Artificial Intelligence Medical Compendium

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

Showing 9,451 to 9,460 of 208,566 articles

Phase-Transition-Coupled Optical-Electrical Dual-Channel Thermochromic Temperature Sensor: Wood-Derived Porous Framework for Data-Driven Wide-Range Quantitative Monitoring.

ACS applied materials & interfaces
The development of multifunctional temperature sensors capable of simultaneous visual indication and quantitative readout remains challenging, particularly within bioderived porous materials that often suffer from structural instability and limited s... read more 

StruCloze: A Unified Framework for Backmapping and Inpainting Biomolecule Structures.

Journal of chemical theory and computation
Atomistic resolution is essential for understanding biomolecular structure and function, yet coarse-grained (CG) models remain indispensable for simulating large and dynamic systems. Reconstructing accurate all-atom structures from CG representations... read more 

Conceptualization, Contexts, and Measurement of Nursing Theoretical Literacy: Protocol for a Scoping Review.

JMIR research protocols
BACKGROUND: Nursing theory and conceptual models are central to nursing as a knowledge discipline, yet theory is often perceived as abstract and difficult to operationalize in education and practice. This theory-practice tension suggests variability ... read more 

Time-updated explainable machine learning predicts short-term mortality in peritoneal dialysis patients.

Renal failure
Objective: This study aimed to develop and validate a time-updated, explainable machine learning (ML) early-warning system for short-term mortality risk in patients with continuous ambulatory peritoneal dialysis (CAPD). Methods: Multiple supervised M... read more 

A machine learning-based interpretable model for predicting pancreatic cancer in chronic pancreatitis patients with focal pancreatic lesions.

BMC cancer
BACKGROUND: Pancreatic cancer (PC) is deadly and distinguishing it from inflammatory conditions in chronic pancreatitis (CP) patients is challenging. We aimed to develop machine learning models to predict PC in CP patients with focal pancreatic lesio... read more 

AI-assisted health management and older adults' autonomy: an empirical ethics study of privacy, algorithmic reliance, and relational dynamics.

BMC health services research
BACKGROUND: AI-assisted health management is increasingly integrated into healthcare practices for older adults, offering new possibilities for continuous monitoring and personalized care. However, these technologies also raise significant ethical co... read more 

Machine learning-based prognostic model integrating preoperative HALP score and lactate dehydrogenase for predicting postoperative recurrence of prostate cancer.

World journal of surgical oncology
OBJECTIVE: Postoperative biochemical recurrence (BCR) of prostate cancer (PCa) remains a major clinical challenge, and traditional risk assessment systems show suboptimal predictive performance for PCa recurrence. This study aimed to develop and vali... read more 

The AI inversion model: a linear negative-constraint framework for auditable alignment in medical decision-making.

BMC medical ethics
The integration of artificial intelligence (AI) into healthcare systems is increasingly hindered by the AI alignment problem. In high-stakes domains such as clinical triage, algorithms frequently reflect and amplify systemic biases. Current alignment... read more 

Development and validation of the Dental Artificial Intelligence Readiness and Acceptance Instrument (DAI-RAI) for dental professionals.

BMC oral health
BACKGROUND: Artificial intelligence (AI), including applications such as radiographic image analysis, caries detection, and treatment planning, is increasingly integrated into dental diagnostics, education, and clinical workflows. However, validated ... read more