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Medical Ethics / Professional Responsibility

Latest AI and machine learning research in medical ethics / professional responsibility for healthcare professionals.

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Scoping Review: Legal and Ethical Principles of Artificial Intelligence in Public Health.

The growing accessibility of large health datasets and AI's ability to analyze them offers significa...

Jun 2023 37387113
[Fostering Pharmacists to Succeed in a Drastically Changing Society].

In 2006, Japan's pharmaceutical science education was revised to a 6-year enrollment course, placing...

Jan 2023 37779015
Stiffness Adaptation of a Hybrid Soft Surgical Robot for Improved Safety in Interventional Surgery.

Minimally invasive instruments are inserted per-cutaneously and are steered toward the desired anato...

Jul 2022 36085721
A neural network-assisted open boundary molecular dynamics simulation method.

A neural network-assisted molecular dynamics method is developed to reduce the computational cost of...

May 2022 35568556
[Evaluation of brain injury caused by stick type blunt instruments based on convolutional neural network and finite element method].

The finite element method is a new method to study the mechanism of brain injury caused by blunt ins...

Apr 2022 35523548
APRNet: Alternative Prediction Refinement Network for Polyp Segmentation.

Colorectal cancer has become the second leading cause of cancer-related death, attracting considerab...

Nov 2021 34891901
DECODE: a Deep-learning framework for Condensing enhancers and refining boundaries with large-scale functional assays.

MOTIVATION: Mapping distal regulatory elements, such as enhancers, is a cornerstone for elucidating ...

Jul 2021 34252960
3D brain glioma segmentation in MRI through integrating multiple densely connected 2D convolutional neural networks.

To overcome the computational burden of processing three-dimensional (3D) medical scans and the lack...

Jun 2021 34128370
Mapping ethico-legal principles for the use of artificial intelligence in gastroenterology.

The rapid development of artificial intelligence (AI) and digital health raise concerns about equita...

May 2021 33955059
[The Clinical Effectiveness of Neural Network-based Boundary Recognition of Upper Abdominal Organs on CT Images].

OBJECTIVE: To assess the clinical effectiveness of boundary recognition of upper abdomen organs on C...

Mar 2021 33829707
Automatic quality assessment for 2D fetal sonographic standard plane based on multitask learning.

The quality control of fetal sonographic (FS) images is essential for the correct biometric measurem...

Jan 2021 33530242
Image quality improvement of single-shot turbo spin-echo magnetic resonance imaging of female pelvis using a convolutional neural network.

We have developed a deep learning-based approach to improve image quality of single-shot turbo spin-...

Nov 2020 33217817
A critical perspective on guidelines for responsible and trustworthy artificial intelligence.

Artificial intelligence (AI) is among the fastest developing areas of advanced technology in medicin...

Sep 2020 32236794
DNN-Dom: predicting protein domain boundary from sequence alone by deep neural network.

MOTIVATION: Accurate delineation of protein domain boundary plays an important role for protein engi...

Dec 2019 31197306
Investigation of Low-Dose CT Lung Cancer Screening Scan "Over-Range" Issue Using Machine Learning Methods.

Low-dose computed tomography (CT) lung cancer screening is recommended by the US Preventive Services...

Dec 2019 31102064
Recurrent Deep Network Models for Clinical NLP Tasks: Use Case with Sentence Boundary Disambiguation.

Although a number of foundational natural language processing (NLP) tasks like text segmentation are...

Aug 2019 31437913
Impact of De-Identification on Clinical Text Classification Using Traditional and Deep Learning Classifiers.

Clinical text de-identification enables collaborative research while protecting patient privacy and ...

Aug 2019 31437930
ConDo: protein domain boundary prediction using coevolutionary information.

MOTIVATION: Domain boundary prediction is one of the most important problems in the study of protein...

Jul 2019 30500873
Skeletal bone age assessments for young children based on regression convolutional neural networks.

Pediatricians and pediatric endocrinologists utilize Bone Age Assessment (BAA) for in-vestigations p...

Jul 2019 31698572
Boundary-aware Semi-supervised Deep Learning for Breast Ultrasound Computer-Aided Diagnosis.

Breast ultrasound (US) is an effective imaging modality for breast cancer diagnosis. US computer-aid...

Jul 2019 31946050
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