AI Medical Compendium

Multicenter Validation of Automated Segmentation and Composition Analysis of Lumbar Paraspinal Muscles Using Multisequence MRI.

Radiology. Artificial intelligence Aug 20, 2025

. Chronic low back pain is a global health issue with considerable socioeconomic burdens and is associated with changes in lumbar paraspinal muscles (LPM). In this retrospective study, a deep learning method was trained and externally validated for a... read more

State of science: New frontiers in inclusive design and digital health intervention.

Ergonomics Aug 20, 2025

Inclusive design has evolved as a design approach and a research topic in the last three decades. Despite its evolution, there are new frontiers to consider in the context of two phenomena: global ageing populations and the digital transition of serv... read more

FOCUS: Frequency-Optimized Conditioning of DiffUSion Models for mitigating catastrophic forgetting during Test-Time Adaptation

arXiv Aug 20, 2025

Test-time adaptation enables models to adapt to evolving domains. However, balancing the tradeoff between preserving knowledge and adapting to domain shifts remains challenging for model adaptation methods, since adapting to domain shifts can induc... read more

Computer Vision and Pattern Recognition

Cancer care coordination determinants of depression in head and neck cancer survivors.

Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer Aug 20, 2025

PURPOSE: This study aims to explore the role of patient-reported cancer care coordination in explaining depression among head and neck (HNC) cancer survivors. read more

Depression Surveys and Questionnaires Head and Neck Neoplasms Patient Reported Outcome Measures Cancer Survivors Cross-Sectional Studies Male Middle Aged Aged Adult Humans Female

AI-driven reclassification of multiple sclerosis progression.

Nature medicine Aug 20, 2025

Multiple sclerosis (MS) affects 2.9 million people. Traditional classification of MS into distinct subtypes poorly reflects its pathobiology and has limited value for prognosticating disease evolution and treatment response, thereby hampering drug di... read more

TCFNet: Bidirectional face-bone transformation via a Transformer-based coarse-to-fine point movement network

arXiv Aug 20, 2025

Computer-aided surgical simulation is a critical component of orthognathic surgical planning, where accurately simulating face-bone shape transformations is significant. The traditional biomechanical simulation methods are limited by their computat... read more

Computer Vision and Pattern Recognition

External validation of precisebreast, a digital prognostic test for predicting breast cancer recurrence, in an early-stage cohort from the Netherlands.

Breast cancer research : BCR Aug 20, 2025

BACKGROUND: Current clinical guidelines recommend gene expression profiling to guide treatment in early-stage breast cancer. PreciseBreast (PDxBR) is a digital prognostic tool that integrates artificial intelligence (AI)-derived features from hematox... read more

Retrospective Studies Female Aged Artificial Intelligence Prognosis Middle Aged Gene Expression Profiling Neoplasm Staging Adult Breast Neoplasms Biomarkers, Tumor Humans Neoplasm Recurrence, Local Netherlands

Effect of discontinuing antipsychotic medications on the risk of hospitalization in long-term care: a machine learning-based analysis.

BMC medicine Aug 20, 2025

BACKGROUND: Antipsychotic medications are frequently prescribed to older residents of long-term care facilities (LTCFs) despite their limited efficacy and considerable safety risks. While discontinuation of these drugs might help reduce their associa... read more

Humans Registries Machine Learning Antipsychotic Agents Retrospective Studies Finland Female Aged Long-Term Care Hospitalization Aged, 80 and over Male

A development of machine learning models to preoperatively predict insufficient clinical improvement after total knee arthroplasty.

Journal of orthopaedic surgery and research Aug 20, 2025

BACKGROUND: Identifying patients unlikely to achieve meaningful improvement following total knee arthroplasty (TKA) supports more effective shared decision-making (SDM). This study aimed to develop and validate machine learning (ML) models that preop... read more

Preoperative Period Osteoarthritis, Knee Minimal Clinically Important Difference Female Range of Motion, Articular Arthroplasty, Replacement, Knee Humans Aged Middle Aged Machine Learning Male Treatment Outcome Retrospective Studies Predictive Value of Tests

Nanopore sequencing of intact aminoacylated tRNAs.

Nature communications Aug 20, 2025

The intricate landscape of tRNA modification presents persistent analytical challenges, which have impeded efforts to simultaneously resolve sequence, modification, and aminoacylation state at the level of individual tRNAs. To address these challenge... read more

RNA, Transfer Nanopore Sequencing Transfer RNA Aminoacylation Machine Learning Sequence Analysis, RNA Amino Acids

Artificial Intelligence Medical Compendium