Artificial Intelligence Medical Compendium

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

Showing 49,111 to 49,120 of 224,513 articles

Adaptive example selection for prototype based explainable mitosis detection in digital pathology.

Scientific reports Feb 18, 2026
Understanding the decision-making process of black-box neural networks is crucial for safe use of AI in high-stakes medical tasks such as histopathology. We present Adaptive Example Selection (AES), a prototype-based explainable AI framework that imp... read more 

Identification of molecular diagnostic markers and potential therapeutic drugs for Sjögren's syndrome.

Scientific reports Feb 18, 2026
Sjögren's Syndrome (SS) is a long-term autoimmune disorder marked by damage to exocrine glands and irregularities in the immune system. Currently, there is a significant lack of effective diagnostic biomarkers and targeted therapeutic options for thi... read more 

A framework for enhancing pharmaceutical integrity and patient safety: novel mobile health solution integrating smart packaging and computer vision.

Scientific reports Feb 18, 2026
Counterfeit and substandard pharmaceuticals represent a critical global health crisis, with the World Health Organisation (WHO) reporting that falsified medicines comprise 10% of the global pharmaceutical trade, constituting one of the fastest-growin... read more 

Edge machine learning over IoT for chipless RFID environmental sensing in smart agriculture.

Scientific reports Feb 18, 2026
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Interpretable machine learning and deep neural networks for ICU admission prediction in paediatric respiratory patients.

Scientific reports Feb 18, 2026
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Clustering-cum-regression based model and performance analysis for early prediction of heart disease.

Scientific reports Feb 18, 2026
In real-time health monitoring systems, Wireless Body Area Networks (WBAN) are widely recognized for collecting various disease parameters using sensors. The collected data can be used for the early prediction of diseases. To address the growing need... read more 

Addressing the balance between fairness and performance in glioma grade prediction using bias mitigation techniques.

Scientific reports Feb 18, 2026
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Opening the black box: explainable AI for automated bioturbation analysis in cores and outcrops.

Scientific reports Feb 18, 2026
The application of machine learning (ML) in geology has gained significant momentum over the past decade. Given the importance of visual interpretation in geological tasks such as lithological classification and trace fossil identification, automatin... read more 

Prediction of athlete performance based on a gradient regression model.

Scientific reports Feb 18, 2026
Accurate prediction of athlete performance is a challenges issue of significance in sports science and analytics and has application in training design, injury prevention, and talent management. Conventional statistical models usually cannot represen... read more 

A conformational benchmark for optical property prediction with solvent-aware graph neural networks.

Communications chemistry Feb 18, 2026
Accurately predicting optical spectra of molecules is essential for creating better OLED emitters, solar-cell dyes, and fluorescent probes. Traditional methods, such as time-dependent density-functional theory, are computationally expensive and often... read more 
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