AIMC Topic: Humans

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Application of entire dental panorama image data in artificial intelligence model for age estimation.

BMC oral health
BACKGROUND: Accurate age estimation is vital for clinical and forensic purposes. With the rapid advancement of artificial intelligence(AI) technologies, traditional methods relying on tooth development, while reliable, can be enhanced by leveraging d...

Robot-assisted general surgery in Aotearoa New Zealand.

The New Zealand medical journal
Robot-assisted surgery refers to a surgeon controlling a robotic device that performs an operation. This viewpoint explores the current state of robot-assisted surgery in Aotearoa New Zealand using the da Vinci Surgical System (Intuitive Surgical, Su...

SEResUTer: a deep learning approach for accurate ECG signal delineation and atrial fibrillation detection.

Physiological measurement
Accurate detection of electrocardiogram (ECG) waveforms is crucial for computer-aided diagnosis of cardiac abnormalities. This study introduces SEResUTer, an enhanced deep learning model designed for ECG delineation and atrial fibrillation (AF) detec...

Explainable hierarchical clustering for patient subtyping and risk prediction.

Experimental biology and medicine (Maywood, N.J.)
We present a pipeline in which machine learning techniques are used to automatically identify and evaluate subtypes of hospital patients admitted between 2017 and 2021 in a large UK teaching hospital. Patient clusters are determined using routinely c...

An overview of machine learning and deep learning techniques for predicting epileptic seizures.

Journal of integrative bioinformatics
Epilepsy is a neurological disorder (the third most common, following stroke and migraines). A key aspect of its diagnosis is the presence of seizures that occur without a known cause and the potential for new seizures to occur. Machine learning has ...

Revolutionizing ocular cancer management: a narrative review on exploring the potential role of ChatGPT.

Frontiers in public health
This paper pioneers the exploration of ocular cancer, and its management with the help of Artificial Intelligence (AI) technology. Existing literature presents a significant increase in new eye cancer cases in 2023, experiencing a higher incidence ra...

Rapid screening for autoimmune diseases using Fourier transform infrared spectroscopy and deep learning algorithms.

Frontiers in immunology
INTRODUCE: Ankylosing spondylitis (AS), rheumatoid arthritis (RA), and osteoarthritis (OA) are three rheumatic immune diseases with many common characteristics. If left untreated, they can lead to joint destruction and functional limitation, and in s...

Predicting COVID-19 pandemic waves including vaccination data with deep learning.

Frontiers in public health
INTRODUCTION: During the recent COVID-19 pandemics, many models were developed to predict the number of new infections. After almost a year, models had also the challenge to include information about the waning effect of vaccines and by infection, an...

Digital health interventions for cervical cancer care: A systematic review and future research opportunities.

PloS one
BACKGROUND: Cervical cancer is a malignancy among women worldwide, which is responsible for innumerable deaths every year. The primary objective of this review study is to offer a comprehensive and synthesized overview of the existing literature conc...