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Stem Cell Research

Latest AI and machine learning research in stem cell research for healthcare professionals.

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Ethical risks in robot health education: A qualitative study.

BackgroundAs health education robots may potentially become a significant support force in nursing p...

Challenges of Artificial Intelligence in Medicine.

Artificial Intelligence (AI) holds great promise for healthcare, promising improved patient outcomes...

A physics-informed deep learning model for predicting beam dose distribution of intensity-modulated radiation therapy treatment plans.

BACKGROUND AND PURPOSE: We aimed to develop a physics-informed deep learning model for beam dose pre...

The use of robotic upper limb therapy in routine clinical practice for stroke survivors: Insights from Australian therapists.

INTRODUCTION: There is a limited understanding of therapist acceptance and use of robot-assisted upp...

Artificial Intelligence in Medical Care - Patients' Perceptions on Caregiving Relationships and Ethics: A Qualitative Study.

INTRODUCTION: Artificial intelligence (AI) offers several opportunities to enhance medical care, but...

A deep learning model trained on expressed transcripts across different tissue types reveals cell-type codon-optimization preferences.

Species-specific differences in protein translation can affect the design of protein-based drugs. Co...

The ethics of non-explainable artificial intelligence: an overview for clinical nurses.

Artificial intelligence (AI) is transforming healthcare by enhancing clinical decision-making, parti...

The INNOVATE framework to foster ethics of artificial intelligence.

ChatGPT, the latest advancement in Artificial Intelligence (AI), represents one of the most advanced...

Bridging the Gap in Neonatal Care: Evaluating AI Chatbots for Chronic Neonatal Lung Disease and Home Oxygen Therapy Management.

OBJECTIVE: To evaluate the accuracy and comprehensiveness of eight free, publicly available large la...

Effects of artificial intelligence and virtual reality interventions in art therapy among older people with mild cognitive impairment.

OBJECTIVES: Integrating artificial intelligence and virtual reality into an art health program, this...

Generative Versus Nongenerative Artificial Intelligence.

Artificial intelligence (AI) is a colossal buzzword, a confusing subject matter, but also an inevita...

Ethical considerations on the use of big data and artificial intelligence in kidney research from the ERA ethics committee.

In the current paper, we will focus on requirements to ensure big data can advance the outcomes of o...

Regulating Innovation: Addressing the Challenges of Canada's Health-Tech Sector.

The Canadian health-tech sector faces regulatory challenges amidst rapid innovations in artificial i...

Recurrent Neural Network/Machine Learning Predictions of Reactive Channels in H + CH at E = 30 eV: A Prototype of Ion Cancer Therapy Reactions.

We present a simplest-level electron nuclear dynamics/machine learning (SLEND/ML) approach to predic...

Ethical Concerns of AI in Neurosurgery: A Systematic Review.

BACKGROUND: The relentless integration of Artificial Intelligence (AI) into neurosurgery necessitate...

A Serial MRI-based Deep Learning Model to Predict Survival in Patients with Locoregionally Advanced Nasopharyngeal Carcinoma.

Purpose To develop and evaluate a deep learning-based prognostic model for predicting survival in lo...

Ethics of artificial intelligence in embryo assessment: mapping the terrain.

Artificial intelligence (AI) has the potential to standardize and automate important aspects of fert...

Deep Learning-Based SD-OCT Layer Segmentation Quantifies Outer Retina Changes in Patients With Biallelic RPE65 Mutations Undergoing Gene Therapy.

PURPOSE: To quantify outer retina structural changes and define novel biomarkers of inherited retina...

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