AI Medical Compendium

ADAM-DETR: an intelligent rice disease detection method based on adaptive multi-scale feature fusion.

Plant methods Aug 8, 2025

Rice diseases pose a severe threat to global food security, while traditional detection methods suffer from low efficiency and dependence on manual expertise. To address the challenges of insufficient feature extraction and poor multi-scale disease a... read more

AAGP integrates physicochemical and compositional features for machine learning-based prediction of anti-aging peptides.

Scientific reports Aug 8, 2025

Aging is a natural phenomenon characterized by the loss of normal morphology and physiological functioning of the body, causing wrinkles on the skin, loss of hair, and compromised immune systems. Peptide therapies have emerged as a promising approach... read more

Humans Machine Learning Algorithms Aging Peptides Computational Biology Antimicrobial Peptides

Wetland dynamics in the Indus River Delta: A Sentinel-2 and machine learning approach.

Journal of environmental management Aug 8, 2025

Coastal wetlands of the Indus River Delta are vital ecological regions that have undergone significant transformations driven by anthropogenic activities and environmental stressors. This study assesses the dynamics of wetlands and reclamation in the... read more

Whole genome resequencing reveals genetic diversity, population structure, and selection signatures in local duck breeds.

BMC genomics Aug 8, 2025

BACKGROUND: Shandong's local duck breeds are renowned for their outstanding egg-laying performance and are regarded as valuable assets within China's waterfowl germplasm. Understanding the genetic characteristics of these populations, along with moni... read more

Animals Phylogeny China Polymorphism, Single Nucleotide Whole Genome Sequencing Genetic Variation Ducks Breeding Selection, Genetic Genetics, Population

GAIDeT (Generative AI Delegation Taxonomy): A taxonomy for humans to delegate tasks to generative artificial intelligence in scientific research and publishing.

Accountability in research Aug 8, 2025

BACKGROUND: The integration of generative artificial intelligence (GAI) in research raises concerns about transparency, accountability, and task delegation. While frameworks such as CRediT and the NIST AI Use Taxonomy address contributions to researc... read more

Application of Artificial Intelligence in Bone Quality and Quantity Assessment for Dental Implant Planning: A Scoping Review.

Journal of dentistry Aug 8, 2025

OBJECTIVES: To assess how artificial intelligence (AI) models perform in evaluating bone quality and quantity in the preoperative planning process for dental implants. read more

Baseline high-resolution maps of soil nutrients in Morocco to support sustainable agriculture.

Scientific data Aug 8, 2025

Phosphorus (P) and potassium (K) are essential fertilizer elements whose recommendations require soil analysis tailored to crop-specific needs. However, in developing countries like Morocco, access to open databases on nutrient bioavailability remain... read more

Dual branch attention network for image super-resolution.

Scientific reports Aug 8, 2025

The advancement of deep convolutional neural networks (CNNs) has resulted in remarkable achievements in image super-resolution methods utilizing CNNs. However, these methods have been limited by a narrow perceptual field and often require a high numb... read more

Development and validation of interpretable machine learning models for predicting AKI risk in patients treated with PD-1/PD-L1: a retrospective study.

BMC medical informatics and decision making Aug 8, 2025

BACKGROUND: Anti-programmed cell death protein 1 (PD-1)/programmed cell death ligand 1 (PD-L1) immunotherapy has revolutionized cancer treatment. However, it can cause immune-related adverse events, including acute kidney injury (AKI). Such adverse e... read more

Humans Machine Learning Retrospective Studies Acute Kidney Injury Female Aged Male Middle Aged Risk Assessment Neoplasms Immune Checkpoint Inhibitors Programmed Cell Death 1 Receptor

Non-invasive prediction of the secondary enucleation risk in uveal melanoma based on pretreatment CT and MRI prior to stereotactic radiotherapy.

Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al] Aug 8, 2025

PURPOSE: The aim of this study was to develop a radiomic model to non-invasively predict the risk of secondary enucleation (SE) in patients with uveal melanoma (UM) prior to stereotactic radiotherapy using pretreatment computed tomography (CT) and ma... read more

Artificial Intelligence Medical Compendium