AI Medical Compendium

An explainable GeoAI framework for spatial assessment of wildfire susceptibility in the Upper Ravi sub-basin, Indian Himalaya.

Scientific reports Apr 7, 2026

Visually meaningful image encryption using convolution neural networks.

Scientific reports Apr 7, 2026

MRR-YOLO: an instance segmentation technique for ground-based cloud images.

Scientific reports Apr 7, 2026

Clouds significantly affects the power output of solar energy systems, and it also decrease the life of modules in photovoltaic system and receivers in the concentrating solar power system, resulting in costs of operation and maintenance. In the pres... read more

Machine and Deep Learning Reveal Sequence Determinants Encoding Bivalent Histone Modifications.

Communications biology Apr 7, 2026

Bivalent histone modifications, marked by the coexistence of activating and repressive histone marks, define a distinctive chromatin state with key roles in developmental gene regulation. However, the specific sequence features that distinguish bival... read more

Signal extraction in SWAXS data for the compact X-ray light sources: a machine learning approach.

Scientific reports Apr 7, 2026

The development of X-ray free electron lasers has driven significant progress in X-ray science. Given the broad range of their applications, implementing a new generation of this technology at the laboratory scale has been under consideration for sev... read more

Retraction Note: Machine learning framework for oxytetracycline removal using nanostructured cupric oxide supported on magnetic chitosan alginate biocomposite.

Scientific reports Apr 7, 2026

Interpretable machine learning models for stroke risk prediction in patients with newly diagnosed atrial fibrillation.

NPJ digital medicine Apr 7, 2026

Atrial fibrillation (AF) is the most common sustained arrhythmia and a leading cause of ischemic stroke. Existing risk scores, such as CHA₂DS₂-VASc, offer limited predictive accuracy and fail to capture complex clinical patterns. To improve generaliz... read more

[Large language models as a communication and organizational infrastructure in urology: evidence, limitations, and clinical responsibility].

Urologie (Heidelberg, Germany) Apr 7, 2026

Large language models (LLMs) mark a structural turning point in digital medicine, as they are now capable not only of processing medical information but of conveying it in ways that are context-sensitive, linguistically coherent, and tailored to the ... read more

Comment on "Artificial intelligence-driven 3D surface-topography app for screening and monitoring adolescent scoliosis: early results from a single institution".

Spine deformity Apr 7, 2026

Comment on "Artificial intelligence automated measurements of spinopelvic parameters in adult spinal deformity a systematic review".

Spine deformity Apr 7, 2026

Artificial Intelligence Medical Compendium

An explainable GeoAI framework for spatial assessment of wildfire susceptibility in the Upper Ravi sub-basin, Indian Himalaya.

Visually meaningful image encryption using convolution neural networks.

MRR-YOLO: an instance segmentation technique for ground-based cloud images.

Machine and Deep Learning Reveal Sequence Determinants Encoding Bivalent Histone Modifications.

Signal extraction in SWAXS data for the compact X-ray light sources: a machine learning approach.

Retraction Note: Machine learning framework for oxytetracycline removal using nanostructured cupric oxide supported on magnetic chitosan alginate biocomposite.

Interpretable machine learning models for stroke risk prediction in patients with newly diagnosed atrial fibrillation.

[Large language models as a communication and organizational infrastructure in urology: evidence, limitations, and clinical responsibility].

Comment on "Artificial intelligence-driven 3D surface-topography app for screening and monitoring adolescent scoliosis: early results from a single institution".

Comment on "Artificial intelligence automated measurements of spinopelvic parameters in adult spinal deformity a systematic review".

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