iliomad Health Data ’s Post

Can’t wait to hear more about this research - feels like a new CPT code should be in the works- probably several and some new regulations or at least guidelines on AI for healthcare. #aiforgood #bcs #womenshealth #breastcancerresearch #fda #ama #ai #healthcareai

Age is such a crude way to design screening programs. This study shows that using AI risk prediction algorithms to stratify screening cohorts may improve the cost-effectiveness of screening programs. Key quote: "Artificial intelligence–based risk-stratified programs were estimated to be cost-saving and increase quality-adjusted life-years compared with the current screening program. A screening schedule of every 6 years for lowest-risk individuals, biannually and triennially for those below and above average risk, respectively, and annually for those at highest risk was estimated to give yearly net monetary benefits within the NHS of approximately £60.4 (US $77.3) million and £85.3 (US $109.2) million."

#LLMs offer people with cancer a WAZE-like guide needed to navigate the complexities of care. "Dave AI" is the #AI co-pilot everyone with this diagnosis should access. My Medika Life interview with Eliran Malki, Belong.Life Co-Founder, CEO, and an inventor of this incredible 24/7 info resource, showing how it improves #patientengagement with #health professionals and offers rapid connection to #clinicaltrials. This full-length interview reinforces that #AI, #ChatGPT and #LLMs aren't nifty tech toys - it's an example of how smart tech can sustain and potentially save people's lives. https://lnkd.in/gpFhyew8

In this week's "Thought Leader Series" post, learn more about how OpenAI is used to help doctors improve cancer patient outcomes through automating the analysis process resulting in improved health outcomes. Read the full article here: https://bit.ly/3VAhkNK #Healthcare #AI #Technology #DataAnalysis #OpenAI Reach out to an Trexin Consulting Advisor today and begin preparing for an AI future: https://bit.ly/3jgLNB7

AI in #Palliativecare (Free full text)

Microsoft and Providence have taken a multimodal approach to solving current challenges NHS oncologists are facing... "As if the medical puzzle pieces weren’t challenging enough to fit together, basic logistical information may also be missing from patient records. It may be surprising, but identifying a patient’s oncologist or other specialists that have been involved isn’t necessarily straightforward. This kind of information should be readily organized in the patient record, but in reality it’s often fragmented or absent,” Dr. Leidner says... "AI, however, can summarize this information quickly. Most importantly, it doesn’t require information to be formatted – it can vacuum up lab results, doctors’ notes and digitized scans as they are. It also can figure out that two different terms refer to the same thing, because it can work with natural language." #cancerservices #azureplatform #azureai #assistedcare

This article emphasizes that AI can greatly improve cancer care, but it risks racial and gender biases due to biased training data. To create ethical AI, researchers must diversify data, address health inequities, and balance performance across all groups. AI in oncology must be carefully designed to avoid exacerbating disparities, and regulatory bodies should ensure AI tools are tested across representative populations. Collaboration between experts is key to making AI fairer for everyone. Mendel.ai is open to collaborating on studies to validate our technology and reduce physician/clinician burnout. https://lnkd.in/d_WtZ_FG #MendelAI #clinicalAI #AIinHealthcare #ethicalAI

Eight in 10 (81.4 percent) supported patient consent for AI model use during treatment decisions. In a scenario in which an AI decision model selected a different treatment regimen than the oncologist planned to recommend, most respondents said they would present both options and let the patient decide (36.8 percent), with those from academic settings more likely than those from other settings to let the patient decide (odds ratio, 2.56). Three-quarters of respondents (76.5 percent) agreed that oncologists should protect patients from biased AI tools, but only 27.9 percent were confident in their ability to identify poorly representative AI models.

The thrill of choosing early on to embark on #celltherapies, a field that is not just futuristic but already showing life-changing potential, is just beyond words... We’re on the cusp of something big. With the wealth of data we’re generating—paired with cutting-edge advances in AI—the future of making these therapies scalable, affordable, hence a reality, is within sight. 🌟 Cant wait to see and be part of the next 5-10 years of new drug modalities... https://lnkd.in/dcDqYwVB

AI can perform well in clinical decision-making support; however, the hypothesis that doctors will perform better with AI than without it isn't proven yet. What do you think it will depend on? Great write-up by Dr. Eric Topol, MD