Artificial intelligence (AI) and internet of medical things (IoMT) assisted biomedical systems for intelligent healthcare

P Manickam, SA Mariappan, SM Murugesan, S Hansda… - Biosensors, 2022 - mdpi.com
Artificial intelligence (AI) is a modern approach based on computer science that develops
programs and algorithms to make devices intelligent and efficient for performing tasks that …

A systematic review of IoT in healthcare: Applications, techniques, and trends

MH Kashani, M Madanipour, M Nikravan… - Journal of Network and …, 2021 - Elsevier
Abstract Internet of Things (IoT) is an ever-expanding ecosystem that integrates software,
hardware, physical objects, and computing devices to communicate, collect, and exchange …

IoT in smart cities: A survey of technologies, practices and challenges

AS Syed, D Sierra-Sosa, A Kumar, A Elmaghraby - Smart Cities, 2021 - mdpi.com
Internet of Things (IoT) is a system that integrates different devices and technologies,
removing the necessity of human intervention. This enables the capacity of having smart (or …

IoT-based healthcare-monitoring system towards improving quality of life: A review

S Abdulmalek, A Nasir, WA Jabbar, MAM Almuhaya… - Healthcare, 2022 - mdpi.com
The Internet of Things (IoT) is essential in innovative applications such as smart cities, smart
homes, education, healthcare, transportation, and defense operations. IoT applications are …

Machine learning in mental health: A systematic review of the HCI literature to support the development of effective and implementable ML systems

A Thieme, D Belgrave, G Doherty - ACM Transactions on Computer …, 2020 - dl.acm.org
High prevalence of mental illness and the need for effective mental health care, combined
with recent advances in AI, has led to an increase in explorations of how the field of machine …

Recent advances on IoT-assisted wearable sensor systems for healthcare monitoring

SD Mamdiwar, Z Shakruwala, U Chadha, K Srinivasan… - Biosensors, 2021 - mdpi.com
IoT has played an essential role in many industries over the last few decades. Recent
advancements in the healthcare industry have made it possible to make healthcare …

[HTML][HTML] Explainable, trustworthy, and ethical machine learning for healthcare: A survey

K Rasheed, A Qayyum, M Ghaly, A Al-Fuqaha… - Computers in Biology …, 2022 - Elsevier
With the advent of machine learning (ML) and deep learning (DL) empowered applications
for critical applications like healthcare, the questions about liability, trust, and interpretability …

Analysis of factors affecting IoT-based smart hospital design

BÇ Uslu, E Okay, E Dursun - Journal of Cloud Computing, 2020 - Springer
Currently, rapidly develo** digital technological innovations affect and change the
integrated information management processes of all sectors. The high efficiency of these …

Otsu's thresholding technique for MRI image brain tumor segmentation

MT Nyo, F Mebarek-Oudina, SS Hlaing… - Multimedia tools and …, 2022 - Springer
MRI image segmentation is very challenging area in medical image processing. It is
implemented with the low contract of MRI scan. In terms of certain input features or expert …

A hybrid framework for multimedia data processing in IoT-healthcare using blockchain technology

G Rathee, A Sharma, H Saini, R Kumar… - Multimedia Tools and …, 2020 - Springer
Through the propagation of technology in recent years, people communicate in a range of
ways via multimedia. The use of multimedia technique in healthcare system also makes it …