Artificial Intelligence in Modern Medicine – The Evolving Necessity of the Present and Role in Transforming the Future of Medical Care

The dexterity of computer systems to resemble and mimic human intelligence is artificial intelligence. Artificial intelligence has reformed the diagnostic and therapeutic precision and competence in various fields of medicine. Artificial intelligence appears to play a bright role in medical diagnosis. Computer systems using artificial intelligence help in the assessment of medical images and enormous data. This research aims to identify how artificial intelligence-based technology is reforming the art of medicine. Artificial intelligence empowers providers in improving efficiency and overall healthcare. Newer machine learning techniques lead the automatic diagnostic systems. Areas of medicine such as medical imaging, automated clinical decision-making support have made significant advances with respect to artificial intelligence technology. With improved diagnosis and prognosis, artificial intelligence possesses the capability to revolutionize various fields of medicine. Artificial intelligence has its own limitations and cannot replace a bedside clinician. In the evolving modern medical digital world, physicians need to support artificial intelligence rather than fear it replacing trained physicians for improved healthcare.

[1]  Neal S. Coulter.  ACM'S computing classification system reflects changing times , 1997, CACM.

[2]  Peter Szolovits,et al.  The coming of age of artificial intelligence in medicine , 2009, Artif. Intell. Medicine.

[3]  E. Siegel,et al.  Artificial Intelligence in Medicine and Cardiac Imaging: Harnessing Big Data and Advanced Computing to Provide Personalized Medical Diagnosis and Treatment , 2013, Current Cardiology Reports.

[4]  Zoubin Ghahramani,et al.  Probabilistic machine learning and artificial intelligence , 2015, Nature.

[5]  Nicholas Buist,et al.  Artificial intelligence in medicine: humans need not apply? , 2016, The New Zealand medical journal.

[6]  Alison M Darcy,et al.  Machine Learning and the Profession of Medicine. , 2016, JAMA.

[7]  M. Kubát.  An Introduction to Machine Learning , 2017, Springer International Publishing.

[8]  D. Bonderman,et al.  Artificial intelligence in cardiology , 2017, Wiener klinische Wochenschrift.

[9]  M. Mazzanti,et al.  Imaging, Health Record, and Artificial Intelligence: Hype or Hope? , 2018, Current Cardiology Reports.

[10]  E. Brown,et al.  Artificial Intelligence in Medical Practice: The Question to the Answer? , 2017, The American journal of medicine.

[11]  T. Lancet.  Artificial intelligence in health care: within touching distance , 2018, The Lancet.

[12]  J. Kvedar,et al.  Artificial intelligence powers digital medicine , 2018, npj Digital Medicine.

[13]  N. Shah,et al.  What This Computer Needs Is a Physician: Humanism and Artificial Intelligence. , 2018, Journal of the American Medical Association (JAMA).

[14]  Safwan Halabi,et al.  Data Science: Big Data, Machine Learning, and Artificial Intelligence. , 2018, Journal of the American College of Radiology : JACR.

[15]  Jeroen van den Hoven,et al.  Digital Twins in Health Care: Ethical Implications of an Emerging Engineering Paradigm , 2018, Front. Genet..

[16]  Abhimanyu S. Ahuja,et al.  The impact of artificial intelligence in medicine on the future role of the physician , 2019, PeerJ.

[17]  Mika Gustafsson,et al.  Digital twins to personalize medicine , 2019, Genome Medicine.

[18]  C. Mesquita,et al.  Artificial Intelligence in Cardiology: Concepts, Tools and Challenges - "The Horse is the One Who Runs, You Must Be the Jockey". , 2019, Arquivos brasileiros de cardiologia.

[19]  François-Henri Boissel,et al.  "Artificial intelligence": Which services, which applications, which results and which development today in clinical research? Which impact on the quality of care? Which recommendations? , 2019, Therapie.

[20]  T. Davenport,et al.  The potential for artificial intelligence in healthcare , 2019, Future Healthcare Journal.