AIMC Topic: Artificial Intelligence

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Artificial Intelligence: Potential for the Future.

Professional case management
Artificial Intelligence (AI) is here to stay. Fear and reservations still abound; however, many large institutions are developing and researching new treatments for diseases that may help our patients/clients in the near future.

Artificial intelligence-based multimodal prediction for nuclear grading status and prognosis of clear cell renal cell carcinoma: a multicenter cohort study.

International journal of surgery (London, England)
BACKGROUND: The assessment of the International Society of Urological Pathology (ISUP) nuclear grade is crucial for the management and treatment of clear cell renal cell carcinoma (ccRCC). This study aimed to explore the value of using integrated mul...

The third wheel or the game changer? How AI could team up with neurologists in Parkinson's care.

Parkinsonism & related disorders
INTRODUCTION: Parkinson's disease (PD) is a progressive neurodegenerative disorder marked by diverse motor and non-motor symptoms. AI appears to be the elephant in the neurologist's room, albeit offering transformative potential in early diagnosis, p...

AI-Enabled IoT for Food Computing: Challenges, Opportunities, and Future Directions.

Sensors (Basel, Switzerland)
Food computing refers to the integration of digital technologies, such as artificial intelligence (AI), the Internet of Things (IoT), and data-driven approaches, to address various challenges in the food sector. It encompasses a wide range of technol...

Real-Time American Sign Language Interpretation Using Deep Learning and Keypoint Tracking.

Sensors (Basel, Switzerland)
Communication barriers pose significant challenges for the Deaf and Hard-of-Hearing (DHH) community, limiting their access to essential services, social interactions, and professional opportunities. To bridge this gap, assistive technologies leveragi...

Developing a high-performance AI model for spontaneous intracerebral hemorrhage mortality prediction using machine learning in ICU settings.

BMC medical informatics and decision making
BACKGROUND: Spontaneous intracerebral hemorrhage (SICH) is a devastating condition that significantly contributes to high mortality rates. This study aims to construct a mortality prediction model for patients with SICH using four various artificial ...

Detection of cotton crops diseases using customized deep learning model.

Scientific reports
The agricultural industry is experiencing revolutionary changes through the latest advances in artificial intelligence and deep learning-based technologies. These powerful tools are being used for a variety of tasks including crop yield estimation, c...

The role of artificial intelligence in shaping nursing education: A comprehensive systematic review.

Nurse education in practice
AIM: This systematic review assesses AI's application, effectiveness and impact on nursing education, while identifying research limitations.

Comparative Assessment of Manual Segmentation of Cerebral Infarction Lesions in Experimental Animals Based on Magnetic Resonance Imaging Using Artificial Intelligence.

Bulletin of experimental biology and medicine
The aim of this study was to evaluate the quality of manual segmentation of cerebral infarction lesions in experimental animals with modeled brain infarct based on magnetic resonance imaging compared to an automated artificial intelligence approach. ...

Bibliometric and LDA analysis of acute rejection in liver transplantation: Emerging trends, immunotherapy challenges, and the role of artificial intelligence.

Cell transplantation
With the rising demand for liver transplantation (LT), research on acute rejection (AR) has become increasingly diverse, yet no consensus has been reached. This study presents a bibliometric and latent Dirichlet allocation (LDA) topic modeling analys...