Public Health & Policy

Ethics

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

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Machine learning model outperforms the ACS Risk Calculator in predicting non-home discharge following primary total knee arthroplasty.

PURPOSE: Despite the increase in outpatient total knee arthroplasty (TKA) procedures, many patients ...

Deep learning for discriminating non-trivial conformational changes in molecular dynamics simulations of SARS-CoV-2 spike-ACE2.

Molecular dynamics (MD) simulations produce a substantial volume of high-dimensional data, and tradi...

Potential promises and perils of artificial intelligence in psychotherapy -The AI Psychotherapist (APT).

OBJECTIVE: Since the release of ChatGPT, popular demand has driven the use of social chatbots as pse...

Safeguarding Patients in the AI Era: Ethics at the Forefront of Pharmacovigilance.

Artificial intelligence is increasingly being used in pharmacovigilance. However, the use of artific...

Diagnosis of odontogenic keratocysts and non-keratocysts using edge attention convolution neural network.

BACKGROUND: The study's objective was to develop an automated method for a histopathology recognitio...

Length-scale study in deep learning prediction for non-small cell lung cancer brain metastasis.

Deep learning-assisted digital pathology has demonstrated the potential to profoundly impact clinica...

Integrating Catholic Social Teaching with AI Ethics to Address Inequity in AI Healthcare.

Artificial intelligence (AI) in healthcare can potentially improve patient outcomes, operational eff...

Discovery of Novel Biomarkers with Extended Non-Coding RNA Interactor Networks from Genetic and Protein Biomarkers.

Curated online interaction databases and gene ontology tools have streamlined the analysis of highly...

A review of machine learning methods for non-invasive blood pressure estimation.

Blood pressure is a very important clinical measurement, offering valuable insights into the hemodyn...

Real-Time Calibration-Free Musculotendon Kinematics for Neuromusculoskeletal Models.

Neuromusculoskeletal (NMS) models enable non-invasive estimation of clinically important internal bi...

Regulating AI in Mental Health: Ethics of Care Perspective.

This article contends that the responsible artificial intelligence (AI) approach-which is the domina...

Non-traumatic brachial plexopathy identification from routine MRIs: Retrospective studies with deep learning networks.

PURPOSE: This study aims to seek an optimized deep learning model for differentiating non-traumatic ...

Generative artificial intelligence and ethical considerations in health care: a scoping review and ethics checklist.

The widespread use of Chat Generative Pre-trained Transformer (known as ChatGPT) and other emerging ...

GEPAF: A non-monotonic generalized activation function in neural network for improving prediction with diverse data distributions characteristics.

The world today has made prescriptive analytics that uses data-driven insights to guide future actio...

Artificial intelligence and health-related data: The patient's best interest and data ownership dilemma.

The rapid advancement of artificial intelligence (AI) in healthcare has the potential to revolutioni...

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