Artificial Intelligence Medical Compendium

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

Showing 29,561 to 29,570 of 219,931 articles

Addressing Small Data Challenges in Biopharmaceutical Development and Manufacturing: A Mini Review of Multi-Fidelity Techniques.

Biotechnology and bioengineering
The growing demand for biopharmaceutical products reflects their effectiveness in medical treatments. However, developing new biopharmaceuticals remains a major bottleneck, often taking up to a decade before market approval. Machine learning (ML) mod... read more 

Pre-Imaging Clinical Factors Associated With Cardiac MR Image Quality Using Large Language Model-Enabled Data Extraction.

Journal of magnetic resonance imaging : JMRI
BACKGROUND: Poor cardiac MR image quality can prompt repeat examinations and hinder clinical decision-making. PURPOSE: To evaluate whether pre-imaging clinical information, extracted using a large language model (LLM), is independently associated wit... read more 

From Time-Limited Therapy to Treatment-Free Observation: The Evolving Role of MRD in CLL Management.

European journal of haematology
The integration of measurable residual disease (MRD) into the management of chronic lymphocytic leukemia (CLL) has emerged as a major advance in risk stratification and trial design, particularly in the context of time-limited, targeted regimens. Hig... read more 

Integrating Cascade Mechanistic Insights into Structure-Activity Relationships for Quantitative Mode-of-Action Analysis: A Novel Risk Assessment Framework for OPFRs.

Environmental science & technology
Organophosphate flame retardants (OPFRs), as emerging substitutes for halogenated flame retardants, are widely detected in populations and pose global health concerns. However, their structural diversity and expanding numbers challenge conventional e... read more 

Ethics in the evaluation of the quality of scientific research: An AIOM-TJ roundtable.

Tumori
The current scientific ecosystem is characterized by a systemic crisis driven by the Publish or Perish culture and an exponential growth in publication volumes that outpaces the number of active researchers. Here, we highlight the limitations of trad... read more 

A motor thalamic site in humans that suppresses involuntary breathing without awareness.

Journal of neurophysiology
Breathing is generated by brainstem respiratory networks but can be controlled and modulated by forebrain activity. The recent clinical adoption of thalamic electrode implantation during intracranial electroencephalography (iEEG) provides a rare oppo... read more 

Self-Supervised Deep Learning Framework for Rician Distribution Based Denoising and Modeling of Multi-b Prostate Diffusion MRI.

Magnetic resonance in medicine
PURPOSE: Convolutional neural networks (CNNs) are evaluated for improved and accelerated denoising and Rician bias correction in multi-b DW images with simultaneous signal modeling. METHODS: Prostate diffusion images from 46 individuals acquired at 2... read more 

Artificial Intelligence in Surgical Education: A Pilot Study Using ASCRS Guideline-Derived Questions.

The American surgeon
BackgroundLarge language models (LLMs) have demonstrated strong performance on general medical and surgical examinations; however, their capacity to accurately interpret and apply subspecialty clinical practice guidelines remains incompletely charact... read more 

Advancing precision medicine in pancreatic cancer using novel biomarkers and clinical targets.

Molecular aspects of medicine
Precision-guided therapy is imperative in the battle against pancreatic ductal adenocarcinoma (PDAC), one of the most lethal solid malignancies with limited improvements in survival despite advances in molecular profiling and systemic therapy. While ... read more 

GRaph-based analysis for stroke prediction (GRASP): A multi-modal model for identifying first ischemic stroke in high-risk population using UK biobank.

Computers in biology and medicine
BACKGROUND: Ischemic stroke accounts for 3.71 million deaths annually worldwide. Yet current risk prediction models demonstrate modest discrimination with reported C-statistics typically ranging from 0.63 to 0.75 and cannot reliably identify which in... read more