AI Medical Compendium

A Graph-Based Machine Learning Framework to Assign Empirical Interaction Parameters for Novel Molecules.

Journal of computational chemistry Sep 15, 2026

Molecular dynamics (MD) simulations of novel molecules are essential to modern drug discovery and related fields that require large-scale sampling of chemical space. However, obtaining accurate and robust force field parameters for novel molecules re... read more

Brain fluorodeoxyglucose PET anatomical segmentation via AI: extensive validation in the neurodegenerative spectrum.

Brain : a journal of neurology Sep 15, 2026

The semi-quantitative assessment of brain [18F]FDG PET provides a more objective interpretation and improved accuracy in differentiating across neurodegenerative diseases. However, the correct identification of anatomical regions of interest without ... read more

Artificial intelligence-assisted echocardiography: contextualising the promise.

Anaesthesia Sep 15, 2026

[Predicting the risk of proximal junctional kyphosis after modified grade Ⅳ osteotomy for thoracolumbar old fractures with kyphotic deformity using machine learning].

Zhonghua yi xue za zhi Sep 15, 2026

Objective: To predict the risk of proximal junctional kyphosis (PJK) following modified grade Ⅳ osteotomy for thoracolumbar old fractures with kyphosis based on machine learning (ML). Methods: A retrospective analysis was conducted, including patient... read more

Prediction Model for Intensive Care Unit Mortality in Patients with Spine Fracture: Can Machine Learning be Used to Improve Current Standards?

Neurocritical care Sep 15, 2026

BACKGROUND: The APACHE-IV is the gold standard for ICU mortality prediction across a multitude of patient conditions. We aim to create a machine learning model to predict ICU mortality for patients with spine fracture with similar predictive capabili... read more

A hybrid deep learning framework for early autism screening.

Primary health care research & development Sep 15, 2026

OBJECTIVES: Early diagnosis of autism spectrum disorder (ASD) remains a significant challenge due to the time-consuming and subjective nature of traditional diagnostic methods. This study proposes a reliability-oriented hybrid deep learning framework... read more

Explainable Deep Learning of Transcriptomes Prioritizes Candidate Biomarkers With Preferential Performance in Gastric Cardia Cancer Cohorts.

FASEB journal : official publication of the Federation of American Societies for Experimental Biology Sep 15, 2026

Gastric cardia adenocarcinoma is biologically distinct from distal disease, but deployable molecular markers remain scarce. We investigated whether explainable deep learning applied to public transcriptomes could nominate diagnostic and survival-asso... read more

Spatial Configuration of Pancreatic Cancer Is Associated with Disease Recurrence after Neoadjuvant Therapy and Curative-Intent Resection.

Clinical cancer research : an official journal of the American Association for Cancer Research Sep 15, 2026

PURPOSE: Pancreatic ductal adenocarcinoma (PDAC) frequently recurs after neoadjuvant therapy (NT) and curative-intent resection. Although major pathologic response predicts favorable outcomes, most patients achieve only minor response with a heteroge... read more

Explainable Plasma Proteomics-Based Machine Learning for Osteoporosis Diagnosis, Prognosis, and Protein Biomarker Discovery in the UK Biobank.

FASEB journal : official publication of the Federation of American Societies for Experimental Biology Sep 15, 2026

Osteoporosis (OP) is often underdiagnosed, highlighting the need for tools that can both detect existing disease and predict future risk; large-scale plasma proteomics combined with explainable machine learning enables integrated diagnostic and progn... read more

The evolving role of immunotherapy in ovarian cancer.

Cancer Sep 15, 2026

Ovarian cancer remains a major cause of gynecologic cancer mortality; and, although immune checkpoint inhibitors have transformed treatment in other solid tumors, their activity in ovarian cancer has been limited by tumor heterogeneity, an immunosupp... read more

Artificial Intelligence Medical Compendium