AI Medical Compendium

Machine learning of whole-brain resting-state fMRI signatures for individualized grading of frontal gliomas.

Cancer imaging : the official publication of the International Cancer Imaging Society Aug 4, 2025

PURPOSE: Accurate preoperative grading of gliomas is critical for therapeutic planning and prognostic evaluation. We developed a noninvasive machine learning model leveraging whole-brain resting-state functional magnetic resonance imaging (rs-fMRI) b... read more

Humans Machine Learning Retrospective Studies Female Aged Young Adult Adult Brain Neoplasms Male Middle Aged Glioma Magnetic Resonance Imaging Neoplasm Grading Frontal Lobe

Ensemble of Handcrafted and Learned Features for Colorectal Cancer Classification.

Journal of imaging informatics in medicine Aug 4, 2025

Colorectal cancer (CRC) remains one of the most common and lethal malignancies worldwide. The current gold standard for CRC diagnosis relies on histopathological analysis, a time-consuming process subject to inter-observer variability and dependent o... read more

Predicting patient outcomes and risk for revision surgery after hip and knee replacement surgery: study protocol for a comparison of modelling approaches using the Swiss National Joint Registry (SIRIS).

Diagnostic and prognostic research Aug 4, 2025

BACKGROUND: Prediction of postoperative patient-reported outcomes and risk for revision surgery after total hip arthroplasty (THA) or total knee arthroplasty (TKA) can inform clinical decision-making, health resource allocation, and care planning. Ma... read more

Deep-learning-based gene perturbation effect prediction does not yet outperform simple linear baselines.

Nature methods Aug 4, 2025

Recent research in deep-learning-based foundation models promises to learn representations of single-cell data that enable prediction of the effects of genetic perturbations. Here we compared five foundation models and two other deep learning models ... read more

Deep learning and digital twin integration for structural damage detection in ancient pagodas.

Scientific reports Aug 4, 2025

In recent years, with the rise of digital twin technology in the field of artificial intelligence and the continuous advancement of hardware imaging equipment, significant progress has been made in the detection of structural damage in buildings and ... read more

Combined nomogram for differentiating adrenal pheochromocytoma from large-diameter lipid-poor adenoma using multiphase CT radiomics and clinico-radiological features.

BMC medical imaging Aug 4, 2025

BACKGROUND AND OBJECTIVE: Adrenal incidentalomas (AIs) are predominantly adrenal adenomas (80%), with a smaller proportion (7%) being pheochromocytomas(PHEO). Adenomas are typically non-functional tumors managed through observation or medication, wit... read more

Humans Retrospective Studies Tomography, X-Ray Computed Female Aged Adult Radiomics Male Middle Aged Nomograms Adenoma Diagnosis, Differential Adrenal Gland Neoplasms Pheochromocytoma

Deep Learning Reconstruction for T2 Weighted Turbo-Spin-Echo Imaging of the Pelvis: Prospective Comparison With Standard T2-Weighted TSE Imaging With Respect to Image Quality, Lesion Depiction, and Acquisition Time.

Canadian Association of Radiologists journal = Journal l'Association canadienne des radiologistes Aug 4, 2025

PURPOSE: In pelvic MRI, Turbo Spin Echo (TSE) pulse sequences are used for T2-weighted imaging. However, its lengthy acquisition time increases the potential for artifacts. Deep learning (DL) reconstruction achieves reduced scan times without the deg... read more

An open dataset and machine learning algorithms for Niacin Skin-Flushing Response based screening of psychiatric disorders.

BMC psychiatry Aug 4, 2025

BACKGROUND: Niacin Skin-Flushing Response (NSR) has emerged as a promising objective biomarker for the precise diagnosis of mental disorders. However, its diagnostic potential has been constrained by the limitations of traditional statistical approac... read more

Humans Machine Learning Algorithms Mental Disorders Biomarkers Female Adult Male Bipolar Disorder Schizophrenia Datasets as Topic Niacin Flushing

AutoML-Driven Soft Sensors for Real-Time Monitoring of Amino Acids in Mammalian Perfusion Cultures.

Biotechnology and bioengineering Aug 4, 2025

Mammalian perfusion culture offers high productivity for complex biologics but presents operational challenges in maintaining process stability. Real-time monitoring is essential to address such challenges while traditional analytical methods often f... read more

Aptamer-Mediated Artificial Synapses for Neuromorphic Modulation of Inflammatory Signaling via Organic Electrochemical Transistor.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Aug 4, 2025

Artificial synaptic devices that mimic neuromorphic signal processing hold great promise for bioelectronic interfaces. However, most systems remain limited to physical stimuli or electroactive small molecules, lacking the ability to transduce biologi... read more

Artificial Intelligence Medical Compendium