Latest AI and machine learning research in surveys for healthcare professionals.
Collaborative Robots-CoBots-are emerging as a promising technological aid for workers. To date, most CoBots merely share their workspace or collaborate without contact, with their human partners. We claim that robots would be much more beneficial if they physically collaborated with the worker, on high payload tasks. To move high payloads, while remaining safe, the robot should use two or more lig...
The use of artificial intelligence technologies (AIT) in medicine is increasing worldwide. In this study, it was aimed to evaluate the experiences, opinions, and future expectations of medical oncologists on artificial intelligence (AI). After the reliability and validity analyses were carried out by a pilot study, the main online questionnaire was sent to the members of the "Turkish Society of Me...
In recent years, there has been an enormous interest in using deep learning to classify underwater images to identify various objects, such as fishes,...
China's economy has progressed from a rapid growth phase to one of high-quality development and innovation. Industry 4.0 manufacturing technology and ...
Body motion tracking for medical applications has the potential to improve quality of life for people with physical or speech motor disorders. Current...
Artificial intelligence recommendations are sometimes erroneous and biased. In our research, we hypothesized that people who perform a (simulated) med...
The application of machine learning (ML) has shown promising results in precision medicine due to its exceptional performance in dealing with complex ...
A team of tribe-based behavioral health specialists and university-based researchers partnered to implement a cluster randomized trial for the prevent...
Pentafecta (continence, potency, cancer control, free surgical margins, and no complications) is an important outcome of prostatectomy. Our objective ...
This study aimed to propose a fully automatic posteroanterior (PA) cephalometric landmark identification model using deep learning algorithms and comp...
OBJECTIVES: To evaluate the reliability and validity of the Artificial Intelligence Performance Instrument (AIPI).
Various forms of artificial intelligence (AI) applications are being deployed and used in many healthcare systems. As the use of these applications in...
BACKGROUND: Food frequency questionnaires (FFQs) are one of the most useful tools for studying and understanding diet-disease relationships. However, ...
BACKGROUND While there is a growing body of research examining opinions on social robots in elderly care, there is a lack of comprehensive studies inv...
With the advances in technology and data science, machine learning (ML) is being rapidly adopted by the health care sector. However, there is a lack o...
Traditional methods of personality assessment, and survey-based research in general, cannot make inferences about new items that have not been surveye...
Artificial Intelligence (AI) is increasingly influential across various sectors, including healthcare, with the potential to revolutionize clinical pr...
In this review, concepts of algorithmic bias and fairness are defined qualitatively and mathematically. Illustrative examples are given of what can go...
Retinopathy is the primary cause of irreversible yet preventable blindness. Numerous deep-learning algorithms have been developed for automatic retina...
Preoperative radiological identification of mandibular canals is essential for maxillofacial surgery. This study demonstrates the reproducibility of a...