This is the premier radiation oncology scientific event in the world with more than 11,000 attendees each year. The 2022 ASTRO Annual Meeting - AI and EI: Caring for Patients in a Wireless World will include a full program with engaging educational and scientific sessions, live SA-CME courses and networking events. We’ll highlight the potential of AI, Big Data and scientific advances while showcasing the central role of human interaction in caring for and curing our patients. We’re excited to continue popular offerings from recent years – such as the Cancer Breakthroughs session and Storytelling – along with deeper dives into important topics with our Master Class series.

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This year’s Intelligent Health Summit will take place at the historic Beurs van Berlage in central Amsterdam, will be limited to 1000 people, and will present a mind-blowing lineup of the very best world class speakers in one amazing show stopping plenary stage!

To celebrate 5 years of our world-leading sister summit, WSAI, we will be co-locating Intelligent Health alongside World Summit AI and TMinus30 – our new InspiredMinds summit on climate and the future of food and agriculture to create a ‘Super Summit’.

C-level executives, clinicians, hospital heads and scientists from pharma, biotech, medtech, health provisions, tech, startups and investment companies from every corner of the globe will join at the exclusive physical summit and online via our global platform. This year, we’ve tossed away the rule book and re-designed the summit to focus on what matters the most.

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Healthcare experts anticipate a 40 percent annual growth in the use of augmented intelligence (AI) in healthcare over the next two years. With limited resources and increasing amounts of data, leaders are turning to AI to make sense of their data and derive critical insight for better decision making. Hear from, Phil Rowell, M.J., Vice President of Clinical and Business Intelligence at Carle Health, to see how Carle Health became an early adopter of AI to tackle COVID-19, improve sepsis management, and accurately forecast patient outcomes.

What You’ll Learn

• How AI, coupled with a human decision maker, can help healthcare organizations derive essential insight from millions of datasets to solve business-critical issues around revenue, cost, and quality.
• How Carle Health laid a strong data foundation to support effective AI and advanced analytics for near- and long-term success.
• The roadmap to three AI use cases at Carle Health, including common pitfalls to avoid and best practices other organizations can follow on their AI journey.

Read on web.healthcatalyst.com

Artificial Intelligence conferences, Meetings and Events 2022 will bring Material Scientists from Canada, Asia, America, Europe, Australia and Middle East to discuss the theme “Shaping the future with latest advancements in Automation & AI technology”

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International Conference on Recent Developments in Wearable Intelligence Technologies aims to bring together leading academic scientists, researchers and research scholars to exchange and share their experiences and research results on all aspects of Recent Developments in Wearable Intelligence Technologies. It also provides a premier interdisciplinary platform for researchers, practitioners and educators to present and discuss the most recent innovations, trends, and concerns as well as practical challenges encountered and solutions adopted in the fields of Recent Developments in Wearable Intelligence Technologies.

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Topics for discussion:

- Accelerating medicine development by building data science communities

- Growing data literacy across the organization

- Hospital data warehouses: opportunities and challenges for real-world evidence generation

- AI Innovation in pharma and healthcare technologies

- Transforming traditional healthcare and pharma with innovative AI – the impact on the workforce, organisation, partnerships and solutions

- AI in Diagnostics – experience, opportunities and challenges in the development of AI cancer detection, diagnosis and treatment

- Data Integrity in Pharma

- Leveraging Blockchain in pharma and healthcare

- Innovative data science solutions to manage huge datasets

- Deep Learning Generative Models in Pharma Manufacturing

- Semantic AI in Biotechnology

- Implementing the next generation of data-driven applications in healthcare

- Continuous monitoring of patients through wearables devices and telemedicine centers

- Predictive models generated by AI in pharma and healthcare

- Data Privacy in digital healthcare

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As part of our Algorithmic Bias Initiative, CAAI is excited to devote our annual conference to further efforts toward combatting algorithmic bias across domains. This year, we are focusing on the healthcare industry, and along with the Healthcare Initiative at Chicago Booth, will bring together healthcare professionals in industry and policy to advance the conversation around mitigating algorithmic bias to improve health outcomes. 

Join fellow practitioners from industry-leading healthcare organizations to share organizational and technical strategies to combat bias. Hear from policymakers and regulators interested in developing a shared understanding of how to best create a policy framework for responsible AI in healthcare.

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Intelligent Health, in partnership with our Innovation Partners NHSX, NIHR, The Health Innovation Network, AHSN Network and DigitalHealth. London will be bringing together our collective health communities for a breath-taking two days of London action in April 2022. Covid-19 may have stopped us from meeting in-person in 2021, but we have re-designed the 2022 summit, going bigger to include two days of a show stopping plenary stage, more speakers, more hands-on challenge sessions, more interactive workshops, more candid table-talks, more networking and more delegates. 

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Join us on January 14, 2022 from 1:00 pm to 4:30 pm ET, as we spotlight how federal agencies and industry partners are championing the design, development, and deployment of responsible, trustworthy AI in health IT.  Watch updates from federal agencies working to support AI innovation, while attempting to mitigate the risks of AI in health care, including its potential for unethical use and exacerbating systemic biases. Additionally, there will be presentations and demos from industry partners who are on the cutting edge of responsibly deploying AI in their organizations. A panel discussion will also be held at the end of the day.

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Advanced Machine Learning and Artificial Intelligence for Innovative Drug Discovery & Development Forum will bring together global pharmaceutical industry leaders to exchange experience and share the latest discoveries using artificial intelligence (AI) and machine learning (ML) to enhance service delivery levels in health-related industries and pharmaceutical industries. During this two-day session, senior executives, experts, and business professionals will join in-depth panel discussions, view practical case studies, attend interactive sessions, and participate in development workshops.

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The organizing committees for the 7th International Conference on Robotics and Artificial Intelligence (ICRAI 2021) will commit for facilitating the interactions among members in the field of robotics and artificial intelligence. Through this conference, the committees intend to enhance the sharing of individual experience and expertise in robotic developments involving a range of AI concepts with particular emphasis on technical challenges associated with varied applications such as humanoid, mobile and other classes of robots.

Our events bring together the latest technological advancements as well as practical examples to apply AI to solve challenges in business and society. Our unique mix of academia and industry enables you to meet with AI pioneers at the forefront of research, as well as exploring real-world case studies to discover the business value of AI.

Nearly half a decade into rapidly proliferating AI for medical imaging, the adoption has been paradoxically slow. Why the hesitancy, and how to accelerate the pace of progress, are timely topics today across the healthcare ecosystem. Clinicians want to know which AI applications will provide measurable value – cost or time savings or improved clinical outcomes. IT leaders and clinicians alike want to deploy AI with more certainty that it will improve physicians’ effectiveness, without draining IT resources. Correspondingly, AI developers and vendors want to understand how to best position themselves to achieve returns for their continued innovation. There is a collective interest in pursuing quality patient care, new approaches are emerging to support an ecosystem model, such as orchestration, and start addressing constituents’ concerns.

 What You'll Learn: Join This Webinar To:

• Consider AI adoption from an ecosystem perspective.
• Learn about trends and opportunities emerging in imaging AI today.
• Hear about ecosystem thinking and how it may offer a path for addressing persistent industry challenges.

Join Dr. Michael D Abramoff as he sits on a panel called "Helpful or Hypeful," which will discuss what the measures are for quality and safety that are required for clinical development.

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AI World Government provides a comprehensive two-day forum to educate federal agency leaders on proven strategies and tactics to deploy AI and cognitive technologies. 

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You'll learn from three practitioners about the current opportunities and future challenges of AI in UK and global healthcare.

Artificial Intelligence will radically transform every domain of healthcare. While in its infancy our technical capabilities are rapidly expanding. One of the barriers to integration is a shared understanding of the opportunities and challenges.

Over three events with the Clinical Innovators Network, you are invited to engage in talks with world leading experts at the forefront of AI innovation, where we explore what artificial intelligence is, what makes it such a disruptive, career changing and lifesaving technology.

Intelligent Health is the only large-scale, CPD accredited, global summit series focused purely on AI in healthcare. This year’s Intelligent Health Summit will take place at the historic Beurs van Berlage in central Amsterdam, will be limited to 1000 people, and will present a mind-blowing lineup of the very best world-class speakers in one amazing show-stopping plenary stage.

Read on intelligenthealth.ai

International Conference on Artificial Intelligence for Health and Healthcare Applications aims to bring together leading academic scientists, researchers, and research scholars to exchange and share their experiences and research results on all aspects of Artificial Intelligence for Health and Healthcare Applications. It also provides a premier interdisciplinary platform for researchers, practitioners and educators to present and discuss the most recent innovations, trends, and concerns as well as practical challenges encountered and solutions adopted in the fields of Artificial Intelligence for Health and Healthcare Applications.

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Infrastructures in healthcare play a key role in the ongoing transformative processes of digitalization. Emerging technologies such as artificial intelligence (AI) and the Internet of Things (IoT) accelerate transformation, while the growing availability of patient-oriented health applications contributes to the more active involvement of patients in their own care and well-being. The generation of personal health data is a key outcome and at the same time, a drive and a crucial building block of healthcare digitalization. More personal health data are collected in digital form than ever before. 

Read on infrahealth.eusset.eu

Common Sense AI Healthcare Virtual Conference is 2 roundtable discussions focused on practical solutions to challenges digital transformation leaders at health plans and providers face daily. 30 executives in digital transformation roles will brainstorm how they are leveraging data to predict, protect and improve outcomes in their organizations.

The Common Sense AI Healthcare Virtual Conference 2021 is a small group of peers discussing how hospitals and health plans are leveraging data & predictive analytics in ways that have a real impact on outcomes. Conversations are lively, thought-provoking, and a great way to get to know other smart people. You’ll also get to know healthcare-specialist AI/ML solutions vendors in a no-pitch, friendly environment.

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Learn how artificial intelligence and machine learning is being applied to primary diagnosis and clinical research. Discover how the image-based information environment is transforming the laboratory. Join an extended track featuring pharma and industry case studies. An extended panel discussion examines the practicalities, challenges and benefits of integrating digital pathology across the workflow. The popular roundtables will provide an intimate setting for you and KOLs to discuss current themes such quality control of image date.

Intelligent Systems Conference (IntelliSys) 2021 will focus on areas of intelligent systems and artificial intelligence (AI) and how it applies to the real world. IntelliSys is one of the best-respected Artificial Intelligence (AI) Conference.

International Conference on Biomedical Intelligence and Healthcare Information Systems aims to bring together leading academic scientists, researchers, and research scholars to exchange and share their experiences and research results on all aspects of Biomedical Intelligence and Healthcare Information Systems. It also provides a premier interdisciplinary platform for researchers, practitioners, and educators to present and discuss the most recent innovations, trends, and concerns as well as practical challenges encountered and solutions adopted in the fields of Biomedical Intelligence and Healthcare Information Systems.

The HIMSS21 Machine Learning & AI for Healthcare Forum will explore building data and analytics competency and move into real-world applications of machine learning and AI with a focus on best practices for implementation and integration into clinical workflows.

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The analytics pathway is often described as moving upward in complexity from descriptive to diagnostic to predictive to prescriptive, with each step adding more complexity and business value. For health systems, it starts with building a team with the right mix of expertise, including data architects, operational champions, and subject matter experts. Panelists will discuss lessons learned by creating the infrastructure to develop and deploy predictive analytics solutions in both clinical and business settings.

This conference bids an unparalleled opportunity to network with colleagues and learn from the distinguished leaders in Information Technology. It is an international platform that brings together the collection of investigators who are at the forefront in the field of Information Technology. The scientific program will include oral presentations of sub-disciplines, keynote sessions led by eminent scientists, and poster sessions presented interactively by junior scientists and graduate students. It is the last word forum for all the experts worldwide for brand spanking new interdisciplinary scientific collaborations and networking.

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AI applied to healthcare includes a collection of technologies that enable machines to sense, interpret, act, and learn. With the evolution of data analytics whether applied to big data, population health, practice-specific data, or patient-specific data healthcare services will exponentially expand their ability to leverage artificial intelligence. This session addresses how IoT sensor data and connected health and related devices add a new layer of critical, real-time data that can transform healthcare functions into data-driven services to improve health outcomes, enable remote diagnostics, and deliver healthcare more efficiently.

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ME Conferences is gratified to welcome you to be a part of the 9th Global Summit on Artificial Intelligence and Neural Networks which will be held on June 21, 2021. The conference mainly focuses on the theme "Upgrading the smart generation by using Artificial Intelligence".

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Total overall spending on Artificial Intelligence (AI) will reach $40.6 billion by 2024. Recent years have recognized the innovative development brought by AI technologies. These changes can advance many practices and health is no protected. The amazing changes in healthcare also brought many research opportunities in a huge range of application fields, such as Health, health data quality assessment, personalized health with sensor data, cross-source learning for better lifestyles, and health data visualization. The part of AI advances in client benefit and the test postured by AI calculations which are set to change the financial management division.

Read on artificialintelligence.annualcongress.com

As previous AIME conferences (from Pavia in 1985 to the US in 2020) will be a unique opportunity to present significant theoretical, methodological, and applied results related to the application of artificial intelligence (AI) in medicine. AIME 2021 will include two invited lectures, full and short papers, tutorials, workshops, and a doctoral consortium.

Delayed care leads to poorer outcomes and higher healthcare costs. Understanding when patients seek care and promoting early intervention can enable physician success. Providers must transition away from episodic care towards prevention, but doing so requires data analytic technologies that enable population health.

The Predictive Analytics Summit hosted by HealthITAnalytics will examine how technology can enable data-driven interventions that promote population health. Artificial intelligence, big data, and predictive analytics all play a role in helping providers close care gaps and improve clinical outcomes.

Over two days, the Ai4 2021 Healthcare Summit brings together business leaders and data practitioners to facilitate the adoption of artificial intelligence and machine learning technology. Join us at the industry’s most impactful AI for healthcare event.

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Improving clinical documentation integrity (CDI) is a strategic necessity for healthcare organizations as it impacts far more than optimized claims processing: an accurate and complete clinical record supports patient care, quality outcomes, compliance, risk management, and revenue integrity. Additionally, driving clinically-focused CDI helps not only improve clinical documentation quality but also to get the complete medical picture of the patient, for better clinical outcomes.

Taking a closed-loop approach to CDI by leveraging advanced natural language understanding (NLU), healthcare organizations can effectively bridge workflow silos with shared clinical intelligence across front-end physician and back-end CDI processes. This enables them to meaningfully engage clinicians in the CDI process, prioritize and automate work for CDI specialists (CDIS), and improve overall clinical, financial, and operational outcomes.

Payers and providers are embracing common goals of automation, cooperation, and interoperability. Artificial intelligence can blend these elements into operational change to realize that vision.

This discussion will go beyond the hype of AI to showcase how real-time AI is being used in more than 200 hospitals across the nation, both to transform the process of utilization management and to act as a shared framework between payers and providers.

Bringing together a senior audience and led through a focused program, the inaugural AI-Driven Drug Repositioning & Repurposing Summit will assess leading technical repositioning and repurposing methodologies using AI and cover the tactical remit required to effectively determine the economic outlook of repositioning/repurposing opportunities.

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Over the course of the last year, many of the literal and figurative confines of healthcare have changed and expanded. As we stand in the figurative ruble left behind, what opportunities can we see on the horizon? Many healthcare leaders envision a new frontier that is emerging with enabling cloud technology to deliver seamless end-to-end data and knowledge sharing, mature digital transformation, and integrated platform workflows. In tandem, the business model of healthcare must be re-engineered along with it to increase flexibility and monetization of growth area high-value services mapped to patient population needs. This digitized and borderless future healthcare landscape will drive new and necessary innovations to reconfigure healthcare not just from a clinical, patient-centric perspective but a more efficient operating model one as well. 

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With EHR adoption now widespread, leading health systems are turning to AI to glean insights from digital health records, and automation to translate these insights into action. Deployed effectively, these technologies have been proven to increase patient engagement, accelerate COVID vaccine deployment, and optimize the revenue cycle - all while reducing the cost of care.

Join Dr. Bob Wachter - Chair of Medicine at UCSF and author of New York Times bestseller The Digital Doctor: Hope, Hype, and Harm at the Dawn of Medicine’s Computer Age, alongside Dr. Muthu Alagappan, Medical Director at Notable Health, to learn tested strategies for using AI and automation to get the most out of your EHR data and thrive in the post-EHR era.