Ethics

Complementary multi-modality molecular self-supervised learning via non-overlapping masking for property prediction.

Self-supervised learning plays an important role in molecular representation learning because labele...

Six-gene prognostic signature for non-alcoholic fatty liver disease susceptibility using machine learning.

BACKGROUND: nonalcoholic fatty liver disease (NAFLD) is a common liver disease affecting the global ...

[The ethics of IA in medicine must be based on the practical ethics of the healthcare relationship].

THE ETHICS OF IA IN MEDICINE MUST BE BASED ON THE PRACTICAL ETHICS OF THE HEALTHCARE RELATIONSHIP. A...

AI ethics in dental practice.

Clinical Validation of Artificial Intelligence-Powered PD-L1 Tumor Proportion Score Interpretation for Immune Checkpoint Inhibitor Response Prediction in Non-Small Cell Lung Cancer.

PURPOSE: Evaluation of PD-L1 tumor proportion score (TPS) by pathologists has been very impactful bu...

Symbiosis of Technology and Ethics: Preliminary Results of an Inquiry into the Moral Dimensions in the Use of Robotic Systems in Patient Care.

The present study aims to describe ethical and social requirements for technical and robotic systems...

TransPTM: a transformer-based model for non-histone acetylation site prediction.

Protein acetylation is one of the extensively studied post-translational modifications (PTMs) due to...

[ChatGPT: aid to medical ethics decision making?].

BACKGROUND: Physicians have to make countless decisions every day. The medical, ethical and legal as...

Minimally invasive surgery for clinical T4 non-small-cell lung cancer: national trends and outcomes.

OBJECTIVES: Recent randomized data support the perioperative benefits of minimally invasive surgery ...

An Overarching Framework for the Ethics of Artificial Intelligence in Pediatrics.

[ChatGPT in clinical practice: prospects and challenges].

Virtually unknown to the greater public before November 2022, ChatGPT was made available in open acc...

Stockholm declaration on AI ethics: why others should sign.

Untrained Network for Super-resolution for Non-contrast-enhanced Wholeheart MRI Acquired using Cardiac-triggered REACT (SRNN-REACT).

BACKGROUND: Three-dimensional (3D) whole-heart magnetic resonance imaging (MRI) is an excellent tool...

The Prospect of Artificial Intelligence-Supported Ethics Review.

The burden of research ethics review falls not just on researchers, but also on those who serve on r...

Focusing a Bioethics Lens on the Development and Use of Artificial Intelligence in Medicine and Neurosurgery.

The rapid pace of development and application of digital technology and data science, including arti...

Patient Autonomy in Medical Education: Navigating Ethical Challenges in the Age of Artificial Intelligence.

The increasing integration of Artificial Intelligence (AI) in the medical domain signifies a transfo...

Identification and Prioritization of Health Indexes in Nomadic Tribespeople by Fuzzy Delphi Method: An Ecological Study.

The migratory lifestyle of nomadic communities, combined with the lack of a suitable health-related ...

New training, new attitudes: non-clinical components in Ukrainian medical PHDs training (regarding critical thinking, academic integrity and artificial intelligence use).

OBJECTIVE: Aim: The paper studies the attitude to critical thinking, academic integrity and the Arti...

Novel predictive approaches for drug-induced convulsions in non-human primates using machine learning and heart rate variability analysis.

Drug-induced convulsions are a major challenge to drug development because of the lack of reliable b...

Classification of DNA Sequence Based on a Non-gradient Algorithm: Pseudoinverse Learners.

This chapter proposes a prototype-based classification approach for analyzing DNA barcodes that uses...

CT-based intratumoral and peritumoral deep transfer learning features prediction of lymph node metastasis in non-small cell lung cancer.

BACKGROUND: The main metastatic route for lung cancer is lymph node metastasis, and studies have sho...