Doctolib’s Post

"Artificial intelligence, as an emergent technology, is poised to transform healthcare in a number of ways. There are a lot of expectations being placed on the technology, and in some cases it can deliver. It has shown promise in crunching large amounts of data and in informing clinical decisions and insights, and while it's not a magical solution, more and more applications for AI are starting to emerge." #AI #healthcare

Decoding Healthcare AI: Your Simple Guide https://lnkd.in/dzeSU5hq Health News and Modern Medical Developments

While AI in healthcare has a lot of potential applications, it also has a lot of emerging guidelines and roadblocks. This is a great article from Dr. Eve Cunningham on how the government is regulating AI in healthcare, and how to get ahead of it. To scale AI for your healthcare system, ask yourself which target groups your AI will be used by, the amount of resources required, and speed and efficiency. When setting guidelines and rules, expect stricter policies for monitoring sensitive patient data in clinical applications and user data in consumer-facing areas. #AI #healthcare #AIGovernance

Are you ready to explore the groundbreaking impact of AI in transforming the healthcare industry? Dive into Rami Riman latest blog to uncover the incredible ways AI is reshaping the industry. From personalized patient care to predictive analytics, this technology is driving innovation and improving outcomes. Don't miss out on the transformative power of AI in healthcare. Read the full blog here ➡️ https://lnkd.in/esjeTHMT #Healthcare #AI #Innovation #HealthTech #Blog

All great things come in trios – we've published the final blog of our three-part series from Yahya Anvar, Chief of AI science & insights at OKRA.ai, on AI's evolving role in medical affairs and enhanced patient outcomes. This part will focus on the three factors that make up the foundation of a successful medical affairs strategy: Platform, People, and Process. I've long said AI's true capabilities are realized when they're paired with human expertise, so I especially appreciated Yahya's closing: "Combining the unparalleled processing power of AI with the nuanced understanding and empathy of human intelligence, we set the stage for a future where the potential of life sciences is limited only by our imagination."

In the last year or so, I met these folks Prosenjit Kundu Promit Ghosal Joyce Musweu and we all seem united in one thing - leveraging AI within Healthcare systems particularly as it relates to Clinical Analysis (as defined by Nikhil Sahni) And I must say, something is in the oven...our series of how AI can impact Healthcare is only a start. Read our current view and let me know your thoughts https://lnkd.in/ehsK4gFz #XAI #healthcare #clinical #aiadoption

Check out our recent medium article on AI in Healthcare.

Concluding our enlightening three-part blog series on artificial intelligence (AI) in healthcare, we're thrilled to present the latest insights from Yahya Anvar, Chief of AI Science & Insights at OKRA.ai. In this final installment, discover how the fusion of AI and human synergy is not just revolutionizing life sciences but setting a new standard for patient outcomes and medical decision-making. Dive into the three Ps – Platform, People, and Process – that form the cornerstone of our strategy, ensuring that technology and human intelligence are not just enhancing capabilities together, but redefining what's possible in medical affairs.   Together, we are envisioning a world where technology and empathy go hand in hand for the betterment of patient care.   To explore how we're leveraging AI to pave the way for a future where healthcare is more anticipative, personalized, and community-focused click below: https://lnkd.in/d7bjnq6f #EnvisionPharma #AI

Tell Me Why: The Imperative of Explainability in AI for Healthcare | Healthcare IT Today - Healthcare IT Today #ExplainabilityInAI #HealthcareIT #AIinHealthcare In the blog post "Tell Me Why: The Imperative of Explainability in AI for Healthcare" on Healthcare IT Today, the author discusses the importance of explainability in AI for healthcare. #WhatIsExplainabilityInAI Explainability in AI refers to the ability to understand and interpret how AI algorithms make decisions. #ChallengesInAIExplainability One of the challenges in AI explainability is the complexity of AI algorithms and the black box nature of some AI systems. #BenefitsOfExplainabilityInAI Explainability in AI can lead to increased trust in AI systems, better decision-making, and improved patient outcomes ai.mediformatica.com #healthcare #trust #transparency #about #advanced #diagnostic #proprio #advancedtechnologies #aiintegration #artificialintelligence #improvepatientoutcomes #integration #digitalhealth #healthit #healthtech #healthcaretechnology @MediFormatica (https://buff.ly/3SKFrc6)