Public Health & Policy

Ethics

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

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More Process, Less Principles: The Ethics of Deploying AI and Robotics in Medicine.

Current national and international guidelines for the ethical design and development of artificial i...

Using the Veil of Ignorance to align AI systems with principles of justice.

The philosopher John Rawls proposed the Veil of Ignorance (VoI) as a thought experiment to identify ...

[Ethics-by-design and its relevance for biotechnologies].

Ethics-by-design has been developed recently as an approach prompting developers of new technologies...

Revolutionizing the Early Detection of Alzheimer's Disease through Non-Invasive Biomarkers: The Role of Artificial Intelligence and Deep Learning.

Alzheimer's disease (AD) is now classified as a silent pandemic due to concerning current statistics...

Use of a deep learning algorithm for non-mass enhancement on breast MRI: comparison with radiologists' interpretations at various levels.

PURPOSE: To evaluate the diagnostic performance of deep learning using the Residual Networks 50 (Res...

Collaborative training of medical artificial intelligence models with non-uniform labels.

Due to the rapid advancements in recent years, medical image analysis is largely dominated by deep l...

Deep learning-based semantic segmentation of non-melanocytic skin tumors in whole-slide histopathological images.

Basal cell carcinoma (BCC) and squamous cell carcinoma (SCC) are the two most common skin cancer and...

Non-equilibrium-Growing Aesthetic Ionic Skin for Fingertip-Like Strain-Undisturbed Tactile Sensation and Texture Recognition.

Humans use periodically ridged fingertips to precisely perceive the characteristics of objects via i...

Visual Diagnostics of Dental Caries through Deep Learning of Non-Standardised Photographs Using a Hybrid YOLO Ensemble and Transfer Learning Model.

BACKGROUND: Access to oral healthcare is not uniform globally, particularly in rural areas with limi...

Stable isotope and trace element analyses with non-linear machine-learning data analysis improved coffee origin classification and marker selection.

BACKGROUND: This study investigated the geographical origin classification of green coffee beans fro...

Visual deep learning of unprocessed neuroimaging characterises dementia subtypes and generalises across non-stereotypic samples.

BACKGROUND: Dementia's diagnostic protocols are mostly based on standardised neuroimaging data colle...

A comparative analysis of human and AI performance in forensic estimation of physical attributes.

Human errors in criminal investigations have previously led to devastating miscarriages of justice. ...

Memory efficient model based deep learning reconstructions for high spatial resolution 3D non-cartesian acquisitions.

. Model based deep learning (MBDL) has been challenging to apply to the reconstruction of 3D non-Car...

Robot-assisted thoracic surgery for stages IIB-IVA non-small cell lung cancer: retrospective study of feasibility and outcome.

Robot-assisted thoracic surgery (RATS) for higher stages non-small cell lung carcinoma (NSCLC) remai...

Tritium: Its relevance, sources and impacts on non-human biota.

Tritium (H) is a radioactive isotope of hydrogen that is abundantly released from nuclear industries...

Ethical use of Artificial Intelligence in Health Professions Education: AMEE Guide No. 158.

Health Professions Education (HPE) has benefitted from the advances in Artificial Intelligence (AI) ...

A Natural Language Processing Model to Identify Confidential Content in Adolescent Clinical Notes.

BACKGROUND: The 21st Century Cures Act mandates the immediate, electronic release of health informat...

Ethics Principles for Artificial Intelligence-Based Telemedicine for Public Health.

The use of artificial intelligence (AI) in the field of telemedicine has grown exponentially over th...

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