Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 7,271 to 7,280 of 206,272 articles

What's next for VI-RADS? Updates and future perspectives from the ACR VI-RADS steering committee.

Cancer imaging : the official publication of the International Cancer Imaging Society
Since the introduction of the Vesical Imaging-Reporting and Data System (VI-RADS), MRI has become an important imaging modality in the management of patients with bladder cancer. Its excellent diagnostic performance for determining muscle invasion in... read more 

ABCC2 as a novel therapeutic target in lung adenocarcinoma: a machine learning-driven discovery linking ammonia metabolism to prognosis and drug resistance.

Journal of translational medicine
BACKGROUND: Ammonia, long regarded as a metabolic waste product, has recently been recognized as a pivotal oncometabolite in the tumor microenvironment, contributing to cancer progression and immune evasion. However, its prognostic value and therapeu... read more 

Machine learning model to estimate momentary status of activities of daily living in people with early-stage Parkinson's disease: an experimental study in home setting.

Disability and rehabilitation. Assistive technology
PURPOSE: The purpose of this study was to develop a model that estimates the momentary status of activities of daily living (ADLs) in people with Parkinson's disease (PwPD) in the early stages using data measured in real home settings of PwPD. MATERI... read more 

An AI-Driven Pipeline for Localization, Segmentation, and Classification of Carpal Tunnel Syndrome Using Ultrasound Images of the Median Nerve.

Hand (New York, N.Y.)
BACKGROUND: Carpal tunnel syndrome (CTS), the most common peripheral neuropathy, is currently diagnosed by clinical suspicion supported by tools such as the CTS-6 questionnaire and ultrasound. While these tools are widely used and clinically valuable... read more 

Prediction of low birth weight using machine learning-based analysis of environmental and maternal risk factors: insights from the Korean CHildren's ENvironmental health Study (Ko-CHENS).

Environmental research
Adverse birth outcomes such as low birth weight (LBW) increase the risk of metabolic disorders and hypertension later in life. Although previous studies have examined obstetric factors or environmental exposures in relation to LBW, few have assessed ... read more 

Guideline Adherence in the Diagnosis of PCOS Among Adolescents: Comparing Obstetricians and Gynecologists With Large Language Models.

Journal of pediatric and adolescent gynecology
STUDY OBJECTIVE: Polycystic ovary syndrome in adolescence is a condition associated with long-term cardiovascular, metabolic, and psychological outcomes. The diagnosis of PCOS in adolescence poses diagnostic challenges for obstetricians and gynecolog... read more 

Identification and multicenter validation of a 4-gene plasma signature for early recognition and risk assessment in hypertensive intracerebral hemorrhage.

Genomics
Hypertensive intracerebral hemorrhage (ICH) is a devastating stroke subtype with high mortality and disability, yet reliable early risk biomarkers remain elusive. This study integrated protein microarray and transcriptomics with machine learning to i... read more 

Avoiding Monsters: Weighing Recipient Risk and Donor Quality in Lung Transplantation.

The Journal of heart and lung transplantation : the official publication of the International Society for Heart Transplantation
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Beyond Reactive Surveillance: Can Machine Learning Finally Personalize Heart Transplant Care?

The Journal of heart and lung transplantation : the official publication of the International Society for Heart Transplantation
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A bond-aware graph neural network integrated with docking, pharmacophore modeling and molecular dynamics for JAK2 inhibitors affinity prediction.

Biochimica et biophysica acta. Proteins and proteomics
The Janus kinase (JAK)/STAT signaling pathway plays a pivotal role in cancer biology as well as in inflammatory and autoimmune disorders such as psoriasis. Recent advances in biomedical research and targeted therapies have highlighted the importance ... read more