AI Medical Compendium

Prediction model for ctDNA detectability in liquid comprehensive genomic profiling of advanced pancreatic cancer based on Japanese real-world data.

ESMO open Feb 12, 2026

BACKGROUND: Circulating tumor DNA (ctDNA) is sometimes undetectable in liquid comprehensive genomic profiling (CGP) of advanced-stage pancreatic cancer, resulting in false-negative findings that may mislead treatment decisions and waste health care r... read more

An optimized knowledge-based planning method for craniospinal irradiation integrated with auto-contouring.

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) Feb 12, 2026

BACKGROUND: Craniospinal irradiation (CSI) is a complex treatment requiring precise delineation of extended plan target volumes (PTV) and multiple organs at risk (OARs). The process traditionally demands substantial time and expertise from physicians... read more

Artificial Intelligence in Tuberculosis Imaging: A Global Bibliometric Analysis of Research Trends and Collaborations.

Radiography (London, England : 1995) Feb 12, 2026

INTRODUCTION: Tuberculosis (TB), a leading infectious cause of death, remains a global health challenge. Imaging is central to diagnosis and screening, while artificial intelligence (AI) is increasingly applied to chest X-rays (CXR) and computed tomo... read more

Automatic field-of-view planning for magnetic resonance shoulder imaging using Deep Learning.

Journal of medical imaging and radiation sciences Feb 12, 2026

INTRODUCTION: Accurate prescription of oblique coronal and oblique sagittal field of views (FOV) is essential for diagnostic shoulder MRI. Manual planning is radiographer-dependent, time-consuming, and subject to inter- and intra-operator variability... read more

Deep Learning and Machine Learning for Differentiation Between Contrast Extravasation and Hemorrhagic Transformation in Post-Thrombectomy Stroke CT.

Journal of neuroradiology = Journal de neuroradiologie Feb 12, 2026

BACKGROUND: Mechanical thrombectomy (MT) improves outcomes in acute ischemic stroke (AIS) but often results in hyperdensities on non-contrast CT (NCCT), which may represent either hemorrhagic transformation (HT) or contrast extravasation (CE). Distin... read more

Predicting blue carbon sequestration in Sundarban coastal mangroves: A spatially explicit approach with INVEST and machine learning to advance climate resilience and UN SDG-aligned nature-based climate solutions.

Marine pollution bulletin Feb 12, 2026

Coastal blue carbon ecosystems have emerged as vital nature-based solutions for addressing climate change. This study examines the Indian Sundarbans, the largest contiguous mangrove forest globally, to quantify key metrics, including carbon accumulat... read more

Biochar for next-generation anaerobic digestion: Global trends, multi-mechanism enhancement, and AI-driven prospects.

Journal of environmental management Feb 12, 2026

Biochar-enhanced anaerobic digestion is widely recognized as a promising strategy for converting organic waste into renewable energy. This article presents a comprehensive review that integrates a bibliometric analysis of 636 research articles on bio... read more

Rational protein design.

Current opinion in structural biology Feb 12, 2026

Protein design enables the creation of novel structures and functions beyond those found in nature, with recent progress accelerated by computational modeling and machine learning. However, many automated methods act as black boxes, limiting mechanis... read more

Machine learning approach for predicting the influence of pulverized waste tire rubber fines as a sustainable cement alternative in concrete.

Waste management (New York, N.Y.) Feb 12, 2026

The disposal of waste tires has a significant environmental impact, and there is growing interest in their integration as supplementary cementitious materials. Using recycled waste tire fines as a cementitious material can declare that rubber additio... read more

Autoencoder-driven stride length estimation for individuals with Parkinson's disease using inertial measurement unit-embedded footwear.

Gait & posture Feb 12, 2026

BACKGROUND: Gait disorders in Parkinson's disease (PD) are often characterized by reduced stride length, particularly under off-medication conditions. Inertial measurement units (IMUs) embedded in footwear provide a practical and environment-independ... read more

Artificial Intelligence Medical Compendium