Geriatrics

Medicare

Latest AI and machine learning research in medicare for healthcare professionals.

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Geriatrics Subcategories: Alzheimer's Disease Medicare
Showing 64-84 of 3,442 articles
Knowledge Representation and Management in the Age of Long Covid and Large Language Models: a 2022-2023 Survey.

OBJECTIVES: To select, present, and summarize cutting edge work in the field of Knowledge Representa...

An extension to the OVH concept for knowledge-based dose volume histogram prediction in lung tumor volumetric-modulated arc therapy.

PURPOSE: Volumetric-modulated arc therapy (VMAT) treatment planning allows a compromise between a su...

Electrocardiographic Discrimination of Long QT Syndrome Genotypes: A Comparative Analysis and Machine Learning Approach.

Long QT syndrome (LQTS) presents a group of inheritable channelopathies with prolonged ventricular r...

Opportunities and Challenges for Large Language Models in Primary Health Care.

Primary Health Care (PHC) is the cornerstone of the global health care system and the primary object...

Artificial intelligence for tumor [F]FDG-PET imaging: Advancement and future trends-part I.

The advent of sophisticated image analysis techniques has facilitated the extraction of increasingly...

ZnO nanoflower-mediated paper-based electrochemical biosensor for perfect classification of cardiac biomarkers with physics-informed machine learning.

The widespread exposure of acute myocardial infarction globally demands an ultrasensitive, rapid, an...

Student dropout prediction through machine learning optimization: insights from moodle log data.

Student attrition and academic failure remain pervasive challenges in education, often occurring at ...

RBPsuite 2.0: an updated RNA-protein binding site prediction suite with high coverage on species and proteins based on deep learning.

BACKGROUND: RNA-binding proteins (RBPs) play crucial roles in many biological processes, and computa...

SVLearn: a dual-reference machine learning approach enables accurate cross-species genotyping of structural variants.

Structural variations (SVs) are diverse forms of genetic alterations and drive a wide range of human...

Transcriptome analysis reveals the potential role of neural factor EN1 for long-terms survival in estrogen receptor-independent breast cancer.

Breast cancer patients with estrogen receptor-negative (ERneg) status, encompassing triple negative ...

Enhancement of long-horizon task planning via active and passive modification in large language models.

This study proposes a method for generating complex and long-horizon off-line task plans using large...

Accuracy of 7 artificial intelligence-based intraocular lens power calculation formulas in medium-long eyes: 2-center study.

OBJECTIVE: To compare accuracy of 7 artificial intelligence (AI)-based intraocular lens (IOL) power ...

Enhanced recognition and counting of high-coverage Amorphophallus konjac by integrating UAV RGB imagery and deep learning.

Accurate counting of Amorphophallus konjac (Konjac) plants can offer valuable insights for agricultu...

Deep learning imputes DNA methylation states in single cells and enhances the detection of epigenetic alterations in schizophrenia.

DNA methylation (DNAm) is a key epigenetic mark with essential roles in gene regulation, mammalian d...

Long-tailed medical diagnosis with relation-aware representation learning and iterative classifier calibration.

Recently computer-aided diagnosis has demonstrated promising performance, effectively alleviating th...

Predicting mental health disparities using machine learning for African Americans in Southeastern Virginia.

This study examined mental health disparities among African Americans using AI and machine learning ...

Unveiling Disparities in Patient Rights Awareness and Practice: Insights From Artificial Neural Networks.

BACKGROUND: High-quality universal health care coverage for all patients is the common theme in pati...

Projections of single-level indirect lumbar interbody fusion volume and associated costs for Medicare patients to 2050.

BACKGROUND: Anterior, Oblique, and Lateral Lumbar Interbody Fusions (ALIF/OLIF/LLIF) are powerful mo...

Long-Range Electrostatics in Serine Proteases: Machine Learning-Driven Reaction Sampling Yields Insights for Enzyme Design.

Computational enzyme design is a promising technique for producing novel enzymes for industrial and ...

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