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

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Artificial Intelligence and Machine Learning May Resolve Health Care Information Overload.

Biomedical information doubles almost every 2 months, and this very rate is expected to double by 20...

Modelling dataset bias in machine-learned theories of economic decision-making.

Normative and descriptive models have long vied to explain and predict human risky choices, such as ...

Using Artificial Intelligence to Predict Intracranial Hypertension in Patients After Traumatic Brain Injury: A Systematic Review.

Intracranial hypertension (IH) is a key driver of secondary brain injury in patients with traumatic ...

A survey on the role of artificial intelligence in managing Long COVID.

In the last years, several techniques of artificial intelligence have been applied to data from COVI...

CanVaxKB: a web-based cancer vaccine knowledgebase.

Cancer vaccines have been increasingly studied and developed to prevent or treat various types of ca...

Association between plain water intake and risk of hypertension: longitudinal analyses from the China Health and Nutrition Survey.

OBJECTIVE: This study aimed to investigate the prospective association between plain water intake an...

Opportunities for synthetic data in nature and climate finance.

This paper delves into the intricacies of synthetic data, emphasizing its growing significance in th...

Using skeletal position to estimate human error rates in telemanipulator operators.

In current telerobotics and telemanipulator applications, operators must perform a wide variety of t...

From Data to Decisions: How Artificial Intelligence Is Revolutionizing Clinical Prediction Models in Plastic Surgery.

The impact of clinical prediction models within artificial intelligence (AI) and machine learning is...

Measuring Implicit Bias in ICU Notes Using Word-Embedding Neural Network Models.

BACKGROUND: Language in nonmedical data sets is known to transmit human-like biases when used in nat...

Reliability of large language models in managing odontogenic sinusitis clinical scenarios: a preliminary multidisciplinary evaluation.

PURPOSE: This study aimed to evaluate the utility of large language model (LLM) artificial intellige...

Chinese experts' consensus on the application of intensive care big data.

The development of intensive care medicine is inseparable from the diversified monitoring data. Inte...

Will it run?-A proof of concept for smoke testing decentralized data analytics experiments.

The growing interest in data-driven medicine, in conjunction with the formation of initiatives such ...

Evaluation of Reliability of the Luna EMG Rehabilitation Robot to Assess Proprioception in the Upper Limbs in 102 Healthy Young Adults.

BACKGROUND Proprioception, the body's ability to perceive its own position and movement, is fundamen...

A longitudinal study on artificial intelligence adoption: understanding the drivers of ChatGPT usage behavior change in higher education.

As the field of artificial intelligence (AI) continues to progress, the use of AI-powered chatbots, ...

The integration and implications of artificial intelligence in forensic science.

This commentary explores the integration of artificial intelligence (AI) in forensic science and its...

[Artificial intelligence and secure use of health data in the KI-FDZ project: anonymization, synthetization, and secure processing of real-world data].

The increasing digitization of the healthcare system is leading to a growing volume of health data. ...

Challenges of artificial intelligence in medicine and dermatology.

Artificial intelligence (AI) in medicine and dermatology brings additional challenges related to bia...

Detection and prediction of pathogenic microorganisms in aquaculture (Zhejiang Province, China).

The detection and prediction of pathogenic microorganisms play a crucial role in the sustainable dev...

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