AI Medical Compendium

Which perceptual categories do observers experience during multistable perception?

Proceedings. Biological sciences Feb 18, 2026

Multistable perceptual phenomena provide insights into the mind's dynamic states within a stable external environment, and the neural underpinnings of these consciousness changes are often studied with binocular rivalry (BR). Conventional methods to ... read more

Deep transfer learning based image colorization using VGG19 and CLAHE.

Scientific reports Feb 18, 2026

Image colorization transforms grayscale images into realistic color representations. It is a challenging area of research in computer vision due to uncertainty in mapping intensity values to chromatic information. Earlier approaches, often based on o... read more

A thermal resistance prediction model for heterogeneous integrated chips incorporating an AI-based BP neural network.

Scientific reports Feb 18, 2026

Explainable AI in education: integrating educational domain knowledge into the deep learning model for improved student performance prediction.

Scientific reports Feb 18, 2026

Although deep learning models, especially the Artificial Neural Network (ANN), are widely used for student performance prediction, their "black-box" nature often leads to unreliable learned relationships that contradict educational domain knowledge, ... read more

Clinical value of artificial intelligence in reducing PET image acquisition time: routine clinical validation using qualitative, quantitative, and radiomic analysis on a cohort of 282 patients undergoing [18F]FDG and [68Ga]Ga-PSMA-11 PET/CT.

EJNMMI physics Feb 18, 2026

BACKGROUND: Reducing acquisition time in PET/CT imaging can degrade image quality and may compromise both diagnostic reliability and the robustness of radiomic features. This study investigates, in a large clinical cohort, whether AI-based denoising ... read more

Intelligent fire detection in agriculture using machine learning and embedded systems for risk prevention and improved sustainability.

Scientific reports Feb 18, 2026

This research proposes the design of an autonomous fire detection system based on a Raspberry Pi 3 B+, combined with smoke and flame sensors, enabling real-time monitoring and increased reactivity to fire hazards. To improve detection accuracy and ri... read more

Exploration of an interpretable machine learning-based screening manner for low muscle mass among Chinese community-dwelling older adults using routine physical examination information.

BMC geriatrics Feb 18, 2026

BACKGROUND: With the accelerating aging of the global population, muscle health issue occurs commonly as an age-related process in older people. The conventional low muscle mass screening and diagnosis reliant on bulky and costly instruments, remain ... read more

Identifying past-year self-reported suicidality in outpatients with somatic symptom disorder using an interpretable machine-learning model: a multicenter study with an online calculator.

BMC psychiatry Feb 18, 2026

BACKGROUND: Somatic symptom disorder (SSD) is associated with an elevated risk of suicidality. However, clinically implementable tools to identify outpatients with SSD who may warrant prioritized suicidality assessment remain limited. We therefore ai... read more

Exploring the use of AI methods and chatbots in medical education among medical students in Jordan: a cross-sectional study.

BMC medical education Feb 18, 2026

Brain age prediction in a multiethnic Asian population: A comparison of machine learning algorithms and their application for early-stage cognitive impairment diagnosis.

Journal of Alzheimer's disease : JAD Feb 18, 2026

BackgroundNeuroimaging-derived brain age is a promising biomarker of early neurodegeneration, but methodological variation in machine learning (ML) algorithms and input features as well as scarce evidence from various ethnic populations limit clinica... read more

Artificial Intelligence Medical Compendium

Which perceptual categories do observers experience during multistable perception?

Deep transfer learning based image colorization using VGG19 and CLAHE.

A thermal resistance prediction model for heterogeneous integrated chips incorporating an AI-based BP neural network.

Explainable AI in education: integrating educational domain knowledge into the deep learning model for improved student performance prediction.

Clinical value of artificial intelligence in reducing PET image acquisition time: routine clinical validation using qualitative, quantitative, and radiomic analysis on a cohort of 282 patients undergoing [18F]FDG and [68Ga]Ga-PSMA-11 PET/CT.

Intelligent fire detection in agriculture using machine learning and embedded systems for risk prevention and improved sustainability.

Exploration of an interpretable machine learning-based screening manner for low muscle mass among Chinese community-dwelling older adults using routine physical examination information.

Identifying past-year self-reported suicidality in outpatients with somatic symptom disorder using an interpretable machine-learning model: a multicenter study with an online calculator.

Exploring the use of AI methods and chatbots in medical education among medical students in Jordan: a cross-sectional study.

Brain age prediction in a multiethnic Asian population: A comparison of machine learning algorithms and their application for early-stage cognitive impairment diagnosis.

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