Artificial Intelligence Medical Compendium

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

Showing 201 to 210 of 156,985 articles

When and where soil dryness matters to ecosystem photosynthesis.

Nature plants
Projected increases in the intensity and frequency of droughts in the twenty-first century are expected to cause a substantial negative impact on terrestrial gross primary productivity (GPP). Yet, the relative role of soil water supply (indicated by ...

Micrographia in Parkinson's Disease: Automatic Recognition through Artificial Intelligence.

Movement disorders clinical practice
BACKGROUND: Parkinson's disease (PD) leads to handwriting abnormalities primarily characterized by micrographia. Whether micrographia manifests early in PD, worsens throughout the disease, and lastly responds to L-Dopa is still under scientific debat...

Efficient Unlearning with Privacy Guarantees

arXiv
Privacy protection laws, such as the GDPR, grant individuals the right to request the forgetting of their personal data not only from databases but also from machine learning (ML) models trained on them. Machine unlearning has emerged as a practica...

A semi supervised framework for human and machine collaboration in computer assisted text refinement.

Scientific reports
Human writing often exhibits a range of styles and levels of sophistication. However, automated text generation systems typically lack the nuanced understanding required to produce refined and elegant prose. Due to the inherent one-to-many relationsh...

Role of artificial intelligence in ICU therapeutic decision-making for severe infections.

Current opinion in critical care
PURPOSE OF REVIEW: To discuss current and future role of artificial intelligence in predicting severe infections and supporting decisions on antibiotic treatment in critically ill patients in intensive care units (ICU), focusing in particular on some...

PRIME: Large Language Model Personalization with Cognitive Memory and Thought Processes

arXiv
Large language model (LLM) personalization aims to align model outputs with individuals' unique preferences and opinions. While recent efforts have implemented various personalization methods, a unified theoretical framework that can systematically...

LAID: Lightweight AI-Generated Image Detection in Spatial and Spectral Domains

arXiv
The recent proliferation of photorealistic AI-generated images (AIGI) has raised urgent concerns about their potential misuse, particularly on social media platforms. Current state-of-the-art AIGI detection methods typically rely on large, deep neu...

"This Suits You the Best": Query Focused Comparative Explainable Summarization

arXiv
Product recommendations inherently involve comparisons, yet traditional opinion summarization often fails to provide holistic comparative insights. We propose the novel task of generating Query-Focused Comparative Explainable Summaries (QF-CES) usi...

AI-Driven Cytomorphology Image Synthesis for Medical Diagnostics

arXiv
Biomedical datasets often contain a large sample imbalance and are subject to strict privacy constraints, which together hinder the development of accurate machine learning models. One potential solution is to generate synthetic images, as this can...