Ajay Tewari’s Post

In this article in Forbes, Dr. Anita G. discusses the rapid advancements in health innovation driven by artificial intelligence (AI) becoming more accessible globally. AI is making healthcare more efficient by analyzing vast amounts of data, aiding in medical diagnoses, and contributing to drug discoveries. In the near future, AI could bring significant changes to healthcare in several ways: 1) Sustainable Tools: AI tools are improving efficiency in analyzing medical images, standardizing processes, and aiding early detection of diseases. However, the challenge includes the need for inclusive datasets to train AI and ensure patient data privacy. 2) Evolution of Personalized Medicine: AI data analysis and patient histories can optimize care strategies, benefitting clinicians in decision-making and future care planning. 3) Transforming Teamwork and Engagement: AI can enhance interdisciplinary care, workforce planning, and patient engagement, especially in complex conditions like cancer. 4) Accelerating Drug Discovery: AI can identify new drug candidates and repurpose older drugs, but regulatory hurdles need to be addressed to streamline the process. 5) Future of Medical Communication: AI can improve communication between physicians and patients, although concerns about depersonalization and the digital divide exist. Despite these promises, challenges like regulation, ethics, safety, and equity must be addressed as AI continues to revolutionize the healthcare industry. #AIinHealthcare #PersonalizedMedicine #HealthInnovation #MedicalCommunication #DrugDiscovery https://lnkd.in/g-q3S6GU

The escalating costs and challenges faced by healthcare systems demand innovative solutions. Artificial intelligence holds immense promise in revolutionizing patient care when it comes to efficiency and affordability. Mihaela van der Schaar is the Director of the Cambridge Centre for AI in Medicine at the University of Cambridge. The lab she leads is focusing on designing AI for real-world medicine. AI-driven data modeling enables researchers to conduct preliminary trials before costly real-world ones, accelerating drug development and making life-changing interventions commercially viable. Learn more about harnessing AI to augment and enhance healthcare in The Guardian: https://bit.ly/3Y5OLJ5 #AI #BioTech #PrecisionMedicine

According to this Economist article, AI in healthcare has “the potential to be transformational” and I couldn’t agree more - there is much to be optimistic about. It’s inspiring to read analyst predictions that AI deployment could save hundreds of thousands of lives each year in Europe alone, and that AI systems are helping improve diagnostic accuracy and disease tracking. There are lots of challenges to face up to but I believe that by employing a truly collaborative approach they can be overcome. The article reminds me of a Yahoo Finance interview Novartis CEO, Vas Narasimhan, gave while in Davos. Vas discussed how Novartis has been using AI through its collaboration with Microsoft Research Labs to help the development of its approach to generative chemistry, which helps speed up how fast Novartis can bring new medicines into the clinic. While Vas pointed out that it is early days for AI in healthcare, in the next five years he saw AI having a positive impact on many of Novartis’s productivity efforts in drug development – including how fast it can generate new trial protocols. I’ve included a link to the interview in comments below. There is real innovation going on in the field and I am truly excited to see what’s next. #Healthcare #AI

Generative AI is beginning to transform healthcare! What do you think the impact will be in years to come?🤔🩺 #healthcare #medtech #medicine #generativeAI #AI

The Biden administration recognizes the potential of AI in transforming the healthcare industry and has shown a commitment to responsibly and thoughtfully harnessing its power. The executive orders put forth by the administration highlight the importance of ensuring the safety, trustworthiness, and ethical use of AI in healthcare. The healthcare sector has often been criticized for its slow pace of innovation and the archaic nature of its systems. However, AI presents a unique opportunity to accelerate medical diagnosis, treatment, and even surgical procedures, especially in the face of labor shortages and increasing demands on the healthcare system. While it is crucial to prioritize patient safety and well-being in all AI applications, it is equally important to strike a balance between AI safety and advancements. We cannot afford to continue with the stagnant or sluggish type of healthcare that has characterized the industry in the past. By embracing AI, we can overcome some of the limitations of traditional healthcare systems and deliver more efficient, accurate, and accessible care to patients. #aihealthcare #responsibleai #trustworthyai #generativeai #transparentai #healthcareai

The excitement surrounding Artificial Intelligence (AI) in healthcare stems from its vast potential to revolutionize the field, offering better diagnoses, personalized patient support, faster drug discovery, and greater efficiency. The transformative power of AI in healthcare is significant, with analysts in Europe predicting it could save hundreds of thousands of lives annually. In the United States, AI's impact could also be financially significant, potentially saving $200 billion to $360 billion from the annual medical spending of $4.5 trillion, which represents 17% of GDP. The applications of AI in healthcare are diverse, ranging from smart stethoscopes and robot surgeons to the analysis of large datasets and interactive medical AIs with human-like interfaces. These technologies promise to enhance diagnostic accuracy, improve disease tracking, predict patient outcomes, suggest better treatments, and streamline hospital and administrative tasks. Evidence already shows AI's capability in boosting diagnostic accuracy, enhancing disease tracking, improving the prediction of patient outcomes, recommending better treatments, increasing efficiency in hospitals by handling tasks like medical transcription and patient monitoring, and speeding up the drug discovery process. Generative AI, among other tools, has the potential to amplify these capabilities even further. However, despite these promising advancements, the integration of AI into healthcare has been slow, and the results have often been mediocre. This slow uptake and the mixed results highlight the challenges in fully realizing AI's potential in healthcare. The complexity of integrating AI technologies into existing healthcare systems, ensuring data privacy, navigating regulatory approvals, and training healthcare professionals to use these technologies effectively are among the significant hurdles that need to be addressed to unleash the full benefits of AI in healthcare. #AIHealthcareFuture https://lnkd.in/dxUZfQ5u

This article from the University of Toronto's "The Varsity" explores the current state and future prospects of AI in healthcare. It discusses how AI technologies are already being utilized in various areas of healthcare, including diagnostics, personalized treatment plans, and administrative tasks. Additionally, the article examines emerging trends such as the integration of AI with electronic health records, virtual health assistants, and predictive analytics. It also considers the potential benefits and challenges associated with the widespread adoption of AI in healthcare, emphasizing the importance of ethical considerations, data privacy, and regulatory frameworks. Overall, the article provides insights into the evolving role of AI in shaping the future of healthcare. https://lnkd.in/eZs_Fe36 #healthcare #healthcareai #healthcareit #ehr #api

Spending the entire weekend at iAIM has convinced me that AI has the potential to disrupt healthcare & medicine. I’ve attempted to condense the many sessions into 3 key takeaways: 1. The patient has to continue to take centre-stage. AI is a co-pilot, and the doctor gets the final say (…at least for now). 2. AI will not take over our jobs. But clinicians who use AI will replace clinicians who don’t. 3. AI can reduce paperwork, help with documentation & free clinician time. What this means is that doctors can spend more time talking with their patients, rather than checking boxes or entering text into a screen.

Better diagnoses. Personalised support for patients. Faster drug discovery. Greater efficiency. #AI is generating excitement and hyperbole everywhere, but in the field of health care it has the potential to be transformational. In Europe analysts predict that deploying AI could save hundreds of thousands of lives each year; in America, they say, it could also save money, shaving $200bn-360bn from overall annual medical spending, now $4.5trn a year (or 17% of GDP). From smart stethoscopes and robot surgeons to the analysis of large data sets or the ability to chat to a medical AI with a human face, opportunities abound. There is already evidence that AI systems can enhance diagnostic accuracy and disease tracking, improve the prediction of patients’ outcomes and suggest better treatments. It can also boost efficiency in hospitals and surgeries by taking on tasks such as medical transcription and monitoring patients, and by streamlining administration. It may already be speeding the time it takes for new drugs to reach clinical trials. New tools, including generative AI, could supercharge these abilities. Yet as our Technology Quarterly this week shows, although AI has been used in health care for many years, integration has been slow and the results have often been mediocre.

AI isn't going to replace healthcare workers, but augment their experience, meaning more patients get effective treatments faster than ever before. AI-powered medicine means more personalized medicine. It's what Mihaela van der Schaar calls "the human AI empowerment agenda – using AI to empower humans, not to replace them." #AI #healthcare #medtech #healthtech #artificialintelligence