Latest AI and machine learning research in surveys for healthcare professionals.
In recent years, the adoption of 3D models for surgical planning and intraoperative guidance has gained a wide diffusion. The aim of this study was to evaluate the surgeons' perception and usability of ICON3D platform for robotic and laparoscopic urological surgical procedures. During the 10th edition of the Techno-Urology Meeting, surgeons and attendees had the opportunity to test the new ICON3...
Electroencephalography (EEG) evaluation is an important step in the clinical diagnosis of brain death during the standard clinical procedure. The processing of the brain-death EEG signals acquisition always carried out in the Intensive Care Unit (ICU). The electromagnetic environmental noise and prescribed sedative may erroneously suggest cerebral electrical activity, thus effecting the presentati...
Natural language processing (NLP) is an area of artificial intelligence that applies information technologies to process the human language, understan...
The validity and reliability of diagnoses in psychiatry is a challenging topic in mental health. The current mental health categorization is based pri...
Indole-3-acetic acid (IAA) represents a crucial phytohormone regulating specific tropic responses in plants and functions as a chemical signal between...
Reliability (repeatability or agreement) is assessed by different statistical tests including Pearson r or Spearman rho which is one of the common mis...
Machine learning methods are widely used within the medical field. However, the reliability and efficacy of these models is difficult to assess, makin...
: With the increased prevalence of patients with cancer, the demand for preparing cytotoxic drugs was increased by health-system pharmacists. To reduc...
Medical device reliability is the ability of medical devices to endure functioning and is indispensable to ensure service delivery to patients. Prefer...
Neural open-domain dialogue systems often fail to engage humans in long-term interactions on popular topics such as sports, politics, fashion, and ent...
In order to further improve the computing power of the information aggregation operator in the q-rung orthopair probabilistic hesitant fuzzy environme...
Many bat species navigate in complex, heavily vegetated habitats. To achieve this, the animal relies on a sensory basis that is very different from wh...
A new teaching format, the LecturePlus, was formulated as a lecture followed by small-group learning activities. This study assessed the effectiveness...
Currently, the aesthetic appearance and structure of the nose in a rhinoplasty patient is evaluated by a surgeon, without automation. To compare the...
The present study explores the plausibility of measuring personality indirectly through an artificial intelligence (AI) chatbot. This chatbot mines va...
BACKGROUND: Considering that the previously developed mortality prediction models have limited applications to the Chinese population, a questionnaire...
Literature reports several infectious diseases news validation approaches, but none is economically effective for collecting and classifying informati...
In this paper, an event-triggered impulsive control method is proposed to investigate the quasi-synchronization of drive-response systems with paramet...
RAPN training usually takes place in-vivo and methods vary across countries/institutions. No common system exists to objectively assess trainee capaci...
The COVID-19 pandemic is a critical public health concern that has disproportionately affected the Black community in the United States. The purpose o...