Public Health & Policy

Ethics

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

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Mapping AI-ethics' dilemmas in forensic case work: To trust AI or not?

In this paper I discuss the challenges and ethical considerations surrounding the use of Artificial ...

Non-invasive tumor microenvironment evaluation and treatment response prediction in gastric cancer using deep learning radiomics.

The tumor microenvironment (TME) plays a critical role in disease progression and is a key determina...

Learning from small data: Classifying sex from retinal images via deep learning.

Deep learning (DL) techniques have seen tremendous interest in medical imaging, particularly in the ...

How Should Surgeons Consider Emerging Innovations in Artificial Intelligence and Robotics?

Artificial intelligence (AI)-assisted robotic surgery seems to offer promise for improving patients'...

The accuracy of artificial intelligence used for non-melanoma skin cancer diagnoses: a meta-analysis.

BACKGROUND: With rising incidence of skin cancer and relatively increased mortality rates, an improv...

NT-proBNP in patients presenting with myocardial infarction and non-obstructive coronary arteries without left ventricular systolic dysfunction.

BACKGROUND: Myocardial infarction and non-obstructive coronary arteries (MINOCA) affects 1 in 9 pati...

Artificial intelligence (A.I.) in dental curricula: Ethics and responsible integration.

The use of artificial intelligence (AI) is deeply embedded in all aspects of our daily lives, promot...

Deep learning-based diagnosis of histopathological patterns for invasive non-mucinous lung adenocarcinoma using semantic segmentation.

OBJECTIVES: The application of artificial intelligence (AI) to the field of pathology has facilitate...

Machine learning-guided REIMS pattern recognition of non-dairy cream, milk fat cream and whipping cream for fraudulence identification.

The illegal adulteration of non-dairy cream in milk fat cream during the manufacturing process of ba...

SAF: Stakeholders' Agreement on Fairness in the Practice of Machine Learning Development.

This paper clarifies why bias cannot be completely mitigated in Machine Learning (ML) and proposes a...

Machine learning-based classification models for non-covalent Bruton's tyrosine kinase inhibitors: predictive ability and interpretability.

In this study, we built classification models using machine learning techniques to predict the bioac...

Non-endoscopic Applications of Machine Learning in Gastric Cancer: A Systematic Review.

PURPOSE: Gastric cancer is an important health burden characterized by high prevalence and mortality...

Non-invasive arterial blood pressure measurement and SpO estimation using PPG signal: a deep learning framework.

BACKGROUND: Monitoring blood pressure and peripheral capillary oxygen saturation plays a crucial rol...

Deep learning model for predicting the presence of stromal invasion of breast cancer on digital breast tomosynthesis.

To develop a deep learning (DL)-based algorithm to predict the presence of stromal invasion in breas...

The ethics of advancing artificial intelligence in healthcare: analyzing ethical considerations for Japan's innovative AI hospital system.

Public and private investments into developing digital health technologies-including artificial inte...

Who should be first? How and when AI-human order influences procedural justice in a multistage decision-making process.

Artificial intelligence (AI) has fundamentally changed the way people live and has largely reshaped ...

Avenues for non-conventional robotics technology applications in the food industry.

Robots in manufacturing alleviate hazardous environmental conditions, reduce the physical/mental str...

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