Top 23 AI Companies In Healthcare – The Medical Futurist Newsletter

Here are the most promising ones - from startups to giants The large language models in the spotlight recently - likeChatGPT or Google's incoming MedPaLM - might not be perfect yet. Still, they soon can become the best option we'll have to receive real-time answers to medical questions. If you want to see what these algorithms can do right now, or how you can use them, [click over to this video of our latest live session]( where I tested/introduced a few of them on the fly, making them answer viewer questions. I hope you will find the newsletter useful! Best regards, Berci Bertalan Meskó, PhD The Medical Futurist [TOP ARTIFICIAL INTELLIGENCE COMPANIES IN HEALTHCARE TO KEEP AN EYE ON]( More and more companies set the purpose to disrupt healthcare with the help of artificial intelligence. Given how fast these companies come and go, it can prove to be hard to stay up-to-date with the most promising ones. Here, I collected the most prominent names currently on the market ranging from start-ups to tech giants to keep an eye on in the future. [READ MORE]( WHY DO I THINK IT'S IMPORTANT? I see AI as the most prominent force transforming the full spectrum of medicine, with new potential applications surfacing almost every day. [NEW AI MEDICAL CHATBOTS WILL SOON BE BETTER THAN WAITING FOR A DOCTOR]( --------------------------------------------------------------- As these models get better and better, the risk of missing care due to capacity shortages in healthcare will soon outweigh the risk of the algorithms being wrong. We will be better off familiarising ourselves with communicating with such an LLM algorithm – purely because long waiting for medical answers due to the lack of healthcare personnel will pose a higher threat. [READ MORE]( WHY DO I THINK IT'S IMPORTANT? Live consultation with a doctor will become a luxury soon, solutions addressing this issue (from asynchronous telemedicine to medical chatbots) will improve our health prospects. [A GUIDE TO ARTIFICIAL INTELLIGENCE IN HEALTHCARE]( --------------------------------------------------------------- This book aims to equip medical professionals with solid knowledge about how to identify the opportunities and potential use cases of AI in healthcare, and also how they can recognize the risks coming with them. Human-machine collaborations will present unprecedented opportunities and challenges, from technical issues to ethical dilemmas. [GET IT HERE]( [THE NEXT GENERATION OF EVIDENCE-BASED MEDICINE]( --------------------------------------------------------------- "My personal view is that every major disease needs a ‘Moonshot’ program and every rare disease should have an ‘Operation Warp Speed’—both with clearly identified, sustainable goals to improve population health and address equity, diversity and global access to therapies. Methodological advances and future AI-based analyses of all data will provide deep evidence to realize the goal of personalized medicine— that is, to offer the right treatment to the right patient at the right time." [READ MORE]( WHY IT'S IMPORTANT? An excellent paper in Nature from Vivek Subbiah about the future of evidence-based medicine and the design of clinical trials. [ALARMED BY AI CHATBOTS, UNIVERSITIES START REVAMPING HOW THEY TEACH]( --------------------------------------------------------------- In the in-person and digital courses I teach, students have to submit assignments. I don't see how I will be able to differentiate between students that wrote the stories and students that used ChatGPT for the same purpose. Many university professors are dealing with the same issue. "Some professors are (...) crafting questions that they hope will be too clever for chatbots and asking students to write about their own lives and current events." [READ MORE]( WHY DO I THINK IT'S IMPORTANT? The question is not whether kids will use AI to do homework because they will. Our responsibility is to adapt ASAP to this new reality and teach them how to work with AI responsibly and how to check its output for accuracy. [POLICE RAID GYM AFTER APPLE WATCH MISHEARS TRAINER’S WORDS]( --------------------------------------------------------------- In Australia, a personal trainer’s Apple Watch mistakenly sent out an emergency distress call which led to a police raid on a gym. He unintentionally activated the watch while training a client and said, “1, 1-2, nice shot,” which was regarded by Siri as a call for help, so it called emergency services. [READ MORE]( WHY DO I THINK IT'S IMPORTANT? False alarms by watches and phones are becoming an issue. We need to figure out how to settle the matter without losing real emergency calls. [PATIENT-LED RESEARCH INTEGRATION INTO CLINICAL REGISTRIES AND RESEARCH]( --------------------------------------------------------------- "The (...) project moves beyond patient engagement toward a solution where patient-generated data and patient-led outcomes research become an essential component of medical research, leading to more patient-centric comparative effectiveness research (CER). Patients and patient organizations, funders, research institutions and other traditional biomedical research teams can collaboratively build the infrastructure and dynamics needed for patient-led CER." [READ MORE]( WHY DO I THINK IT'S IMPORTANT? Another superb patient-scholar initiative. With scorecards such as this, research teams can ensure they implement patient design while running their study. MORE NEWS ABOUT THE FUTURE OF MEDICINE --------------------------------------------------------------- NIGHT VISION – [Using WIFI to detect the posture and position of people in a room]( TECH LEAP – [How Africa's digital health services are benefiting patients]( FORGOT TO MENTION – [AI Chat used by mental health tech company in experiment on real users]( INSIDE PATIENTS – [Sounds like science fiction? 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