Affiliation:
1. Panjab University, Chandigarh, India
2. Chandigarh University, Chandigarh, Punjab, India
Abstract
Numerous technological advancements like 3-D Printing, Virtual Reality
(VR), Augmented Reality (AR), Artificial Intelligence (AI), Internet of Things (IoT),
Drones, Robots, and Blockchain are now being inscribed for their ability to change the
health care industry and make it a more automated and effective field. Various tools
related to AI, like Google, DeepMind, Atomwise, Chatbot, Enlitic, Freenome, and
Buoy Health, are helpful in makingthe health industry more efficient. There is another
technology which is nanomicelle that can be used for effective drug delivery to treat
various cancers, including breast, colon, and lung cancer. Moreover, self-assembling
peptide nanoparticles that were prepared from SARSCov-1 spike (S) protein,
successfully induced neutralizing antibodies against the coronavirus, subsequently
preventing infection of Vero cells. Furthermore, the application of 3D printing in
medicine can provide many benefits, including the customization and personalization
of medical products, drugs, and equipment; cost-effectiveness; increased productivity;
democratization of design and manufacturing; and enhanced collaboration. IoT enables
real-time alerting, tracking, and monitoring, which permits hands-on treatment, better
accuracy, apt intervention by doctors, and improves patient care delivery results. The
other most promising application isblockchain in the healthcare sector for identity
management, dynamic patient consent, and management of supply chains for medical
supplies and pharmaceuticals. In addition, there are several case studies that describe
the benefits of emerging tools, like recently the use of Emerging Technologies for the
study, diagnosis, and treatment of patients with COVID-19 by using Deep
Convolutional neural networks (CNN), which is a widely used deep learning
architecture, enabled distinguishing between COVID-19 and other causes of
pneumonia through chest X-ray image analysis.
Publisher
BENTHAM SCIENCE PUBLISHERS
Reference55 articles.
1. Davenport T.; Kalakota R.; The potential for artificial intelligence in healthcare. Future Healthc J 2019,6(2),94-98
2. Future of artificial intelligence in health care | deloitte . Available from: (Accessed Jul. 12, 2022). https://www2. deloitte.com/us/en/pages/life-sciences-and-health-care/articles/future-of-artificial-intelligence-in- health-care.html
3. Ćirković A.; Evaluation of four artificial intelligence-assisted self-diagnosis apps on three diagnoses: Two-year follow-up study. J Med Internet Res 2020,22(12),e18097
4. ID4 platform (Intelligent Digital Drug Discovery and Development platform XtalPi Inc. - [LSUS] Life-Sciences-USA.com - The Transatlantic Life Sciences Web Portal. Available from: (Accessed Jul. 13, 2022). https:// www.life-sciences-usa.com/product/id4-platform-intelligent-digital-xtalpi-inc-mit-massachusetts- 2001-32571.html