AIMC Topic: Adult

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An automated classification of brain white matter inherited disorders (Leukodystrophy) using MRI image features.

Biomedical physics & engineering express
Leukodystrophies are a group of inherited disorders that predominantly and selectively affect the white matter of the central nervous system. Their overlapping clinical and imaging manifestations make a timely and accurate diagnosis challenging. In t...

Advances in deep reinforcement learning enable better predictions of human behavior in time-continuous tasks.

PloS one
Humans have to respond to everyday tasks with goal-directed actions in complex and time-continuous environments. However, modeling human behavior in such environments has been challenging. Deep Q-networks (DQNs), an application of deep learning used ...

Maternal lipidomic signatures of preterm and small-for-gestational-age newborn infants in low- and middle-income countries.

Science advances
Maternal lipid levels change dynamically during gestation to support normal fetal growth. To obtain a detailed footprint of these changes and their differences in pregnancies with preterm or small-for-gestational-age (SGA) neonates, we analyzed 641 l...

Using generative AI for the objective assessment of language in healthcare.

Scientific reports
Traditional methods for language assessment in psychiatric and neurological disorders, such as clinical scales, are time and resource intensive, and can be hampered by rater biases and subjectivity. These limitations can compromise their reliability ...

Upper-limb rehabilitation interventions delivered by healthcare professionals for adult patients in the intensive care unit setting: protocol for a scoping review.

BMJ open
INTRODUCTION: Post-intensive care syndrome affects up to 70% of adult intensive care unit (ICU) survivors, with ICU-acquired weakness contributing substantially to long-term disability. Despite evidence supporting early and structured rehabilitation ...

Feasibility of a Specialized Large Language Model for Postgraduate Medical Examination Preparation: Single-Center Proof-Of-Concept Study.

JMIR formative research
BACKGROUND: Large language models (LLMs) are increasingly used in medical education for feedback and grading; yet their role in postgraduate examination preparation remains uncertain due to inconsistent grading, hallucinations, and user acceptance.

Patient perspectives on artificial intelligence in mammography interpretation: a comparative survey study of safety-net and academic hospital settings.

Breast cancer research and treatment
PURPOSE: To evaluate and compare patient perceptions of artificial intelligence (AI) use in mammogram interpretation across academic and safety-net healthcare settings.

Towards real-time non-invasive detection of hyperlipidemia through finger pulse image analysis using deep learning.

Biomedical physics & engineering express
Hyperlipidemia detection involves invasive, time-consuming procedures requiring clinical laboratories and blood samples. Often asymptomatic in its early stages, hyperlipidemia significantly increases the risk of cardiovascular diseases. The objective...

[Tc]Tc-Sestamibi/[Tc]NaTcO Subtraction SPECT of Parathyroid Glands Using Analysis of Principal Components.

Journal of nuclear medicine technology
The aim of the study was to validate a new method for semiautomatic subtraction of [Tc]Tc-sestamibi and [Tc]NaTcO SPECT 3-dimensional datasets using principal component analysis (PCA) against the results of parathyroid surgery and to compare its perf...

Comparison of Endotracheal Intubation Performance Using Video Laryngoscopy With and Without AI-Based Visual Assistance: A Manikin Pilot Study.

A&A practice
This study investigated whether artificial intelligence (AI)-based visual assistance in video laryngoscopy (VL) could be a solution to reduce the technique's learning curve. Twenty volunteers with no prior intubation experience were randomly assigned...