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Surveys

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

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A Survey on Confidence Calibration of Deep Learning-Based Classification Models Under Class Imbalance Data.

Confidence calibration in classification models is a vital technique for accurately estimating the p...

Test-retest reliability of kinematic and EEG low-beta spectral features in a robot-based arm movement task.

Low-beta (L, 13-20 Hz) power plays a key role in upper-limb motor control and afferent processing, m...

A machine learning-driven prediction of Hammett constants using quantum chemical and structural descriptors.

Understanding and predicting chemical reaction behavior is a fundamental challenge in chemistry. The...

The Use of Artificial Intelligence in Residency Application Evaluation-A Scoping Review.

Several residency programs have begun investigating artificial intelligence (AI) methods to facilit...

A scoping review and evidence gap analysis of clinical AI fairness.

The ethical integration of artificial intelligence (AI) in healthcare necessitates addressing fairne...

ChatGPT: Pharmacy students' perceptions, current use trends, ethical awareness, standards of ethics, prospects and recommendations for future use.

The launch of ChatGPT by OpenAI reflected a significant turning point in the search and management o...

Role of large language models in mental health research: an international survey of researchers' practices and perspectives.

BACKGROUND: Large language models (LLMs) offer significant potential to streamline research workflow...

Towards more reliable prostate cancer detection: Incorporating clinical data and uncertainty in MRI deep learning.

Prostate cancer (PCa) is one of the most common cancers among men, and artificial intelligence (AI) ...

Second-generation downscaled earth system model data using generative machine learning.

The second-generation Sup3rCC dataset provides high-resolution meteorological data generated through...

Statistical consideration in nephrology research.

Nephrology research plays an important role in advancing our understanding of kidney disease and imp...

MoS Channel-Enhanced High-Density Charge Trap Flash Memory and Machine Learning-Assisted Sensing Methodologies for Memory-Centric Computing Systems.

Driven by the shift of artificial intelligence (AI) workloads to edge devices, there is a growing de...

Enhancing Healthcare Data Integration: A Machine Learning Approach to Harmonizing Laboratory Labels.

Variations in laboratory test names across healthcare systems-stemming from inconsistent terminologi...

Advancing respiratory disease diagnosis: A deep learning and vision transformer-based approach with a novel X-ray dataset.

With the increasing prevalence of respiratory diseases such as pneumonia and COVID-19, timely and ac...

Prediction of Bone Formation Rate of Artificial Bone With Machine Learning Models Considering the Variation of Experimental Results.

The proportion of older people in the world's total population is expected to increase. Bone disease...

Tailoring task arithmetic to address bias in models trained on multi-institutional datasets.

OBJECTIVE: Multi-institutional datasets are widely used for machine learning from clinical data, to ...

Data-Driven Review on Aerogels and Polymeric Aerogels.

A thoroughly data-driven review on the chemistry, properties, and applications of aerogels is provid...

The Current State of Artificial Intelligence on Detecting Pulmonary Embolism via Computerised Tomography Pulmonary Angiogram: A Systematic Review.

Pulmonary embolism (PE) is a life-threatening condition with significant diagnostic challenges due ...

Discovery and affinity maturation of antibody fragments from an unfavorably enriched phage display selection by deep sequencing and machine learning.

Phage display selection has been used for directed evolution of antibody fragments. However, variant...

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