Artificial Intelligence Medical Compendium

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

Showing 55,641 to 55,650 of 226,731 articles

The effects of human training data (HTD) explanation on purchase intention for artificial intelligence (AI) technologies.

PloS one Feb 2, 2026
Consumers exhibit resistance to Artificial Intelligence (AI) technologies despite their widespread deployment. One common thread linking various reasons for this is the perceptions of AI technologies' lack of inherent human qualities. This paper expl... read more 

Accurate time-series forecasting of floating platform motion via a reinforced fusion CNN-BiLSTM-attention model.

PloS one Feb 2, 2026
Accurate motion prediction of floating platforms is critical for ensuring operational safety in offshore engineering applications or marine equipment testing. However, the strong nonlinearity and non-stationary characteristics induced by complex mari... read more 

Single cell RNA sequencing analysis and molecular biology experiments identify NAFLD-related fibroblasts and highlights seven hub genes in NAFLD.

PloS one Feb 2, 2026
BACKGROUND: The Nonalcoholic fatty liver disease (NAFLD) is a major chronic liver condition, with its pathology remaining elusive. Consequently, a thorough exploration of the underlying mechanisms driving NAFLD progression is essential for a comprehe... read more 

Human-anchored longitudinal comparison of generative AI with a bias-calibrated LLM-as-judge.

PloS one Feb 2, 2026
Service LLMs evolve without public changelogs, complicating reproducible evaluation. We present a preregistered human-anchored longitudinal study that tracks three major model families over ten weekly waves using a fixed prompt bank (N = 240) across ... read more 

Machine learning for the diagnosis of fibromyalgia based on magnetic resonance imaging.

PloS one Feb 2, 2026
The clinical diagnosis of fibromyalgia (FM), a syndrome characterized by generalized pain, is challenging due to its unknown etiology and frequent comorbidity with other diseases. As a noninvasive modality, functional magnetic resonance imaging has b... read more 

Structural damage detection and safety assessment method based on machine vision and machine learning.

PloS one Feb 2, 2026
Structural damage detection and health assessment are crucial for maintaining infrastructure safety and durability. This study presents a novel multi-scale vision-based framework that combines deep learning and machine learning for accurate and inter... read more 

National data meets AI: Machine learning for predicting overweight/obesity among ever-married Bangladeshi women.

PloS one Feb 2, 2026
Overweight/obesity has become a critical global health issue, as these conditions are strongly associated with elevated risk of diabetes, stroke, cardiovascular disorders, and certain types of cancer. In recent decades, Bangladesh has faced a notable... read more 

Learning genetic perturbation effects with variational causal inference.

PLoS computational biology Feb 2, 2026
Advances in sequencing technologies have enhanced the understanding of gene regulation in cells. In particular, Perturb-seq has enabled high-resolution profiling of the transcriptomic response to genetic perturbations at the single-cell level. This u... read more 

Autapses enable temporal pattern recognition in spiking neural networks.

PloS one Feb 2, 2026
Most sensory stimuli are temporal in structure. How action potentials encode the information incoming from sensory stimuli remains one of the central research questions in neuroscience. Precise spike timing is known to represent information in spikin... read more 

Model-free prognostication of non-linear time series.

PloS one Feb 2, 2026
OBJECTIVE: The COVID-19 pandemic has highlighted the importance of studying the course of infectious progression. Similar needs exist for time series of other origins. While models are commonly devised and fitted to the observed data, we recently dem... read more 
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