Artificial Intelligence Medical Compendium

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

Showing 43,191 to 43,200 of 223,853 articles

A novel polymer-sensitive index coupled with multivariate and machine learning modeling for microplastic risk assessment in coastal sediments of the bay of Bengal.

Marine pollution bulletin Mar 10, 2026
Microplastic (MP) contamination in coastal sediments poses growing ecological and human health concerns, yet data for developing nations remain limited. This study provides a comprehensive assessment of MPs along the Cox's Bazar shoreline, the world'... read more 

Interpretable evaluation of physiological signals for biometric identification.

Computers in biology and medicine Mar 10, 2026
Biometric systems using physiological signals have shown high identification accuracy (IA) and low Equal Error Rate (EER). However, existing research largely emphasizes performance metrics alone, overlooking the characteristics of models. In contrast... read more 

Comparison of monocular video-based methods for measuring the amplitude of hand tremor.

Computers in biology and medicine Mar 10, 2026
Accurate assessment of hand tremor is critical to help diagnose and monitor multiple neurological conditions. In routine practice, clinicians subjectively estimate tremor frequency and amplitude, but this has poor reliability. Recently, objective met... read more 

Deep learning with limited data: a transfer learning approach for transcriptomic survival prediction.

Computers in biology and medicine Mar 10, 2026
BACKGROUND: Deep neural networks (DNNs) are promising for analyzing high-dimensional transcriptomic data in cancer research but are limited by data scarcity and heterogeneity. Transfer learning (TL), which leverages large datasets to improve performa... read more 

Use of synthetic data, a novel paradigm for immunopathology.

Current opinion in immunology Mar 10, 2026
The complexity and heterogeneity of autoimmune diseases are only partially captured by current analytic tools, even when deep learning techniques are employed to intercept patterns beyond existing dogma. Synthetic data offer a newer paradigm through ... read more 

Overcoming Death by Case Study Using Artificial Intelligence and Gamification.

Nurse educator Mar 10, 2026
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Intratumoral and peritumoral radiomics-based machine learning models for the postoperative survival prediction in esophageal squamous cell carcinoma.

Interdisciplinary cardiovascular and thoracic surgery Mar 10, 2026
OBJECTIVES: This study aimed to develop and validate machine learning (ML) models to predict survival following oesophagectomy in oesophageal squamous cell carcinoma (ESCC) patients using intratumoral and peritumoral radiomic features. METHODS: A ret... read more 

Automatic segmentation of clinical target volume for radiation therapy in breast-conserving patients and exploration of clinical factors influential to its performance.

The British journal of radiology Mar 10, 2026
OBJECTIVES: To develop and validate a deep learning model for whole breast clinical target volume (CTV) contouring and evaluate clinical features affecting its performance. METHODS: Five datasets with 857 patients from a single center were used. Data... read more 

Predicting Antibody-Antigen Affinity with a Dual-Level Representation Model.

Bioinformatics (Oxford, England) Mar 10, 2026
MOTIVATION: Protein language models (pLMs) are critical for modeling antibody-antigen interactions, yet sequence-based affinity prediction remains a key challenge, particularly when structural data are scarce. Existing methods often struggle to fully... read more 

Structured machine learning modeling to support conservation of deep-sea benthic biodiversity.

Conservation biology : the journal of the Society for Conservation Biology Mar 10, 2026
Biodiversity monitoring programs need to deliver accurate, timely, and actionable predictions. To establish a predictive monitoring program for deep-sea benthos of the Santos Basin, Brazil, we developed a two-stage structured model that allowed compa... read more 
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