Public Health & Policy

Ethics

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

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Fluo-Cast-Bright: a deep learning pipeline for the non-invasive prediction of chromatin structure and developmental potential in live oocytes.

In mammalian oocytes, large-scale chromatin organization regulates transcription, nuclear architectu...

XIS-PM: A daily spatiotemporal machine-learning model for PM in the contiguous United States.

Air-pollution monitoring is sparse across most of the United States, so geostatistical models are im...

Deep Learning Predicts Non-Normal Transmission Distributions in High-Field Asymmetric Waveform Ion Mobility (FAIMS) Directly from Peptide Sequence.

Peptide ion mobility adds an extra dimension of separation to mass spectrometry-based proteomics. Th...

Optimized Adaboost Support Vector Machine-Based Encryption for Securing IoT-Cloud Healthcare Data.

The Internet of Things (IoT) connects various medical devices that enable remote monitoring, which c...

Machine-learning model based on ultrasomics for non-invasive evaluation of fibrosis in IgA nephropathy.

OBJECTIVES: To develop and validate an ultrasomics-based machine-learning (ML) model for non-invasiv...

Non-parametric Bayesian deep learning approach for whole-body low-dose PET reconstruction and uncertainty assessment.

Positron emission tomography (PET) imaging plays a pivotal role in oncology for the early detection ...

ChatGPT 4.0's efficacy in the self-diagnosis of non-traumatic hand conditions.

BACKGROUND: With advancements in artificial intelligence, patients increasingly turn to generative A...

The 'Sandwich' meta-framework for architecture agnostic deep privacy-preserving transfer learning for non-invasive brainwave decoding.

. Machine learning has enhanced the performance of decoding signals indicating human behaviour. Elec...

AI, doping and ethics: On why increasing the effectiveness of detecting doping fraud in sport may be morally wrong.

In this article, our aim is to show why increasing the effectiveness of detecting doping fraud in sp...

Death risk prediction model for patients with non-traumatic intracerebral hemorrhage.

BACKGROUND: This study aimed to assess the risk of death from non-traumatic intracerebral hemorrhage...

Development of metastasis and survival prediction model of luminal and non-luminal breast cancer with weakly supervised learning based on pathomics.

OBJECTIVE: Breast cancer stands as the most prevalent form of cancer among women globally. This hete...

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