Artificial Intelligence Medical Compendium

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

Showing 30,981 to 30,990 of 220,293 articles

Speaking Patient's Language: Assessment of Readability and Fidelity of Artificial Intelligence-Optimized Consent Forms.

The Journal of surgical research
INTRODUCTION: Informed consent requires patients to fully comprehend the risks, benefits, and alternatives of an intervention. The American Medical Association and the National Institutes of Health recommend patient-facing materials be written at a s... read more 

Machine learning-driven source apportionment and health risk assessment of multi-source groundwater pollution in highly permeable aquifers: A case study in Southwest China.

Journal of environmental management
Industrial expansion releases multiple pollutants into groundwater, whose migration in highly permeable aquifers is governed by rapid flow through coarse sediments or fractured bedrock. This dynamic flow disperses and blends contaminant plumes from d... read more 

A tri-modal contrastive learning framework for protein representation learning.

Cell reports methods
Protein foundation models, particularly protein language models, have shown strong success in learning meaningful protein representations using transformer architectures pretrained on large-scale datasets through self-supervised learning. These repre... read more 

Lower pre-treatment TMS-evoked cortical reactivity and alpha-band oscillatory dynamics predict efficacy of primary motor cortex neuromodulation for chronic pain.

NeuroImage
Repetitive transcranial magnetic stimulation (rTMS) to the primary motor cortex (M1) provides significant pain relief in ∼45% of chronic pain patients. Identifying biomarkers that predict treatment response before starting rTMS is essential for guidi... read more 

AI-enabled autonomous UV-C device pathogen reduction within clinically relevant parameters.

American journal of infection control
Wall-mounted UV-C disinfection systems present a promising alternative to robotic approaches for pathogen reduction. We sought to determine the pathogen-reduction efficacy of such devices when operated at a distance, mimicking real-world applications... read more 

Likelihood-free parameter inference for spatiotemporal stochastic biological models using neural posterior estimation.

Journal of theoretical biology
Cell migration is a key biological process underlying wound healing, tissue development, and cancer metastasis, yet calibrating mathematical models of migration to experimental data remains a major challenge. Scratch and barrier assays are widely use... read more 

Classification and stratification of patient pain archetypes following total knee arthroplasty: a machine learning approach.

Regional anesthesia and pain medicine
BACKGROUND: Up to 20% of total knee arthroplasty (TKA) patients experience significant postoperative pain that delays recovery and increases risk of chronic pain. Early identification of high-risk patients may allow for timely targeted interventions.... read more 

Evaluating the performance of large language models versus prosthodontic residents on the 2024 and 2025 National Prosthodontic Resident Examination.

The Journal of prosthetic dentistry
STATEMENT OF PROBLEM: Recent advancements in large language models (LLMs) offer expanded reasoning, multimodal processing, and improved factual grounding. However, their performance relative to prosthodontic residents remains unknown, and comparisons... read more 

Whither symbols in the era of advanced neural networks?

Trends in cognitive sciences
Some of the strongest evidence that human minds should be thought of in terms of symbolic systems has been the way they combine ideas, produce novelty, and learn quickly. We argue that modern neural networks-and the artificial intelligence systems bu... read more 

Ethical Considerations for Artificial Intelligence Tools in Small Animal Veterinary Medicine.

The Veterinary clinics of North America. Small animal practice
As veterinary artificial intelligence (AI) tools become more available, it is vital to ensure that they genuinely promote patient well-being and avoid harm. This article examines the ethics of AI in small animal veterinary medicine, considering both ... read more