Shusma Balaji, Data Scientist, Data Science and AI, BSI discusses the ethical issues surrounding AI in healthcare, and why developing systems that align with moral principles and values is critical for safe innovation and widespread adoption. #EthicalAI #Healthcare #BSIGlobal
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Chief Communications Officer, STEM NOLA | STEM Global Action • Board Chair, Alzheimer's Association Louisiana Chapter [21.2K+ micro-influencers]
In an article published on KevinMD, written by Liudmila Schafer, MD, FACP, hematologist-oncologist and editor of "Artificial Intelligence in Medicine: A Compilation of Stories from Doctors Across Multiple Disciplines on AI Breakthroughs, Challenges, and Potentials in the Healthcare System," the author explores the transformative potential of artificial intelligence (AI) in healthcare. Schafer envisions a future where AI serves as a personal health or administrative assistant, tirelessly analyzing patient data to provide tailored care. Startups are increasingly utilizing AI as a versatile tool to revolutionize patient care and daily medical practices. However, Schafer emphasizes the challenges for physicians, including safety, ethics, and legal implications, as they navigate the evolving landscape of AI in healthcare. The article highlights the importance of AI tools in broadening physicians' knowledge, augmenting expertise, and connecting them with relevant audiences. Despite the excitement surrounding innovative AI solutions, Schafer acknowledges the practical challenges of integrating these tools into busy physicians' routines. The author encourages physicians to play a crucial role in educating the public about the use of AI in healthcare and emphasizes the need for ethical considerations and trust in AI adoption. Ultimately, the article concludes with the idea that the future of healthcare lies in collaboration between humans and AI, working together to create a symphony of healing. #AIinHealthcare #PhysicianBurnout #FutureOfMedicine
AI in health care: a synergy of humans and technology
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We have an interesting use case we have been working on a couple of years ago: ........................................................................................................................ On Assessing Trustworthy AI in Healthcare. Machine Learning as a Supportive Tool to Recognize Cardiac Arrest in Emergency Calls https://lnkd.in/dpKh_zF #trustworthyAI #AI #healthcare #cardiacarrest #machinelearning #copenhagen #Denmark
On Assessing Trustworthy AI in Healthcare. Machine Learning as a Supportive Tool to Recognize Cardiac Arrest in Emergency Calls
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Revolutionizing healthcare: AI and algorithms 💡🤖 Discover how algorithms and artificial intelligence are transforming healthcare systems, posing both opportunities and challenges. From diagnosing diseases to resource allocation, the impact is profound. But what about bias and accountability? Explore the ethical and regulatory concerns with insights from Carmel Shachar. Read more on Science News: https://lnkd.in/dEUdKiFa #sciencenewsdk #AI #Healthcare #Innovation #Ethics #NovoNordiskFoundation
Algorithms and artificial intelligence challenge healthcare systems
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At #ASHPPharmacyFutures, Kenneth A. Richman, PhD, of Massachusetts College of Pharmacy and Health Sciences, explored the disruptive nature of AI in health care, discussing both the benefits and drawbacks for the health care workforce. -AI as a Disruptive Technology: Richman emphasized that AI, like past technological advancements, shakes up existing practices. This disruption can be both positive and negative, forcing change and challenging the status quo. -Historical Parallels: Richman drew comparisons to past shifts, such as the transition from paper to computer records in pharmacies and the advent of X-ray technology. These changes faced initial resistance but eventually transformed practices by providing new, invaluable insights. -Benefits and Drawbacks: While AI and machine learning allow us to process vast amounts of data and see things previously unseen, they can also divert attention from other critical aspects of patient care. Richman highlighted the ethical considerations of maintaining focus on the patient amidst technological advancements. -Governability and Sustainability: Richman stressed the importance of ensuring AI remains controllable and governed to prevent scenarios reminiscent of dystopian films (eg, Terminator or The Matrix). Moreover, he pointed out the significant environmental impact of AI, urging the health care industry to consider sustainability in its adoption. -Looking Ahead: As AI continues to evolve, health care professionals must balance its transformative potential with ethical considerations, ensuring it enhances patient care without introducing new biases or sustainability challenges. #HealthcareInnovation #AI #DisruptiveTechnology #EthicalAI #HealthEquity #ASHP2024 #PharmacyFutures https://lnkd.in/e3UvUtA3
The Disruptive Impact of AI in Health Care
pharmacytimes.com
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The Disruptive Impact of AI in Health Care: Kenneth A. Richman, PhD, discusses the disruptive nature of artificial intelligence (AI) in health care, highlighting both its transformative potential and the ethical considerations of governability and sustainability in its implementation. #finance #pharmacy #lifesciences
The Disruptive Impact of AI in Health Care
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Estrategista de Negócios | Especialista em Desenvolvimento de Lideranças e Negócios | Vendas | R&D | Indicadores Chave Business Strategist | Leadership and Business Development Specialist | Sales | R&D | Key Indicators
With unprecedented demand on hospitals and medical institutions, many are utilizing artificial intelligence (AI) to ease the burden. For AI models to make accurate predictions, it needs to be trained using real-world data that is currently riddled with many biases that plague society. While AI is a transformational tool in healthcare, developing systems that align with ethical principles and values is critical for widespread adoption. To learn more about the role of AI in healthcare, and its ethical development, go to: https://lnkd.in/di-4-Gs2 #BSI #Healthcare #AI
Ethical considerations of AI in healthcare
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New framework for using AI in health care considers medical knowledge, practices, procedures, values: Health care organizations are looking to artificial intelligence (AI) tools to improve patient care, but their translation into clinical settings has been inconsistent, in part because evaluating AI in health care remains challenging. In a new article, researchers propose a framework for using AI that includes practical guidance for applying values and that incorporates not just the tool's properties but the systems surrounding its use. #ScienceDaily #Technology
New framework for using AI in health care considers medical knowledge, practices, procedures, values
sciencedaily.com
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While AI has myriad early adopters, healthcare has had a rather slow uptake. Understandably so! With the laws and ethics that surround the field and years of research it takes to generate trust and confidence on ground, the field remains resistant to speedy metamorphosis. Let's not forget, 'perseverance winneth'. Slowly but steadily medicine is out of it's infancy stage and making significant advancements Take a look at some examples; https://lnkd.in/e6q4ZYWK #AI #digitalhealth #healthcare #healthtech
The Current State of AI in Healthcare and Where It's Going in 2023
healthtechmagazine.net
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New framework for using AI in health care considers medical knowledge, practices, procedures, values: Health care organizations are looking to artificial intelligence (AI) tools to improve patient care, but their translation into clinical settings has been inconsistent, in part because evaluating AI in health care remains challenging. In a new article, researchers propose a framework for using AI that includes practical guidance for applying values and that incorporates not just the tool's properties but the systems surrounding its use. @Poseidon-US #ScienceDaily #Technology
New framework for using AI in health care considers medical knowledge, practices, procedures, values
sciencedaily.com
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Associate Dean of Research & Professor, Medicine (Biomedical Informatics), Biomedical Data Sciences, Surgery
I am thrilled to have participated in this insightful conversation with thought leaders on advancing transparent and equitable AI. Working together, we are shaping the future of AI to be more inclusive and fair. Excited for the next steps on this important journey! #EquitableAI #ResonsibleAI #AIinMedicine
Advancing transparency, fairness in AI to boost health equity | TechTarget
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