AI Medical Compendium

An ensemble-based sentiment analysis approach for precision medicine recommendation.

Scientific reports Apr 24, 2026

The rapid growth of online healthcare platforms has resulted in an unprecedented volume of patient-generated medical reviews, creating new opportunities for the development of intelligent and personalized medicine recommendation systems. However, ext... read more

Deep learning for predicting pituitary neuroendocrine tumour lineage and high-risk subtypes from histology.

NPJ precision oncology Apr 24, 2026

Pituitary neuroendocrine tumours (PitNETs) exhibit significant heterogeneity, posing challenges for clinical management. We developed a deep learning model to predict PitNET lineage, high-risk subtypes, and recurrence directly from routine H&E-staine... read more

Hybrid diagnostic framework for bone cancer detection using deep learning and radiomics analysis.

Scientific reports Apr 24, 2026

Currently, bone cancer remains a big challenge in healthcare, early and accurate diagnosis is therefore key to achieving the required treatment outcomes. To this end, this research attempts to present a novel hybrid framework, i.e. TriMedNet, which w... read more

Predicting the evolutionary and structural compensation in Tat ARM region across HIV-1 groups using machine learning approach.

Scientific reports Apr 24, 2026

Prediction of the respiratory disease incidence based on environmental factors using machine learning techniques in Penang, Malaysia.

Scientific reports Apr 24, 2026

Traditional statistical models often struggle to accurately predict global burden of respiratory diseases due to the complex and interdependent nature of environmental variables. To address these challenges, this study aims to develop and evaluate ma... read more

Automated estimation of drain output in postoperative patients using deep learning on clinical images.

Scientific reports Apr 24, 2026

Postoperative drains are essential components of care in general surgery and intensive care units, where accurate monitoring of drain output is critical for detecting complications such as hemorrhage, anastomotic leakage, or infection. Despite its im... read more

The impact of artificial intelligence-based emotional support tools on anxiety and stress levels in high-risk pregnant women.

Scientific reports Apr 24, 2026

Frequency-adaptive deep learning for multi-horizon weather forecasting in environmental monitoring applications.

Scientific reports Apr 24, 2026

Analysis and comparison of two selected machine learning algorithms for enhancing wireless sensor network protocols.

Scientific reports Apr 24, 2026

Graph theory reveals functional connectome disruptions in adolescent major depressive disorder with childhood trauma.

Communications medicine Apr 24, 2026

BACKGROUND: Childhood trauma (CT) is a major risk factor for adolescent major depressive disorder (MDD), yet its neurobiological underpinnings and longitudinal treatment effects remain poorly characterized. METHODS: Leveraging graph theory and restin... read more

Artificial Intelligence Medical Compendium

An ensemble-based sentiment analysis approach for precision medicine recommendation.

Deep learning for predicting pituitary neuroendocrine tumour lineage and high-risk subtypes from histology.

Hybrid diagnostic framework for bone cancer detection using deep learning and radiomics analysis.

Predicting the evolutionary and structural compensation in Tat ARM region across HIV-1 groups using machine learning approach.

Prediction of the respiratory disease incidence based on environmental factors using machine learning techniques in Penang, Malaysia.

Automated estimation of drain output in postoperative patients using deep learning on clinical images.

The impact of artificial intelligence-based emotional support tools on anxiety and stress levels in high-risk pregnant women.

Frequency-adaptive deep learning for multi-horizon weather forecasting in environmental monitoring applications.

Analysis and comparison of two selected machine learning algorithms for enhancing wireless sensor network protocols.

Graph theory reveals functional connectome disruptions in adolescent major depressive disorder with childhood trauma.

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Artificial Intelligence Medical Compendium

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