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Artificial intelligence with multi-functional machine learning platform development for better healthcare and precision medicine
Precision medicine is one of the recent and powerful developments in medical care, which
has the potential to improve the traditional symptom-driven practice of medicine, allowing …
has the potential to improve the traditional symptom-driven practice of medicine, allowing …
Introduction to artificial intelligence in medicine
Y Mintz, R Brodie - Minimally Invasive Therapy & Allied …, 2019 - Taylor & Francis
Abstract The term Artificial Intelligence (AI) was coined by John McCarthy in 1956 during a
conference held on this subject. However, the possibility of machines being able to simulate …
conference held on this subject. However, the possibility of machines being able to simulate …
Exponentially weighted moving average charts for detecting concept drift
Classifying streaming data requires the development of methods which are computationally
efficient and able to cope with changes in the underlying distribution of the stream, a …
efficient and able to cope with changes in the underlying distribution of the stream, a …
Computer-aided tumor detection in endoscopic video using color wavelet features
We present an approach to the detection of tumors in colonoscopic video. It is based on a
new color feature extraction scheme to represent the different regions in the frame …
new color feature extraction scheme to represent the different regions in the frame …
CoLD: a versatile detection system for colorectal lesions in endoscopy video-frames
In this paper, we present CoLD (colorectal lesions detector) an innovative detection system
to support colorectal cancer diagnosis and detection of pre-cancerous polyps, by processing …
to support colorectal cancer diagnosis and detection of pre-cancerous polyps, by processing …
Neural network-based colonoscopic diagnosis using on-line learning and differential evolution
In this paper, on-line training of neural networks is investigated in the context of computer-
assisted colonoscopic diagnosis. A memory-based adaptation of the learning rate for the on …
assisted colonoscopic diagnosis. A memory-based adaptation of the learning rate for the on …
Artificial neural networks in biomedical engineering: a review
R Nayak, LC Jain, BKH Ting - … Mechanics–New Frontiers for the New …, 2001 - Elsevier
This paper presents a review of applications of artificial neural networks in biomedical
engineering area. Artificial neural networks in general are explained; some limitations and …
engineering area. Artificial neural networks in general are explained; some limitations and …
Soft computing and machine learning techniques for e-health data analytics
B Brahma, HK Bhuyan - Connected e-Health: Integrated IoT and Cloud …, 2022 - Springer
Medical diagnosis has been a vital part of the healthcare system. The role of computer aided
systems is important to identify the exact diseases by testing the different parts of human …
systems is important to identify the exact diseases by testing the different parts of human …
[PDF][PDF] Revolutionizing medical practice: The impact of artificial intelligence (AI) on healthcare
S Javanmard - OA J Applied Sci Technol, 2024 - academia.edu
The twenty-first century has witnessed significant advancements in informatics, resha**
our understanding of data processing and accessibility. Artificial intelligence (AI) …
our understanding of data processing and accessibility. Artificial intelligence (AI) …
λ‐Perceptron: An adaptive classifier for data streams
Streaming data introduce challenges mainly due to changing data distributions (population
drift). To accommodate population drift we develop a novel linear adaptive online …
drift). To accommodate population drift we develop a novel linear adaptive online …