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When combinations of humans and AI are useful: A systematic review and meta-analysis.

Inspired by the increasing use of artificial intelligence (AI) to augment humans, researchers have s...

Sparse Coding Inspired LSTM and Self-Attention Integration for Medical Image Segmentation.

Accurate and automatic segmentation of medical images plays an essential role in clinical diagnosis ...

Harnessing explainable artificial intelligence for patient-to-clinical-trial matching: A proof-of-concept pilot study using phase I oncology trials.

This study aims to develop explainable AI methods for matching patients with phase 1 oncology clinic...

Deep-AutoMO: Deep automated multiobjective neural network for trustworthy lesion malignancy diagnosis in the early stage via digital breast tomosynthesis.

Breast cancer is the most prevalent cancer in women, and early diagnosis of malignant lesions is cru...

From pre-training to fine-tuning: An in-depth analysis of Large Language Models in the biomedical domain.

In this study, we delve into the adaptation and effectiveness of Transformer-based, pre-trained Larg...

Pre-training strategy for antiviral drug screening with low-data graph neural network: A case study in HIV-1 K103N reverse transcriptase.

Graph neural networks (GNN) offer an alternative approach to boost the screening effectiveness in dr...

The Digital Transformation in Health: How AI Can Improve the Performance of Health Systems.

Mobile health has the potential to revolutionize health care delivery and patient engagement. In thi...

Transfer Learning With Active Sampling for Rapid Training and Calibration in BCI-P300 Across Health States and Multi-Centre Data.

Machine learning and deep learning advancements have boosted Brain-Computer Interface (BCI) performa...

Current Radiology workforce perspective on the integration of artificial intelligence in clinical practice: A systematic review.

INTRODUCTION: Artificial Intelligence (AI) represents the application of computer systems to tasks t...

A systematic review of generalization research in medical image classification.

Numerous Deep Learning (DL) classification models have been developed for a large spectrum of medica...

GO-MAE: Self-supervised pre-training via masked autoencoder for OCT image classification of gynecology.

Genitourinary syndrome of menopause (GSM) is a physiological disorder caused by reduced levels of oe...

Enhancing Data Science and Genomics Capacity of a Historically Black Medical College Through Interdisciplinary Training and Research Collaborations.

As data grows exponentially across diverse fields, effectively leveraging big data has become increa...

Mastery Learning Guided by Artificial Intelligence Is Superior to Directed Self-Regulated Learning in Flexible Bronchoscopy Training: An RCT.

INTRODUCTION: Simulation-based training has proven effective for learning flexible bronchoscopy. How...

Deciphering the impact of cascade reservoirs on nitrogen transport and nitrate transformation: Insights from multiple isotope analysis and machine learning.

Construction of cascade reservoirs has altered nutrient dynamics and biogeochemical cycles, thereby ...

Artificial intelligence-driven pharmaceutical industry: A paradigm shift in drug discovery, formulation development, manufacturing, quality control, and post-market surveillance.

The advent of artificial intelligence (AI) has catalyzed a profound transformation in the pharmaceut...

Artificial intelligence for training and reporting infection prevention measures in critical wards.

Predicting photosynthetic bacteria-derived protein synthesis from wastewater using machine learning and causal inference.

Causal inference-assisted machine learning was used to predict photosynthetic bacterial (PSB) protei...

AI-generated vs. student-crafted assignments and implications for evaluating student work in nursing: an exploratory reflection.

OBJECTIVES: Chat Generative Pre-Trained Transformer (ChatGPT) is an artificial intelligence-powered ...

Impact of Artificial Intelligence-Based Technology on Nurse Management: A Systematic Review.

To describe the use of artificial intelligence (AI) by nurse managers to enhance management, leader...

Classification of Internal and External Distractions in an Educational VR Environment Using Multimodal Features.

Virtual reality (VR) can potentially enhance student engagement and memory retention in the classroo...

Using Machine Learning on MRI Radiomics to Diagnose Parotid Tumours Before Comparing Performance with Radiologists: A Pilot Study.

The parotid glands are the largest of the major salivary glands. They can harbour both benign and ma...