Facial sentiment analysis using AI techniques: state-of-the-art, taxonomies, and challenges
… Although the advancements in FER increases its effectiveness, … of AI. Motivated from the
aforementioned fact, we present a comprehensive survey on FER using Artificial Intelligence (AI) …
aforementioned fact, we present a comprehensive survey on FER using Artificial Intelligence (AI) …
[HTML][HTML] Potential, challenges and future directions for deep learning in prognostics and health management applications
Deep learning applications have been thriving over the last decade in many different
domains, including computer vision and natural language understanding. The drivers for the …
domains, including computer vision and natural language understanding. The drivers for the …
Artificial intelligence in dentistry: chances and challenges
F Schwendicke, W Samek… - Journal of dental …, 2020 - journals.sagepub.com
… advances will be achieved in the field of embodied AI. These … to current narrow AI system
which only solve specific tasks (… .), embodied AI aims to solve complex tasks similar to humans…
which only solve specific tasks (… .), embodied AI aims to solve complex tasks similar to humans…
Machine learning in medical applications: A review of state-of-the-art methods
… complex challenges in recent years in various application … a comprehensive review of the
use of ML in the medical field … As mentioned above, ML is considered a popular AI application …
use of ML in the medical field … As mentioned above, ML is considered a popular AI application …
Artificial intelligence with multi-functional machine learning platform development for better healthcare and precision medicine
… These miscalculations can be reduced to a great extent with the use of advancements in …
; and addressing ethical issues related to AI and ML implementation in healthcare. …
; and addressing ethical issues related to AI and ML implementation in healthcare. …
Role of emerging technologies in future IoT-driven Healthcare 4.0 technologies: A survey, current challenges and future directions
… This advancement has only been possible because of the integration of cutting-edge … Using
artificial intelligence, we can predict the dangerous diseases that occur at old-age from the …
artificial intelligence, we can predict the dangerous diseases that occur at old-age from the …
Artificial intelligence biosensors: Challenges and prospects
… analysis and achieve improved diagnostic and therapeutic accuracy. This review intended
to introduce the most recent progress of AI-… and decision applied in AI-biosensors in the past …
to introduce the most recent progress of AI-… and decision applied in AI-biosensors in the past …
Integrating digital technologies and public health to fight Covid-19 pandemic: key technologies, applications, challenges and outlook of digital healthcare
… systematic and comprehensive review of digital healthcare, with … and artificial intelligence
(AI) are widely used in health care [… AI-based medical robot is a major advancement in modern …
(AI) are widely used in health care [… AI-based medical robot is a major advancement in modern …
AI-based modeling: techniques, applications and research issues towards automation, intelligent and smart systems
IH Sarker - SN Computer Science, 2022 - Springer
… principles of various AI techniques and their applicability to the advancement of computing
and … smart systems based on artificial intelligence techniques in relevant application domains. …
and … smart systems based on artificial intelligence techniques in relevant application domains. …
Advances, challenges and opportunities in creating data for trustworthy AI
… —to make AI more reliable. We highlight technical advances that help to make the data-for-AI …
It is not scoped to be a comprehensive review because data-centric AI methodology is in its …
It is not scoped to be a comprehensive review because data-centric AI methodology is in its …