AI Medical Compendium

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

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An exploratory analysis of longitudinal artificial intelligence for cognitive fatigue detection using neurophysiological based biosignal data.

Scientific reports
Cognitive fatigue is a psychological condition characterized by opinions of fatigue and weakened cognitive functioning owing to constant stress. Cognitive fatigue is a critical condition that can significantly impair attention and performance, among ...

From image to insight deep learning solutions for accurate identification and object detection of Acorus species slices.

Scientific reports
Given the morphological similarity and medicinal efficacy differences between Acorus tatarinowii Rhizoma and Acorus calamus Rhizoma, both belonging to the Acorus rhizome slices, as well as the phenomenon of their mixed use in the market, this study a...

Detection of flap malperfusion after microsurgical tissue reconstruction using hyperspectral imaging and machine learning.

Scientific reports
Hyperspectral imaging (HSI) has shown significant diagnostic potential for both intra- and postoperative perfusion assessment. The purpose of this study was to combine machine learning and neural networks with HSI to develop a method for detecting fl...

Optimizing non small cell lung cancer detection with convolutional neural networks and differential augmentation.

Scientific reports
Lung cancer remains one of the leading causes of cancer-related deaths worldwide, with early detection being critical to improving patient outcomes. Recent advancements in deep learning have shown promise in enhancing diagnostic accuracy, particularl...

Behavior recognition technology based on deep learning used in pediatric behavioral audiometry.

Scientific reports
This study aims to explore the feasibility and accuracy of deep learning-based pediatric behavioral audiometry. The research provides a dedicated pediatric posture detection dataset, which contains a large number of video clips from children's behavi...

Integrating SAM priors with U-Net for enhanced multiclass cell detection in digital pathology.

Scientific reports
In digital pathology, the accurate detection, segmentation, and classification of cells are pivotal for precise pathological diagnosis. Traditionally, pathologists manually segment cells from pathological images to facilitate diagnosis based on these...

Dense dynamic convolutional network for Bel canto vocal technique assessment.

Scientific reports
The Bel Canto performance is a complex and multidimensional art form encompassing pitch, timbre, technique, and affective expression. To accurately reflect a performer's singing proficiency, it is essential to quantify and evaluate their vocal techni...

A study on factors influencing digital sports participation among Chinese secondary school students based on explainable machine learning.

Scientific reports
This study utilized data from 4,925 Hong Kong students in the 2018 Programme for International Student Assessment (PISA) to investigate factors influencing secondary school students' use of digital devices for sports participation and their threshold...

Integrating generative AI and machine learning classifiers for solving heterogenous MCGDM: a case of employee churn prediction.

Scientific reports
Employee churn is a critical issue for companies and organizations, as it directly impacts productivity, efficiency, and overall operational success. High turnover rates increase recruitment and training costs, and disrupt workflows, making it a top ...

Cognitive bias in generative AI influences religious education.

Scientific reports
This study explores the transformative role of generative artificial intelligence (AI) in shaping religious cognition, with particular emphasis on its implications for religious education. By examining the biases inherent in AI-generated content, thi...