US Health Policy

Latest AI and machine learning research in us health policy for healthcare professionals.

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Fine motor impairment in children with epilepsy: Relations with seizure severity and lateralizing value.

Motor skill deficits are common in epilepsy. The Grooved Pegboard Test (GPT) is the most commonly us...

Breast Tumor Detection and Classification in Mammogram Images Using Modified YOLOv5 Network.

Breast cancer incidence has been rising steadily during the past few decades. It is the second leadi...

Can the Paro be my Buddy? Meaningful experiences from the perspectives of older adults.

This study aimed to explore meaningful experiences of older Taiwanese adults who had received a Paro...

Systems biology and machine learning approaches identify drug targets in diabetic nephropathy.

Diabetic nephropathy (DN), the leading cause of end-stage renal disease, has become a massive global...

Novel computational models offer alternatives to animal testing for assessing eye irritation and corrosion potential of chemicals.

Eye irritation and corrosion are fundamental considerations in developing chemicals to be used in or...

The value of data and its applicability in the Health Sector.

Currently news and/or articles on the use of Artificial Intelligence and the Big Data are flooding u...

Responsible nudging for social good: new healthcare skills for AI-driven digital personal assistants.

Traditional medical practices and relationships are changing given the widespread adoption of AI-dri...

Prognostic Value of Vitamin D Serum Levels in Cutaneous Melanoma.

INTRODUCTION: Vitamin D plays a fundamental role in many metabolic pathways, including those involve...

Comparing linear and non-linear data-driven approaches in monthly river flow prediction, based on the models SARIMA, LSSVM, ANFIS, and GMDH.

River flow variations directly affect the hydro-climatological, environmental, and ecological charac...

Predictive value of ATN biomarker profiles in estimating disease progression in Alzheimer's disease dementia.

We aimed to evaluate the value of ATN biomarker classification system (amyloid beta [A], pathologic ...

Prognostic Value of Carbohydrate Antigen 19-9 and the Surgical Margin in Extrahepatic Cholangiocarcinoma.

AIM: The prognostic value of the perioperative carbohydrate antigen 19-9 (CA19-9) value and the prog...

Low-value care and excess out-of-pocket expenditure among older adults with incident cancer - A machine learning approach.

OBJECTIVE: To evaluate the association of low-value care with excess out-of-pocket expenditure among...

Laplacian Pyramid Neural Network for Dense Continuous-Value Regression for Complex Scenes.

Many computer vision tasks, such as monocular depth estimation and height estimation from a satellit...

Predictive value of red blood cell distribution width in septic shock patients with thrombocytopenia: A retrospective study using machine learning.

BACKGROUND: Sepsis-associated thrombocytopenia (SAT) is common in critical patients and results in t...

A prehospital diagnostic algorithm for strokes using machine learning: a prospective observational study.

High precision is optimal in prehospital diagnostic algorithms for strokes and large vessel occlusio...

Assessing the Economic Value of Clinical Artificial Intelligence: Challenges and Opportunities.

OBJECTIVES: Clinical artificial intelligence (AI) is a novel technology, and few economic evaluation...

Heller myotomy perforation: robotic visualization decreases perforation rate and revisional surgery is a perforation risk.

Minimally invasive surgery (MIS) has improved surgical access to the foregut. While the benefits of ...

The added value of an artificial intelligence system in assisting radiologists on indeterminate BI-RADS 0 mammograms.

OBJECTIVES: To investigate the value of an artificial intelligence (AI) system in assisting radiolog...

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