Artificial intelligence and Medicine.pptx

Artifice intelligence in Medicine by Dr.T.V.Rao MD

1. Artificial Intelligence in Medicine basics for Medical and paramedical students Dr.T.V.Rao MD Dr.T.V.Rao MD @ Artifical Intilligence in Medicine 1

2. Changing Medical profession with Artifical Intelligence what it means to us Dr.T.V.Rao MD Artificial Intelligence fast penetrating to every system and modality of human living However the implications of Artificial Intelligence is truly different in human from other professions we should be more aware of the ongoing matters and chose what is good in Human and health care ? Dr.T.V.Rao MD Former professor of Microbiology Adviser and Member Associate Elsevier research Netherlands Dr.T.V.Rao MD @ Artifical Intilligence in Medicine 2

3. Information technology most advancing science Concurrent advances in information technology infrastructure and mobile computing power in many low and middle-income countries (LMICs) have raised hopes that artificial intelligence (AI) might help to address challenges unique to the field of global health and accelerate achievement of the health-related sustainable development goals Dr.T.V.Rao MD @ Artifical Intilligence in Medicine 3

4. Beginning of Artificial intelligence Artificial intelligence (AI) is the term used to describe the use of computers and technology to simulate intelligent behavior and critical thinking comparable to a human being. John McCarthy first described the term AI in 1956 as the science and engineering of making intelligent machines. Dr.T.V.Rao MD @ Artifical Intilligence in Medicine 4

5. Artificial Intelligence can change the future of Medicine in Practice AI promises to change the practice of medicine in hitherto unknown ways, but many of its practical applications are still in their infancy and need to be explored and developed better. Medical professionals also need to understand and acclimatize themselves with these advances for better healthcare delivery to the masses. Dr.T.V.Rao MD @ Artifical Intilligence in Medicine 5

6. Radiology in Most upfront in Artificial Intelligence Radiology is the branch that has been the most upfront and welcoming to the use of new technology. Computers being initially used in clinical imaging for administrative work like image acquisition and storage to now becoming an indispensable component of the work environment with the origin of picture archiving and communication system. Dr.T.V.Rao MD @ Artifical Intilligence in Medicine 6

7. Why the developing and resource free countries are in need of Artificial Intelligence These challenges, including acute health workforce shortages and weak public health surveillance systems, undermine global progress towards achieving the health-related sustainable development goals (SDGs). Although not unique to such countries, these challenges are particularly relevant given their contribution to morbidity and mortality. Dr.T.V.Rao MD @ Artifical Intilligence in Medicine 7

8. Accelerating access to AI Numerous data are available to show how AI is being tested to address health challenges relevant to the achievement of SDGs. Such interventions include disease specific applications and those aimed at strengthening health systems. Dr.T.V.Rao MD @ Artifical Intilligence in Medicine 8

9. Plans to implement AI in Health care systems Many AI health interventions have shown promising preliminary results, and could soon be used to augment existing strategies for delivering health services in LMICs. Dr.T.V.Rao MD @ Artifical Intilligence in Medicine 9

10. Plans to implement AI in Health care systems Helps in disease diagnosis, where AI powered interventions could be used in countries with insufficient numbers of health providers, and in risk assessment where tools based largely on machine learning could help to supplement clinical knowledge . Dr.T.V.Rao MD @ Artifical Intilligence in Medicine 10

11. AI is Transforming Procurement in Healthcare The field of artificial intelligence (AI) has made great strides in recent years, with the technology making its way into industries as diverse as manufacturing and hospitality. The next frontier is procurement and supply chain management in the Healthcare Industry, with AI set to transform the way companies source their materials and streamline the operations of their equipment. Some experts predict that within five years AI will be responsible for over $300 billion in annual savings, for the healthcare industry alone. Dr.T.V.Rao MD @ Artifical Intilligence in Medicine 11

12. Clinical use of AI is increasing Healthcare providers are responsible for ensuring that AI applications provide useful technology in support of patient care. For this reason, gaining adequate knowledge and skills regarding AI applications in medicine is crucial for medical students, who may even have to use applications that did not exist during their education . Dr.T.V.Rao MD @ Artifical Intilligence in Medicine 12

13. Benefits of AI in medicine Informed patient care integrating medical AI into clinician workflows can give providers valuable context while they're making care decisions. A trained machine learning algorithm can help cut down on research time by giving clinicians valuable search results with evidence-based insights about treatments and procedures while the patient is still in the room with them. Dr.T.V.Rao MD @ Artifical Intilligence in Medicine 13

14. Helps Error reduction There is some evidence that AI can help improve patient safety. A recent systemic review of 53 peer-reviewed studies examining the impact of AI on patient safety found that AI-powered decision support tools can help improve error detection and drug management . Dr.T.V.Rao MD @ Artifical Intilligence in Medicine 14

15. Reducing the costs of care There are a lot of potential ways AI could reduce costs across the healthcare industry. Some of the most promising opportunities include reducing medication errors, customized virtual health assistance, fraud prevention, and supporting more efficient administrative and clinical workflows. Dr.T.V.Rao MD @ Artifical Intilligence in Medicine 15

16. Increasing doctor-patient engagement Many patients think of questions outside of typical business hours. AI can help provide around-the-clock support through chatbots that can answer basic questions and give patients resources when their provider’s office isn’t open. AI could also potentially be used to triage questions and flag information for further review, which could help alert providers to health changes that need additional attention. Dr.T.V.Rao MD @ Artifical Intilligence in Medicine 16

17. Providing contextual relevance One major advantage of deep learning is that AI algorithms can use context to distinguish between different types of information. For example, if a clinical note includes a list of a patient's current medications along with a new medication their provider recommends, a well-trained AI algorithm can use natural language processing to identify which medications belong in the patient's medical history. Dr.T.V.Rao MD @ Artifical Intilligence in Medicine 17

18. Improves the matters in Medical Edcaution Understanding how today’s medical student perceives AI in medicine, what they know and don’t know, and their comprehension of AI’s ethical dimensions is a crucial first step to developing effective AI curricula. Kern et al. define one of the steps of curriculum development as “Needs Assessment of Targeted Learners”, a process by which curriculum developers identify the differences between the ideal and the actual characteristics of the targeted learner group. Dr.T.V.Rao MD @ Artifical Intilligence in Medicine 18

19. Demand for Artifical intelligence is growing there might be a high demand to have AI topics integrated into the university curricula which should be further explored . To the best of our knowledge, Wood et al.’s study with 117 medical students on seven topics is the only one in the literature that investigated the importance of AI topics in the eyes of the students. Hence, in this study, we aimed to examine medical students’ perceptions regarding the possible influence of AI on medicine and also their thoughts on the AI topics to be integrated into the medical curriculum. Dr.T.V.Rao MD @ Artifical Intilligence in Medicine 19

20. AI applications in medicine There are numerous ways AI can positively impact the practice of medicine, whether it's through speeding up the pace of research or helping clinicians make better decisions. Here are some examples of how AI could be used: Dr.T.V.Rao MD @ Artifical Intilligence in Medicine 20

21. AI in disease detection and diagnosis Unlike humans, AI never needs to sleep. Machine learning models could be used to observe the vital signs of patients receiving critical care and alert clinicians if certain risk factors increase. While medical devices like heart monitors can track vital signs, AI can collect the data from those devices and look for more complex conditions, such as sepsis. One IBM client has developed a predictive AI model for premature babies that is 75% accurate in detecting severe sepsis. Dr.T.V.Rao MD @ Artifical Intilligence in Medicine 21

22. Personalized disease treatment Precision medicine could become easier to support with virtual AI assistance. Because AI models can learn and retain preferences, AI has the potential to provide customized real-time recommendations to patients around the clock. Rather than having to repeat information with a new person each time, a healthcare system could offer patients around-the-clock access to an Dr.T.V.Rao MD @ Artifical Intilligence in Medicine 22

23. AI can act as your Virtual Assistant AI-powered virtual assistant that could answer questions based on the patient's medical history, preferences and personal needs. Dr.T.V.Rao MD @ Artifical Intilligence in Medicine 23

24. Virtual Assistants: Artificial Intelligence, Real Improvements In L&D The most common examples of AI we currently have are virtual assistants. You know the two big ones by name: Google Assistant and Alexa (Amazon). These are language recognition systems that learn from your choices and preferences. Dr.T.V.Rao MD @ Artifical Intilligence in Medicine 24

25. Google Assistant “ Google Assistant can help you organize your meetings and Alexa can make your shopping easier. Yet, if you apply these same pieces of technology to other purposes, you can achieve different results” Dr.T.V.Rao MD @ Artifical Intilligence in Medicine 25

26. AI in medical imaging AI is already playing a prominent role in medical imaging. Research has indicated that AI powered by artificial neural networks can be just as effective as human radiologists at detecting signs of breast cancer as well as other conditions. In addition to helping clinicians spot early signs of disease, AI can also help make the staggering number of medical images that clinicians have to keep track of more manageable by detecting vital pieces of a patient's history and presenting the relevant images to them. Dr.T.V.Rao MD @ Artifical Intilligence in Medicine 26

27. Clinical trial efficiency A lot of time is spent during clinical trials assigning medical codes to patient outcomes and updating the relevant datasets. AI can help speed this process up by providing a quicker and more intelligent search for medical codes. Two IBM Watson Health clients recently found that with AI, they could reduce their number of medical code searches by more than 70%. Dr.T.V.Rao MD @ Artifical Intilligence in Medicine 27

28. Accelerated drug development Drug discovery is often one of the longest and most costly parts of drug development. AI could help reduce the costs of developing new medicines in primarily two ways: creating better drug designs and finding promising new drug combinations. With AI, many of the big data challenges facing the life sciences industry could be overcome. Dr.T.V.Rao MD @ Artifical Intilligence in Medicine 28

29. Pros and Cons of Artificial Intelligence in Healthcare Dr.T.V.Rao MD @ Artifical Intilligence in Medicine 29

30. Pros of Artificial Intelligence in Healthcare . AI makes healthcare more accessible. Unfortunately, many poor countries continue to fall behind the rest of the world in many areas, and healthcare remains the most unpleasant for them. Dr.T.V.Rao MD @ Artifical Intilligence in Medicine 30

31. Pros of Artificial Intelligence in Healthcare People living in the most remote areas are at risk of dying since it is nearly hard to obtain appropriate medical assistance in a timely manner. Dr.T.V.Rao MD @ Artifical Intilligence in Medicine 31

32. What the WHO says about Artificial Intelligence According to the World Health Organization, unequal access to health services results in an 18.1-year difference in life expectancy between the richest and poorest countries. Artificial intelligence (AI) can be used to develop a more efficient healthcare ecosystem. Patients will be able to better understand their symptoms and receive the treatment they require with the support of such digital infrastructure. Dr.T.V.Rao MD @ Artifical Intilligence in Medicine 32

33. New applications are already functional Many applications have lately been developed to improve the collaboration between national and international healthcare institutions in order to give patients with immediate support. For example, the Ada App, which is based on intelligent technology and is available in 140 countries, improves access to medical guidance for the poor. Dr.T.V.Rao MD @ Artifical Intilligence in Medicine 33

34. PROVIDES REAL-TIME DATA Acquiring reliable information in a timely manner is an important part of diagnosing and treating medical problems. Doctors and other medical professionals can use AI to use real-time, precise data to speed up and improve key therapeutic decisions. Improved preventative measures, cost savings, and patient wait times can all be achieved by producing more immediate and realistic outcomes . Dr.T.V.Rao MD @ Artifical Intilligence in Medicine 34

35. improved physician-patient connections improved physician-patient connections can be aided by real-time analytics. Patients can be more engaged in their treatments if crucial health data is made available via mobile devices. Doctors and nurses can be alerted to critical changes in patient status and crises through mobile alerts. Dr.T.V.Rao MD @ Artifical Intilligence in Medicine 35

36. AI-powered techniques aid in the detection of early disease risks . Because AI can collect and store people’s data in one place, it can use it to get insight into their past and current health issues. The physicians can make a more accurate diagnosis with such a comparison of disease details. Millions of symptoms, diagnoses, and specific cases have been accumulated in the health app database, allowing for the prediction of future health problems. Dr.T.V.Rao MD @ Artifical Intilligence in Medicine 36

37. RISKS OF ARTIFICIAL INTELLIGENCE Automation-spurred job loss Privacy violations Deepfakes Algorithmic bias caused by bad data Socioeconomic inequality Market volatility Weapons automatization Dr.T.V.Rao MD @ Artifical Intilligence in Medicine 37

38. IS ARTIFICIAL INTELLIGENCE A THREAT? The tech community has long debated the threats posed by artificial intelligence. Automation of jobs, the spread of fake news and a dangerous arms race of AI-powered weaponry have been mentioned as some of the biggest dangers posed by AI. Dr.T.V.Rao MD @ Artifical Intilligence in Medicine 38

39. Google helps in use of Artificial intelligence well-known software program Verily, a Google product, is adept at predicting both communicable and hereditary genetic disorders . Dr.T.V.Rao MD @ Artifical Intilligence in Medicine 39

40. A I Helps in Fraud Detection One way to improve fraud detection is through an artificial intelligence program called neural network analysis. Through machine learning, neural networks are able to quickly analyze large amounts of data and recognize patterns or flags indicative of criminal behavior. For instance, a company that used a neural network to scan millions of invoices for signs of fraud, identified over 1,000 instances where invoice information did not match what was on file at corporate headquarters. This led to a nearly 50% reduction in overall chargeback rates, within just six months . Dr.T.V.Rao MD @ Artifical Intilligence in Medicine 40

41. Artificial Intelligence helping in patient care .Many apps allow health professionals to foresee potential hazards and take proper precautions now to avoid them in the future. Furthermore, predictive analytics helps healthcare facilities enhance their operational management. Dr.T.V.Rao MD @ Artifical Intilligence in Medicine 41

42. Future of Artificial Intelligence in Medicine Artificial intelligence has unimaginable potential. Within the next couple of years, it will revolutionize every area of our life, including medicine. Dr.T.V.Rao MD @ Artifical Intilligence in Medicine 42

43. Future of Artificial Intelligence in Medicine Artificial intelligence moved from being a futuristic promise into a reference point for innovation. The technology also started to transform medicine with great vigor. In the last couple of years, the number of A.I.-related studies, research projects, university courses, and companies has grown exponentially, not to speak about the rapid improvement in the precision of the technology. Dr.T.V.Rao MD @ Artifical Intilligence in Medicine 43

44. What the The Medical Futurist says At The Medical Futurist, we are sure that Artificial Intelligence is not going to replace medical professionals; it’s going to be the stethoscope of the 21st century and successful collaboration between humans and technology could bring us the positive change in medicine that we all so strongly wish. Dr.T.V.Rao MD @ Artifical Intilligence in Medicine 44

45. Connecting everything and Everyone Digital health will give us more health data than ever before, and A.I will help us analyze it to find new ways to treat diseases, to cut down on administrative tasks, to streamline medical practices, to optimize both physicians’ and patients’ schedules. Dr.T.V.Rao MD @ Artifical Intilligence in Medicine 45

46. What it the Truth TIME WILL PROVE MANY MATTERS Dr.T.V.Rao MD @ Artifical Intilligence in Medicine 46

47. References Overview of artificial intelligence in medicine Amisha,1 Paras Malik,1 Monika Pathania,1 and Vyas Kumar Rathaur2 Author information Article notes Copyright and License information What is artificial intelligence in medicine? IBM Pros and Cons of Artificial Intelligence in Healthcare Tech Emergent Vamstar Optimise Tenders and Source Efficiently with Artificial Intelligence Google resources on world wide web for benefit of Medical and Paramedical professionals Medical Futurist Dr.T.V.Rao MD @ Artifical Intilligence in Medicine 47

48. Program file Created by Dr.T.V.Rao MD for benefit of Medical paramedical students in developing countries for benefit of implementing the Artificial Intelligence in Medical Education Dr.T.V.Rao MD [email protected] Dr.T.V.Rao MD @ Artifical Intilligence in Medicine 48