Here are the top AI healthcare books to read in 2021

Artificial intelligence (AI) has revolutionized sectors all over the world, and it has the potential to improve healthcare as well. Consider how AI could enhance clinical outcomes and diagnoses by analyzing data from clinic visits, medications prescribed, laboratory tests performed, and procedures performed, along with data from outside the healthcare system, such as social networks, credit card transactions, census records, and web search activity logs that contain important health information. If you are looking for AI in healthcare books, this article is just for you. Check out our top AI in healthcare books down below.

Best AI in Healthcare Books

Healthcare And Artificial Intelligence

Published by: Cédric Villani, Bernard Nordlinger, and Daniela Rus

ISBN: 3030321606

Artificial Intelligence in Healthcare

Published by: Academic Press

ISBN: 0128184388

Artificial Intelligence in Healthcare

Published by: Parag Suresh Mahajan

ISBN: 9353115574

Artificial Intelligence in Healthcare

Published by: Elsevier S & T

ISBN: 0128184396

Healthcare and Artificial Intelligence

Published by: Springer Nature

ISBN: 3030321614

Artificial intelligence in healthcare Second Edition

Published by: Emereo

ISBN: 0655552103

Intelligence-Based Medicine: Artificial Intelligence and Human Cognition in Clinical Medicine and Healthcare

Published by: Academic Press

ISBN: 0128233370

Intelligence-Based Medicine

Published by: Elsevier S & T

ISBN: 0128233389.

Artificial Intelligence in Healthcare A Complete Guide – 2021 Edition

Published by: Emereo

ISBN: 186745629X

Predictive Medicine

Published by: Business Expert Press LLC

ISBN: 1951527054

Artificial Intelligence in Precision Health

Published by: Elsevier S & T

ISBN: 0128173386

Artificial Intelligence in Precision Health: From Concept to Applications

Published by: Academic Press

ISBN: 0128171332

Medical Applications of Artificial Intelligence

Published by CRC Press

ISBN: 143988434X

Artificial Intelligence: Reshaping Life and Business

Published by BPB Publications

ISBN: 9388511077

Artificial Intelligence and Machine Learning for Business: Approach for Beginners to AI and Machine Learning and Their Revolution of Modern Life, Health Care, Business and Marketing

Published by: Independently Published

ISBN: 1079768564

Biomedical Signal Processing and Artificial Intelligence in Healthcare

Published by Elsevier S & T

ISBN: 0128189479

Innovation in Medicine and Healthcare 2015

Published by: Springer Nature

ISBN: 3319230247

Real-time Face Detection, Recognition, And Tracking System in Labview

Published by Muralindran Mariappan, Manimehala Nadarajan, Rosalyn R. Porle

ISBN: 1522535039

Machine Learning and AI for Healthcare

Published by: Springer Nature

ISBN: 1484237994.

AI Impact in Healthcare

Traditional analytics and medical decision-making tools provide a lot of benefits that AI does not. As people engage with training data, machine learning techniques can become more exact and accurate, enabling people to obtain unparalleled insights into diagnosis, care procedures, treatment variability, and patient outcomes.

Brain-Computer Interfaces bring Mind and Machine Closer Together

By no means is using software to communicate a novel concept, but developing direct connections between technology and the human brain without the need for keys, mouse, or displays is a cutting-edge field of study with substantial implications for some patients.

Some clients' abilities to talk, move, and connect meaningfully with others and their settings can be taken away by neurological illnesses and injuries to the nervous system. Artificial intelligence-assisted brain-computer interfaces (BCIs) may be able to restore such essential experiences to individuals who worry they may be lost forever.

The Next Wave of Radiology Instruments is being Developed

MRI machines, CT scanners, and x-rays provide radiological pictures that provide a non-invasive understanding of the functioning of the human body. Many diagnostic procedures, however, still rely on actual tissue samples taken through biopsies, which come with hazards such as infection.

Experts expect that artificial intelligence will allow the next wave of radiological instruments to be precise and comprehensive enough to eliminate the requirement for tissue samples in some circumstances.

Increasing Healthcare Access in Underserved or Emerging Areas

In underdeveloped countries across the world, shortages of qualified healthcare personnel, such as ultrasound technologists and radiologists, can severely limit access to life-saving treatment.

The session pointed out that there are more radiologists working at the half-dozen institutions that line Boston's famed Longwood Avenue than there are in all of West Africa.

Artificial intelligence may be able to assist in minimizing the effects of the significant shortage of skilled clinical personnel by taking over certain diagnostic tasks that are normally performed by humans.

Lowering the Costs of Using Electronic Health Records

EHRs have aided the healthcare industry's transition to digitalization, however, the change has resulted in a slew of issues such as cognitive overload, unending documentation, and user fatigue.

Keeping the Threat of Antibiotic Resistance at Bay

Antibiotic resistance is becoming an increasing hazard to people all over the world, as abuse of these life-saving therapies encourages the emergence of superbugs that are resistant to antibiotics. Multidrug-resistant pathogens may cause havoc in hospitals, claiming hundreds of lives each year.

Incorporating Intelligence into Medical Technologies and Devices

Smart gadgets are sweeping the consumer market, with anything from real-time video from the interior of a refrigerator to automobiles that can identify when the driver is preoccupied.

Smart gadgets are essential in the medical field for monitoring patients in the ICU and everywhere else. Using AI to increase the capacity to detect deterioration, detect the onset of sepsis, or detect the onset of complications can improve productivity and lower expenditures associated with hospital-acquired conditions penalties.

Conclusion

People are already benefiting from the usage of AI and the IoMT in public health applications. People are urged to develop healthier behaviors by employing technological tools and applications that help them maintain a healthy lifestyle on a proactive basis. It allows customers to take charge of their own health and well-being. Furthermore, AI improves healthcare providers' capacity to better understand the day-to-day trends and requirements of the individuals they care for, allowing them to give greater feedback, advice, and support to help them stay healthy.