Aidoc’s Post

Imagine if #LLMs could attend #medical conferences, participate in workshops, and practice medicine!!! Imagine a network of connected #LLMs participating in patient care (alongside physician or not) and exchange their observations/interactions to debate and discuss every patient's case for a better outcome! It may not happen anytime soon, but it is a possibility! Currently, the high cost in time and money to train and update them keeps their knowledge somewhat frozen in time. We're on the cusp of a revolution, but there's a path yet to tread. #ai #data #AIinMedicine #FutureOfHealthcare

In a featured session at SXSW, Dr. Vin Gupta, MD MPA delves into the topic of how we "get to a place in 2030 where we don’t have a workforce crisis". This is such an important issue we face. We know clinician burnout is a major hurdle, and the journey to overcoming it still has considerable distance to cover. We’re starting to see AI agents help with clinical documentation, scribing, and even diagnostic support. Simultaneously, tools are surfacing to enable patients to access earlier detection and digital medical records, connect with clinicians, self-help with wellness, and utilize remote monitoring devices. Dr. Gupta discussed intriguing advancements in cutting-edge diagnostics for the future, artificial intelligence-based clinical decision support systems, and the concept of home-based hospital care to transform the healthcare experience. All of the above will aid in the workforce crisis. At Veritas, we also believe AI-powered agents focused on recruiting and hiring will transform the healthcare talent supply chain and aid in the overall workforce crisis — helping facilities gain access to the right clinician at the right time. Join us as we transform the staffing issues we face today! You can listen here: https://lnkd.in/gJK6-ytP #healthtech #aihealthcare #ai #healthcare #llm

AI legislation food for thought: Members of Congress are concerned that AI may be perpetuating bias in medicine, amid reports that health insurers are using algorithms to deny care. In cases such as algorithms, applied by insurers to expedite utilization management, “improper denials or delays of needed services warrant government scrutiny.” But in other instances, including AI-related challenges stemming from insufficient provider experience and education, a lighter legislative touch is needed. Along these lines, AI highlights the need for adaptability,”“One-size-fits-all, overly rigid, and unduly bureaucratic laws and regulations risk stifling life-saving advances and becoming outdated before they are even codified.” Work that is already underway to improve transparency around imaging AI: the American College of Radiology’s new program, which asks AI manufacturers to disclose details about how they created algorithms. Its aim is to aid radiology practices in selecting products tailored to their needs. #3DVision #Digitaldentistry #RGEMBA #DigitalDentistrySeries #AI #RGAI #AIinHealthcare

The humanity is making significant progress towards providing affordable high-quality healthcare to everyone. A recent study revealed that an AI system outperformed primary care providers on every evaluated care dimension, including history-taking, diagnostic accuracy, management reasoning, communication skills, and empathy. The study, which involved clinical specialists and patient actors, compared the performance of the AI system with doctors on text-based consultations. With this advancement, we are getting closer to providing world-class care to anyone for pennies per encounter. https://lnkd.in/efQAEbNh

Addressing drug diversion in healthcare requires multifaceted approaches. Best practices like EPCS and PDMPs are vital as diversion rates rise, especially among healthcare workers. In inpatient settings, AI and machine learning identify potential risks. Leadership involvement, education, and compliance are vital for mitigating drug diversion. Learn more in our blog: http://ow.ly/6pqM104Z23j #DrugDiversion #HealthcareSafety 💊🏥🚀

Addressing drug diversion in healthcare requires multifaceted approaches. Best practices like EPCS and PDMPs are vital as diversion rates rise, especially among healthcare workers. In inpatient settings, AI and machine learning identify potential risks. Leadership involvement, education, and compliance are vital for mitigating drug diversion. Learn more in our blog: http://ow.ly/6pqM104Z23j #DrugDiversion #HealthcareSafety 💊🏥🚀

Addressing drug diversion in healthcare requires multifaceted approaches. Best practices like EPCS and PDMPs are vital as diversion rates rise, especially among healthcare workers. In inpatient settings, AI and machine learning identify potential risks. Leadership involvement, education, and compliance are vital for mitigating drug diversion. Learn more in our blog: http://ow.ly/6pqM104Z23j #DrugDiversion #HealthcareSafety 💊🏥🚀

Addressing drug diversion in healthcare requires multifaceted approaches. Best practices like EPCS and PDMPs are vital as diversion rates rise, especially among healthcare workers. In inpatient settings, AI and machine learning identify potential risks. Leadership involvement, education, and compliance are vital for mitigating drug diversion. Learn more in our blog: http://ow.ly/6pqM104Z23j #DrugDiversion #HealthcareSafety 💊🏥🚀

Join Medical Director of Neurointerventional Service at Renown Health, Rajesh Rangaswamy, MD, for an insightful and informative session on the deployment of AI for both acute neuro patient capture and care activation. Grab your spot 👇 #healthcareai