الصفحة 3
الصفحة 3
Artificial intelligence in medicine
Provides a structured and analytical guide to the use of artificial intelligence in medicine. Covering all areas within medicine, the chapters give a systemic review of the history, scientific foundations, present advances, potential trends, and future challenges of artificial intelligence within a healthcare setting.
Artificial intelligence in drug design
Looks at applications of artificial intelligence (AI), machine learning (ML), and deep learning (DL) in drug design. The chapters in this book describe how AI/ML/DL approaches can be applied to accelerate and revolutionize traditional drug design approaches such as: structure- and ligand-based, augmented and multi-objective de novo drug design, SAR and big data analysis, prediction of binding/activity, ADMET, pharmacokinetics and drug-target residence time, precision medicine and selection of favorable chemical synthetic routes. How broadly are these approaches applied and where do they maximally impact productivity today and potentially in the near future.
AI in clinical practice : A guide to artificial intelligence and digital medicine
Explains how artificial intelligence is applied to medicine, illustrating not only its enormous potential but also ancillary issues and the limits and risks inherent in its use on a large scale. The book focuses on the intersection between medicine and AI and its implications on the impact of human health care delivery. Topics discussed include wearable devices, health data, Internet of Things, virtual reality, robotic assistance system, and digital intelligence in the health sector. Additionally, sections discuss diagnostics and decision-making systems and machine/deep learning in clinical setting.
AI in clinical medicine : A practical guide for healthcare professionals
A Practical Guide for Healthcare Professionals is the definitive reference book for the emerging and exciting use of AI throughout clinical medicine. AI in Clinical Medicine: A Practical Guide for Healthcare Professionals is divided into four sections. Section 1 provides readers with the basic vocabulary that they require, a framework for AI, and highlights the importance of robust AI training for physicians. Section 2 reviews foundational ideas and concepts, including the history of AI. Section 3 explores how AI is applied to specific disciplines. Section 4 describes emerging trends, and applications of AI in medicine in the future.
Advanced soft electronics in biomedical engineering : materials, manufactures, and applications
Presents the latest advances in soft electronics in biomedical engineering and its potential applications in various biomedical fields. Provide comprehensive coverage of how soft electronics are used in diagnostics and monitoring, medical therapy, neural engineering, and wearable and implantable systems. In particular, some emerging research areas such as advanced soft robotics, fiber sensing technologies, and power optimization strategies are explored. In addition, the book highlights international standardization activities in wearable technologies and implantable bioelectronics.
3rd Kuala Lumpur International Conference on Biomedical Engineering 2006 ; Biomed 2006, 11-14 December 2006, Kuala Lumpur, Malaysia
The Kuala Lumpur International Conference on Biomedical Engineering (Biomed 2006) was held from 11 to 14 December 2006 at the Palace of the Golden Horses, Kuala Lumpur, Malaysia. This international conference was jointly organised by the Department of Biomedical Engineering, University of Malaya, Malaysia; Department of Biomedical Engineering, Inje University, Korea; and Malaysian Society of Medical and Biological Engineering. The papers presented at Biomed 2006 cover the following areas: artificial intelligence, biological effects of non-ionising electromagnetic fields, biomaterials, biomechanics, biomedical sensors, biomedical signal analysis, biotechnology, clinical engineering, human performance engineering, imaging, medical informatics, medical instruments and devices, physiological modelling, simulation, and control, prostheses and artificial organs, regulations and organisations, rehabilitation engineering, telemedicine, tissue engineering, and virtual reality in medicine.
