Primary Care

Latest AI and machine learning research in primary care for healthcare professionals.

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User-Centered Prototype Design of a Health Care Robot for Treating Type 2 Diabetes in the Community Pharmacy: Development and Usability Study.

BACKGROUND: Technology can be an effective tool for providing health services and disease self-manag...

Stages prediction of Alzheimer's disease with shallow 2D and 3D CNNs from intelligently selected neuroimaging data.

Detection of Alzheimer's Disease (AD) is critical for successful diagnosis and treatment, involving ...

Probing the dark chemical matter against PDE4 for the management of psoriasis using in silico, in vitro and in vivo approach.

The potential downsides for the present treatment for psoriasis are drug resistance, reduced efficac...

Controversy in Hypertension: Pro-Side of the Argument Using Artificial Intelligence for Hypertension Diagnosis and Management.

Hypertension presents the largest modifiable public health challenge due to its high prevalence, its...

Artificial intelligence: A key fulcrum for addressing complex environmental health issues.

Environmental health (EH) is a complex and interdisciplinary field dedicated to the examination of e...

Artificial intelligence in anti-obesity drug discovery: unlocking next-generation therapeutics.

Obesity, a multifactorial disease linked to severe health risks, requires innovative treatments beyo...

Tlalpan 2020 Case Study: Enhancing Uric Acid Level Prediction with Machine Learning Regression and Cross-Feature Selection.

Uric acid is a key metabolic byproduct of purine degradation and plays a dual role in human health....

Establishment and validation of a ResNet-based radiomics model for predicting prognosis in cervical spinal cord injury patients.

Cervical spinal cord injury (cSCI) poses a significant challenge due to the unpredictable nature of ...

Obesity classification: a comparative study of machine learning models excluding weight and height data.

OBJECTIVE: Obesity is a global health problem. The aim is to analyze the effectiveness of machine le...

ChatGPT-4o and 4o1 Preview as Dietary Support Tools in a Real-World Medicated Obesity Program: A Prospective Comparative Analysis.

BACKGROUND/OBJECTIVES: Clinicians are becoming increasingly interested in the use of large language ...

Re-imagining human cell culture media: Challenges, innovations, and future directions.

The development of optimized culture media is pivotal to advancements in human cell culture, underpi...

Screening necroptosis genes influencing osteoarthritis development based on machine learning.

Machine learning can be applied to identify key genes associated with osteoarthritis (OA). This stud...

Automatic pre-screening of outdoor airborne microplastics in micrographs using deep learning.

Airborne microplastics (AMPs) are prevalent in both indoor and outdoor environments, posing potentia...

Optimized hybrid machine learning framework for early diabetes prediction using electrogastrograms.

In recent years, diabetes has become a global public health problem, and it is reported that the mig...

PLSKB: An Interactive Knowledge Base to Support Diagnosis, Treatment, and Screening of Lynch Syndrome on the Basis of Precision Oncology.

PURPOSE: Understanding the genetic heterogeneity of Lynch syndrome (LS) cancers has led to significa...

Machine learning based model for the early detection of Gestational Diabetes Mellitus.

BACKGROUND: Gestational Diabetes Mellitus (GDM) is one of the most common medical complications duri...

Three-dimensional markerless surface topography approach with convolutional neural networks for adolescent idiopathic scoliosis screening.

Adolescent idiopathic scoliosis (AIS) is a three-dimensional lateral and torsional deformity of the ...

Metabolomics and machine learning approaches for diagnostic biomarkers screening in systemic light chain amyloidosis.

Delayed diagnosis of systemic light chain (AL) amyloidosis is common and associated with worse survi...

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