Artificial intelligence in cancer diagnosis and therapy: Current status and future perspective

M Sufyan, Z Shokat, UA Ashfaq - Computers in Biology and Medicine, 2023 - Elsevier
Artificial intelligence (AI) in healthcare plays a pivotal role in combating many fatal diseases,
such as skin, breast, and lung cancer. AI is an advanced form of technology that uses …

AI-powered diagnosis of skin cancer: a contemporary review, open challenges and future research directions

N Melarkode, K Srinivasan, SM Qaisar, P Plawiak - Cancers, 2023 - mdpi.com
Simple Summary The proposed research aims to provide a deep insight into the deep
learning and machine learning techniques used for diagnosing skin cancer. While …

Enhancing artificial intelligence control mechanisms: current practices, real life applications and future views

UA Usmani, A Happonen, J Watada - Proceedings of the Future …, 2022 - Springer
Abstract The popularity of Artificial Intelligence has grown lately with the potential it promises
for revolutionizing a wide range of different sectors. To achieve the change, whole …

A review of unsupervised machine learning frameworks for anomaly detection in industrial applications

UA Usmani, A Happonen, J Watada - Science and Information Conference, 2022 - Springer
Unsupervised learning, also known as unsupervised machine learning, analyzes and
clusters unlabeled data utlizing machine learning techniques. Without human input, these …

Secure integration of IoT-enabled sensors and technologies: Engineering applications for humanitarian impact

UA Usmani, A Happonen… - 2023 5th International …, 2023 - ieeexplore.ieee.org
The Internet of Things (IoT) has revolutionized interaction with technology, enabling
seamless connectivity and data exchanges, opening up new possibilities for engineering …

Blockchain-Assisted Homomorphic Encryption Approach for Skin Lesion Diagnosis using Optimal Deep Learning Model

K Rajeshkumar, C Ananth, N Mohananthini - Engineering, Technology & …, 2023 - etasr.com
Blockchain (BC) and Machine learning (ML) technologies have been investigated for
potential applications in medicine with reasonable success to date. On the other hand, as …

Artificial Intelligence Applications in Healthcare

UA Usmani, A Happonen, J Watada… - International Congress on …, 2023 - Springer
The demand of healthcare services is rising, for eg, Europe and the US are experiencing
shortage of healthcare professionals. Artificial intelligence (AI) holds a promise to assist …

Enabling Intelligent Decision Making: Harnessing Advanced Management Strategies for Enhanced Organizational Efficiency and Effectiveness

UA Usmani, MU Usmani… - … Conference on Computing …, 2023 - ieeexplore.ieee.org
In today's dynamic and complex business landscape, effective management and decision-
making are crucial for organizations to thrive and adapt. The integration of intelligent …

Advancements in skin cancer classification: a review of machine learning techniques in clinical image analysis

G Yang, S Luo, P Greer - Multimedia Tools and Applications, 2024 - Springer
Early detection of skin cancer from skin lesion images using visual inspection can be
challenging. In recent years, research in applying deep learning models to assist in the …

ERP Integration: Enhancing Collaboration in Virtual and Extended Enterprises

UA Usmani, A Happonen, J Watada - World Conference on Information …, 2023 - Springer
With the continued embracement of digital transformation, the need for efficient collaboration
and communication between departments and partners becomes increasingly important …