Vinay Seth Mohta’s Post

Artificial intelligence is one of the most significant trends in most parts of society. Increasingly, oncologists & #lungcancer researchers are including AI as part of their research & patient care. In this episode of #LungCancerConsidered, host Dr. Narjust Florez leads a discussion of this compelling technology, focusing on its promise & limitations, w/guests Dr. Sanja Dacic from Yale School of Medicine, and Dr. Fabio Ynoe de Moraes from the Kingston Health Sciences Centre. Listen: https://lnkd.in/gbzadh2K #LCSM

Eye scans detect signs of Parkinson’s disease up to seven years before diagnosis The use of data from eye scans has previously revealed signs of other neurodegenerative conditions, including Alzheimer’s, multiple sclerosis and, most recently, schizophrenia, in an emerging and exciting field of research referred to as “oculomics”. Doctors have known for a long time that the eye can act as a ‘window’ to the rest of the body, giving a direct insight into many aspects of our health. High-resolution images of the retina are now a routine part of eye care – in particular, a type of 3D scan known as ‘optical coherence tomography’ (OCT), which is widely used in eye clinics and high-street opticians. In less than a minute, an OCT scan produces a cross-section of the retina (the back of the eye) in incredible detail – down to a thousandth of a millimetre. These images are extremely useful for monitoring eye health, but their value goes much further, as a scan of the retina is the only non-intrusive way to view layers of cells below the skin’s surface. In recent years, researchers have started to use powerful computers to accurately analyse large numbers of OCTs and other eye images, in a fraction of the time it would take a human. Using a type of AI known as ‘machine learning’, computers are now able to uncover hidden information about the whole body from these images alone. Harnessing this new potential is what oculomics is about. This work has involved collaboration between the NIHR (National Institute of Health and Social Care) Biomedical Research Centres at Moorfields Eye Hospital, University Hospital Birmingham, Great Ormond Street Hospital (GOSH), Oxford University Hospital, University College Hospital London and the UCL Great Ormond Street Institute of Child Health. The scope and quality of the research has been maximised through these exceptional NHS research partnerships.

Preventative care tends to be highly price elastic are we seeing a shift in the ecosystem with the emergence of early detection? Early detection needs to be linked to effective interventions that have been tailored to early stages of disease do you think this will drive a shift in clinical studies in sub populations with no nuro degenerative symptoms?

This is interesting research ! Thanks for sharing Bertalan Meskó, MD, PhD The study, published today in Neurology®, the medical journal of the American Academy of Neurology, identified markers of Parkinson’s in eye scans with the help of artificial intelligence (AI). Its analysis of the AlzEye dataset was repeated using the wider UK Biobank database (healthy volunteers), which replicated the discoveries. The use of these two large, powerful datasets has enabled the team to identify these subtle markers, even though Parkinson’s disease has a relatively low prevalence (0.1-0.2% of the population). Generation of the AlzEye dataset was enabled by INSIGHT, the world's largest database of retinal images and associated clinical data. The use of data from eye scans has previously revealed signs of other neurodegenerative conditions, including Alzheimer’s, multiple sclerosis and, most recently, schizophrenia, in an emerging and exciting field of research referred to as “oculomics”. #data #ai

Enhancing patient care by using AI, across spectrum of disease and medical issues,

Predicting sudden cardiac death may be possible using artificial intelligence (AI) to analyze medical information in electronic health records Researchers actually analyzed electronic health records from 25,000 people who had died suddenly and 70,000 people hospitalized for cardiac arrest who did not die in Paris, France and Seattle. Washington and other associates used AI to build personalized health equations that identified each person's risk of dying from sudden cardiac arrest. With AI's system power,Predicting sudden cardiac death, and perhaps even addressing a person's risk to prevent future death, may be possible through artificial intelligence (AI) And could offer a new move toward prevention and global health strategies, according to preliminary research, which is to be presented at the American Heart Association's Resuscitation Science Symposium 2023. The meeting, which is Nov. 11-12, in Philadelphia, is a premier global exchange of the most recent advances related to treating cardiopulmonary arrest and life-threatening traumatic injury's in the world. #healthcare #ai #washington

Charting AI’s Future in Health and Medicine - Today!

"Why haven't we seen a return on investment?" "Why are we not improving patient outcomes?" "Why are we not increasing efficiency?" These are the questions plaguing American healthcare. This is the reality when the industry adopts a tech-first approach without reevaluating antiquated thinking, redesigning clunky workflows, addressing clinician burdens, and reconsidering how we measure performance and quality improvement. I hope others will follow Helen Burstin's lead. It's the "what" we decide to use #AI for that will bring transformational change, not the "how" or the mechanics of AI. #ResponsibleAI #IdeationInnovation #ContextIsKing

The Mayo Clinic's use of AI in cardiovascular medicine marks a transformative era in healthcare. With AI-powered diagnostics and personalized treatments, we're witnessing improved patient outcomes and efficiency. From intelligent clothing detecting arrhythmias to AI algorithms predicting stroke risk, the future of heart care is here, and it's precise, accessible, and effective. As a professional intrigued by tech's impact on healthcare, I see AI's potential as boundless. Share your thoughts on AI's role in modern medicine! #AIHealthcare #CardiovascularInnovation #MayoClinic Original article: https://lnkd.in/ejD456Kz

I am delighted to announce the publication of our paper, "Foundation Metrics for Evaluating LLM-Powered Healthcare Chatbots," in Nature npj Digital Medicine; this paper is authored by Mahyar Abbasian, Elahe Khatibi, Iman Azimi, David Oniani, Zahra Shakeri, Alexander Thieme, Ram D. Sriram, Zhongqi Yang, Yanshan Wang, PhD, FAMIA, Bryant Lin, Olivier Gevaert, Jia Li, Ramesh C Jain, Amir M. Rahmani. This research was conducted in collaboration with teams from the University of California, Irvine, Stanford University, the National Institute of Standards and Technology (NIST), HealthUnity, the UCI-Institute for Future Health, the University of Pittsburgh, and the University of Toronto. Please refer to the following link: https://rdcu.be/dCTxJ #generativeai #ai #LLMs #aimetrics #healthcare