duodenum-first approach: A video vignette.

Colorectal disease : the official journal of the Association of Coloproctology of Great Britain and Ireland
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HKD-CPI: high-order knowledge distillation enhanced inductive compound-protein interaction prediction.

Bioinformatics (Oxford, England)
MOTIVATION: Accurately identifying compound-protein interactions (CPIs) is critical for accelerating drug discovery. Recent deep learning methods have achieved impressive results, yet they primarily focus on local structures and neighborhood informat... read more 

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