AI in healthcare.ppt
- 2. What is Artificial Intelligence? 2 • It is when computers and other machines mimic human cognition, and are capable of learning, thinking, and making decisions or taking actions. • AI in healthcare is an umbrella term to describe the application of machine learning (ML) algorithms and other cognitive technologies in medical settings.
- 3. What is Artificial Intelligence? 3 • AI has a long tradition in computer science centered on the general goal of creating "intelligent" machines, but the term intelligence is not clearly defined and even measuring "intelligence" is extremely difficult. • The AI field was initiated in 1956 by a group of computer scientists during a workshop at Dartmouth College. • The goals were extremely ambitious: "The study is to proceed on the basis of the conjecture that every aspect of learning or any other feature of intelligence can in principle be so precisely described that a machine can be made to simulate it. An attempt will be made to find how to make machines use language, form abstractions and concepts, solve kinds of problems now reserved for humans, and
- 4. ADVANTAGES OF AI IN HEALTHCARE 4 Ability to analyse data and improve diagnosis • AI-equipped technology can analyse data much faster than any human, including clinical studies, medical records and genetic information that can help medical professionals come to a diagnosis. Carry out administrative and routine tasks • AI can automate many routine tasks, such as maintaining records, data entry and scan analysis. With less time being spent on administrative tasks, medical professionals can place more focus on patient care. Health monitoring and digital consultations • From wearable health tech, such as the Apple Watch and FitBit, to digital consultations via your smartphone, AI can allow people to monitor their own health, while also providing healthcare professionals with essential data.
- 5. DISADVANTAGES OF AI IN HEALTHCARE 5 Training complications • AI technology needs to be extensively trained with curated data sets in order to perform as expected. • However, due to privacy concerns, it can be difficult to access some of the data necessary to provide AI learning with the breadth and depth of information it needs. •Change can be difficult • In any industry, change can prove challenging. Since the healthcare industry is crucial for patient care, the medical community need proof that AI will be effective, as well as a plan to show investors it is going to be worth the cost. • Everyone working alongside AI technology will need to have an understanding of this technology and how it can assist them with day-to-day tasks.
- 6. AI In Healthcare 6 Used at To diagnose a disease Treat patients Develop new drug molecules Provide personalised Medicine Monitor the patients
- 7. AI In Healthcare 7
- 9. AI In Healthcare 9 Used at Shim Woebot Wyse Toss Therachat • HealthifyMe - Harnesses AI to provide personalised diet and fitness information and coaching. • Tricog - Offer virtual cardiology services to distant clinics. • Dozee - Contactless health monitors that enable early detection of any health deterioration. • Niramai - Early-stage detection of breast cancer.
- 10. EARLY DETECTION OF DISEASES10 • Computer-based intelligence is as of now being utilized to distinguish maladies, for example, malignancy, all the more precisely and in their beginning times. • As per the American Cancer Society, a high extent of mammograms yield bogus outcomes, prompting 1 out of 2 sound ladies to be told they have malignant growth. • The utilization of AI is empowering survey and interpretation of mammograms multiple times quicker with 99% exactness, decreasing the requirement for pointless biopsies. • The multiplication of wearables like iWatch by Apple and other clinical gadgets joined with AI is likewise being applied to manage beginning period coronary illness, empowering specialists and different parental figures to all the more likely screen and identify possibly perilous scenes at prior, increasingly treatable stages.
- 11. EARLY DETECTION OF DISEASES11 • AI-based knowledge is now used to recognize illnesses, for instance, tumors, in their starting stage. • According to the American Cancer Society, a high degree of mammograms yield counterfeit results. 1 out of 2 sound women was prone to threatening development. • The use of AI is engaging study and understanding of mammograms on different occasions speedier with 99% precision, diminishing the necessity for silly biopsies. • The widespread use of wearables like iWatch by Apple and other clinical contraptions got together with AI. This helps in overseeing starting period coronary ailment. In general, the earlier the detection of a disease, the better it can be treated.
- 12. IMPROVED DECISION MAKING 12 • Improving consideration requires the arrangement of huge well being information with suitable and opportune choices. • Prescient examination can bolster clinical dynamics and activities just as organize regulatory undertakings. The sector of predictive analytics holds increasing promise for helping clinicians diagnose and treat patients. • Utilizing past data of patients who were previously suffering from similar ailments to distinguish patients in danger of building up a condition – or seeing it fall apart because of the way of life, ecological, genomic, or different variables – is another zone where AI is starting to grab hold in human services.
- 13. AID IN TREATMENT 13 • Past examining well being records to assist suppliers with recognizing constantly sick people who might be in danger of an unfavorable scene, Artificial Intelligence in healthcare can assist clinicians with adopting an increasingly thorough strategy for ailment the board, better facilitate care plans and help patients to all the more likely oversee and agree to their long haul treatment programs. • Robots have been utilized in medication for over 30 years. They extend from basic research facility robots to profoundly complex careful robots that can either help a human specialist or execute activities without anyone else. • Notwithstanding medical procedures, they’re utilized in emergency clinics and labs for redundant errands, in recovery, non-intrusive treatment and on the side of those with long haul conditions.
- 14. WHAT ARE THE CHALLENGES FOR AI IN HEALTHCARE? • There are 4 major barriers to leverage healthcare system through AI. • Insufficient high-quality data. • Low doctor trust of AI solutions. • Over-emphasis on flashy pilots at the expense of easily scalable solutions. • Inadequate technological infrastructure, especially in low- and middle-income countries. 14
- 15. WHAT SHOULD BE DONE TO OVERCOME THESE CHALLENGES? • Stakeholders – All stakeholders should come together to ensure AI in healthcare is ethical, responsible and equitable resulting in improved outcomes for all. • Stakeholders from across healthcare, government and beyond must ensure that algorithms are developed and work responsibly and transparently. • Data privacy – Governments must strengthen data privacy laws regulating the use of anonymised patient data to train algorithms. • Data ownership – They must also help codify data ownership and security policies to encourage interoperability of data across borders and corporate walls. • Governments must incentivise private investment in AI and allocate funds to scale solutions that are already working elsewhere. • Partnerships – The partnerships between countries must also be cultivated to ensure AI innovations accessible across borders, especially reaches low and middle income countries. 15
- 18. AGENDA Introduction Primary goals Areas of growth Timeline Summary
- 19. INTRODUCTION Presentation title 19 At Contoso, we empower organizations to foster collaborative thinking to further drive workplace innovation. By closing the loop and leveraging agile frameworks, we help business grow organically and foster a consumer-first mindset.
- 20. PRIMARY GOALS Annual revenue growth
- 21. AREAS OF GROWTH Presentation title 21 B2B Supply chain ROI E-commerce Q1 4.5 2.3 1.7 5.0 Q2 3.2 5.1 4.4 3.0 Q3 2.1 1.7 2.5 2.8 Q4 4.5 2.2 1.7 7.0
- 22. BUSINESS OPPORTUNITIES ARE LIKE BUSES. THERE'S ALWAYS ANOTHER ONE COMING. 22 “ Richard Branson ”
- 23. MEET OUR TEAM Presentation title 23 TAKUMA HAYASHI President MIRJAM NILSSON Chief Executive Officer FLORA BERGGREN Chief Operations Officer RAJESH SANTOSHI VP Marketing
- 24. MEET OUR EXTENDED TEAM Presentation title 24 TAKUMA HAYASHI President GRAHAM BARNES VP Product MIRJAM NILSSON Chief Executive Officer ROWAN MURPHY SEO Strategist FLORA BERGGREN Chief Operations Officer ELIZABETH MOORE Product Designer RAJESH SANTOSHI VP Marketing ROBIN KLINE Content Developer
- 25. PLAN FOR PRODUCT LAUNCH Presentation title 25 PLANNING Synergize scalable e-commerce MARKETING Disseminate standardized metrics DESIGN Coordinate e- business applications STRATEGY Foster holistically superior methodologies LAUNCH Deploy strategic networks with compelling e- business needs
- 26. AREAS OF FOCUS 26 B2B MARKET SCENARIOS • Develop winning strategies to keep ahead of the competition • Capitalize on low-hanging fruit to identify a ballpark value • Visualize customer directed convergence CLOUD-BASED OPPORTUNITIES • Iterative approaches to corporate strategy • Establish a management framework from the inside
- 27. HOW WE GET THERE Presentation title 27 ROI • Envision multimedia- based expertise and cross-media growth strategies • Visualize quality intellectual capital • Engage worldwide methodologies with web- enabled technologies NICHE MARKETS • Pursue scalable customer service through sustainable strategies • Engage top-line web services with cutting-edge deliverables SUPPLY CHAINS • Cultivate one-to-one customer service with robust ideas • Maximize timely deliverables for real-time schemas
- 28. SUMMARY Presentation title 28 At Contoso, we believe in giving 110%. By using our next-generation data architecture, we help organizations virtually manage agile workflows. We thrive because of our market knowledge and great team behind our product. As our CEO says, "Efficiencies will come from proactively transforming how we do business."