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Dozenten",{"title":54,"url":55},{"title":57,"url":58},{"title":119,"group":48,"menu":120},"Produkt",[121,122,123,124,125,126,127],{"title":20,"url":7},{"title":65,"url":66},{"title":68,"url":69},{"title":71,"url":72},{"title":74,"url":75},{"title":26,"url":77},{"title":22,"url":10},{"title":129,"group":48,"menu":130},"Rechtliches",[131,133,134,135,136],{"title":132,"url":84},"Impressum",{"title":86,"url":87},{"title":89,"url":90},{"title":92,"url":93},{"title":95,"url":96},{"title":138,"group":48,"menu":139},"Kundenservice",[140,141,142],{"title":101,"url":102},{"title":104,"url":105},{"title":107,"url":108},[144,151,162,171],{"title":145,"group":48,"menu":146},"Empresa",[147,149,150],{"title":148,"url":52},"Nuestros 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enseignants",{"title":54,"url":55},{"title":57,"url":58},{"title":186,"group":48,"menu":187},"Produit",[188,189,190,191,192,193,194],{"title":38,"url":7},{"title":65,"url":66},{"title":68,"url":69},{"title":71,"url":72},{"title":74,"url":75},{"title":15,"url":77},{"title":195,"url":10},"Tarification",{"title":197,"group":48,"menu":198},"Mentions légales",[199,200,201,202,203],{"title":197,"url":84},{"title":86,"url":87},{"title":89,"url":90},{"title":92,"url":93},{"title":95,"url":96},{"title":205,"group":48,"menu":206},"Service client",[207,208,209],{"title":101,"url":102},{"title":104,"url":105},{"title":107,"url":108},{"content":211,"related":310,"meta":374,"internal":381},{"title":212,"leadIn":213,"category":214,"elements":217,"becomeAnExpert":274,"author":299,"readDuration":308,"readDurationFormatted":309},"AI in healthcare: 7 examples you should know","Get yourself up to speed on how AI can be used in healthcare!",{"id":215,"name":216},2,"Blog",[218,231,236,241,246,250,254,258,262,266,270],{"type":219,"data":220},"image",{"readDurationInSeconds":221,"image":222},10,{"alt":223,"title":224,"size":225,"location":228},"Machine learning, the key driving force of AI in healthcare","",{"width":226,"height":227},1920,1280,{"bucket":229,"key":230},"public-drupal-medmastery-assets-production","\u002Fmigrated-images\u002Fmachine-learning-4129175_1920.jpg",{"type":232,"data":233},"free_text",{"readDurationInSeconds":234,"text":235},17.6,"\u003Cp>Busy clinicians barely have enough time to eat and sleep, let alone keep up with all the changes around them. And the changes are coming fast. Blink once and the entire world is talking about artificial intelligence (AI). Blink again and they’re talking about AI in healthcare. Part of our role at Medmastery is to help you—the busy clinician—stay on top of your game. With that in mind, here are seven examples of AI in healthcare that you should know.\u003C\u002Fp>\u003Cp>\u003Cmeta charset=\"utf-8\">\u003C\u002Fp>",{"type":232,"data":237},{"readDurationInSeconds":238,"title":239,"text":240},40,"What is AI?","\u003Cp>Before jumping in, it’s worth reviewing some basic terms and concepts that you may come across:\u003C\u002Fp>\u003Cul> \u003Cli>AI is a very broad term that refers to machines imitating intelligent human behavior.\u003C\u002Fli> \u003Cli>The application of AI as we know it is thus far limited to specific tasks (like a car driving itself), a concept known as \u003Cem>narrow AI\u003C\u002Fem> or \u003Cem>weak AI\u003C\u002Fem>.\u003C\u002Fli> \u003Cli>The idea of artificial general intelligence (AGI)—where an AI system would have full human cognitive ability and perform unfamiliar and unrelated tasks—is known as \u003Cem>strong AI\u003C\u002Fem> and is probably far off.\u003C\u002Fli> \u003Cli>Machine learning is a subset of AI that allows machines (computers) the ability to learn without being explicitly programmed. Because most advances in AI have involved machine learning, the terms are often used interchangeably. \u003C\u002Fli> \u003Cli>The general idea of machine learning involves giving the machine a lot of data along with a task (a goal). Eventually, the machine can accomplish the desired task. Of course, the technical side of the learning can be quite complicated. \u003C\u002Fli> \u003Cli>Deep learning is a type of machine learning that uses artificial neural networks, modeled loosely after the way a human brain works. The tasks accomplished can be more complex.\u003C\u002Fli> \u003C\u002Ful>",{"type":232,"data":242},{"readDurationInSeconds":243,"title":244,"text":245},15.466666666666667,"What are some examples of AI in healthcare?","\u003Cp>\u003Cmeta charset=\"utf-8\">\u003C\u002Fp>\u003Cp dir=\"ltr\">Ample data is key for successful machine learning. With the explosion of data in healthcare, it’s not surprising that AI is making significant inroads into the field. The uses—and potential uses—of the technology are limited only by the imagination. These examples are just the tip of the iceberg, chosen to help you get a general idea of how AI is being used to make positive change.\u003C\u002Fp>",{"type":232,"data":247},{"readDurationInSeconds":248,"text":249},11.733333333333333,"\u003Ch3 dir=\"ltr\">\u003Cb id=\"docs-internal-guid-b0a6bb88-7fff-2804-8784-e3db064a1e10\">Imaging\u003C\u002Fb>\u003C\u002Fh3>\u003Cp dir=\"ltr\">\u003Cmeta charset=\"utf-8\">\u003C\u002Fp>\u003Cp dir=\"ltr\">A well-trained AI can be used to identify a specific type of abnormality, significantly increasing the number of images that can be assessed for that abnormality in a given amount of time. AI is also being assessed in the next generation of radiology tools that could eventually obviate the need for obtaining tissue samples to make certain diagnoses.\u003C\u002Fp>",{"type":232,"data":251},{"readDurationInSeconds":252,"text":253},18.4,"\u003Ch3 dir=\"ltr\">\u003Cb id=\"docs-internal-guid-aea312a3-7fff-4202-26fe-959278afa52e\">AI-assisted robotic surgery \u003C\u002Fb>\u003C\u002Fh3>\u003Cp dir=\"ltr\">\u003Cmeta charset=\"utf-8\">\u003C\u002Fp>\u003Cp dir=\"ltr\">Robots can serve as highly effective assistants for various types of procedures. Given the ability to provide magnified and three-dimensional views not available to the human eye—along with the precision control of robotic arms—robot-assisted surgeries can be associated with less complications and speedier recovery times. As of now, humans have been driving the robots, though self-driving robots will have a role in performing some tasks, taking the burden off the surgeon.\u003C\u002Fp>",{"type":232,"data":255},{"readDurationInSeconds":256,"text":257},8.266666666666666,"\u003Ch3 dir=\"ltr\">\u003Cmeta charset=\"utf-8\">\u003Cb id=\"docs-internal-guid-1143eeb4-7fff-cd50-344e-fba6c2bae457\">Preliminary diagnosis\u003C\u002Fb>\u003C\u002Fh3>\u003Cp dir=\"ltr\">The example that is often given is the successful use of an AI algorithm (involving deep learning) in the diagnosis of \u003Ca href=\"https:\u002F\u002Fwww.nature.com\u002Farticles\u002Fnature21056\">skin cancer\u003C\u002Fa>. A similar concept can be applied to a variety of conditions, helping to prioritize those patients who need timely care.\u003C\u002Fp>",{"type":232,"data":259},{"readDurationInSeconds":260,"text":261},7.466666666666667,"\u003Ch3 dir=\"ltr\">\u003Cb id=\"docs-internal-guid-e40d3d13-7fff-1aab-1ebb-9cce83fe26c5\">Virtual nursing assistants\u003C\u002Fb>\u003C\u002Fh3>\u003Cp dir=\"ltr\">\u003Cmeta charset=\"utf-8\">\u003C\u002Fp>\u003Cp dir=\"ltr\">Available 24 \u002F 7, such assistants can provide quick answers to simple patient questions, particularly in between office visits. These assistants can also be used to help triage patients to the appropriate care setting.\u003C\u002Fp>",{"type":232,"data":263},{"readDurationInSeconds":264,"text":265},12.266666666666666,"\u003Ch3 dir=\"ltr\">\u003Cb id=\"docs-internal-guid-79d79809-7fff-b8c8-2335-16156910d54e\">Connected medical devices\u003C\u002Fb>\u003C\u002Fh3>\u003Cp dir=\"ltr\">\u003Cmeta charset=\"utf-8\">\u003C\u002Fp>\u003Cp dir=\"ltr\">There has been a proliferation of connected medical devices in recent times, adding to the growing heap of available data. The next step is to have such devices process the data and recommend or administer treatment. An example would be the automated optimization of insulin pump settings using the data from multiple blood glucose readings.\u003C\u002Fp>",{"type":232,"data":267},{"readDurationInSeconds":268,"text":269},11.2,"\u003Ch3 dir=\"ltr\">\u003Cb id=\"docs-internal-guid-45d57628-7fff-2d85-6a6c-f5d07a3585cb\">Prescription error recognition\u003C\u002Fb>\u003C\u002Fh3>\u003Cp dir=\"ltr\">\u003Cmeta charset=\"utf-8\">\u003C\u002Fp>\u003Cp dir=\"ltr\">Given AI’s strength in processing data, it makes sense to use the technology to prevent prescription errors. Examples of things that could get flagged are prescriptions that don’t fit the documented past medical history and medication doses that don’t match weight, body surface area, or kidney function.\u003C\u002Fp>",{"type":232,"data":271},{"readDurationInSeconds":272,"text":273},23.2,"\u003Ch3 dir=\"ltr\">\u003Cmeta charset=\"utf-8\">\u003Cb id=\"docs-internal-guid-1c694bd8-7fff-b3f2-0979-726a5f49d326\">Administrative workflow\u003C\u002Fb>\u003C\u002Fh3>\u003Cp dir=\"ltr\">There’s no need to discuss the obvious administrative \u003Ca href=\"https:\u002F\u002Fwww.medmastery.com\u002Fcourse\u002Fburnout-prevention-masterclass-your-path-resilience?utm_source=magazine_sept2021&amp;utm_medium=direct&amp;utm_campaign=b2cmagazine\">burden\u003C\u002Fa> in delivering healthcare. AI (specifically natural language processing) is already being used in voice-to-text transcription for note writing. Similar technology could be used to order tests and write prescriptions, simplifying the time consuming tasks that define day-to-day patient care.\u003C\u002Fp>\u003Cp dir=\"ltr\">Of course, the point of AI in healthcare should be to help healthcare providers and improve patient care. Getting there will involve some growing pains, including steep learning curves and the potential overuse of unnecessary technology. But those barriers shouldn’t—and won’t—halt the inevitable integration of AI into the world of clinical medicine.\u003C\u002Fp>",{"courses":275,"showAwardsBelow":48},[276],{"id":277,"isFreeCmeCourse":278,"title":279,"type":280,"specialization":281,"teachers":283,"cmeCredits":289,"teacherIllustration":290,"backgroundImage":291,"relativeUrl":292,"lastChanged":293,"created":294,"description":295,"relativeURL":292,"meta":296},9045,false,"Teaching Masterclass: Creating an Online Course","course",[282],"Professional development",[284,285,286,287,288],"Franz Wiesbauer, MD MPH","Jessica Phillips, MD","Laura Pacey, PhD","Mag. Brigitte Mair, BA","Nathanael Betz",5,"https:\u002F\u002Fmedmastery-backend-prod-kjbeds.s3.eu-west-1.amazonaws.com\u002Fmedia\u002Fimages\u002F99f55ee9-ea0b-4860-b85b-19b21027b8ad","https:\u002F\u002Fmedmastery-backend-prod-kjbeds.s3.eu-west-1.amazonaws.com\u002Fmedia\u002Fimages\u002F99f55eea-b89d-4050-b8b5-7da33ec5b344","\u002Fcourses\u002Fteaching-masterclass-creating-an-online-course","1773067284","1623625141","Want to be an online medical guru? We’ll teach you how to create a unique online course and record it like a rockstar! These chapters walk you through Medmastery’s process for creating award-winning medical courses so that you can transform your tiny idea into an online masterclass that students will rave about!",{"duration":297,"quizzes":289,"lessons":298},11738,37,{"id":300,"name":301,"image":302,"profession":303,"relativeUrl":306,"specializations":307},9039,"Amol Shrikhande, MD","https:\u002F\u002Fmedmastery-backend-prod-kjbeds.s3.eu-west-1.amazonaws.com\u002Fmedia\u002Fimages\u002F9c43cefc-6b11-410a-b377-ff96a7ab25e9",{"name":304,"description":305},"Nephrologist and Content Writer","Amol is a Nephrologist and a Content Writer at Medmastery.","\u002Fteachers\u002Famol-shrikhande-md",[],179,"3m",[311,336,355],{"id":312,"title":313,"text":314,"image":315,"author":321,"path":329,"readDuration":330,"readDurationFormatted":331,"internal":332},1341,"Breaking news: 5 Medmastery courses accredited by CPD Australia","Australian doctors can receive CPD hours for Medmastery’s courses on diabetes, heart failure, and much more!",{"alt":316,"title":224,"size":317,"location":319},"Cartoon doctor holding a CPD certificate with an Australian flag",{"width":318,"height":318},1201,{"bucket":229,"key":320},"\u002F2026-02\u002FAUS_announcement_FB_IG_1200x1200.png",{"id":322,"title":284,"relativeURL":323,"image":324,"professionLong":325,"profession":326,"weight":328},1563,"\u002Fteachers\u002Ffranz-wiesbauer-md-mph","https:\u002F\u002Fmedmastery-backend-prod-kjbeds.s3.eu-west-1.amazonaws.com\u002Fmedia\u002Fimages\u002F9c43cef0-41ee-4005-9e4a-d8711c816401","Franz is the founder and CEO of Medmastery. He is an internist with a specialization in cardiology and a master’s in public health from Johns Hopkins University.",{"name":327},"Internist",4,"\u002Fmagazine\u002Fbreaking-news-5-medmastery-courses-accredited-cpd-australia",62,"2m",{"created":333,"updated":334,"published":335},1772142086,1772144251,1772142727,{"id":337,"title":338,"text":339,"image":340,"author":347,"path":349,"readDuration":350,"readDurationFormatted":351,"internal":352},1335,"How to use Consensus to do a medical research review (FAST!)  ","Surface the evidence that matters most for your next clinical decision.",{"alt":341,"title":342,"size":343,"location":345},"Logo for Consensus on a computer screen","Consensus logo",{"width":344,"height":344},1800,{"bucket":229,"key":346},"\u002F2025-12\u002FConsensus_magazine image.png",{"id":322,"title":284,"relativeURL":323,"image":324,"professionLong":325,"profession":348,"weight":328},{"name":327},"\u002Fmagazine\u002Fhow-use-consensus-do-medical-research-review-fast",316,"6m",{"created":353,"updated":354,"published":353},1767656752,1770792063,{"id":356,"title":357,"text":358,"image":359,"author":366,"path":368,"readDuration":369,"readDurationFormatted":331,"internal":370},1053,"What is the best tube-feeding formula for this patient?","What is the most appropriate tube-feeding formula for the patient in this case study?",{"alt":360,"title":361,"size":362,"location":364},"A male cartoon doctor on a blue cityscape background","The Medmastery Show, with Dr Franz Wiesbauer",{"width":363,"height":363},1000,{"bucket":229,"key":365},"\u002F2024-04\u002Fpodcast_thumb_small.png",{"id":322,"title":284,"relativeURL":323,"image":324,"professionLong":325,"profession":367,"weight":328},{"name":327},"\u002Fmagazine\u002Fwhat-best-tubefeeding-formula-patient",78,{"created":371,"updated":372,"published":373},1717516990,1745850659,1717516331,{"seo":375,"og":377},{"title":376,"description":213},"AI in Healthcare: 7 Examples You Should Know | Medmastery",{"title":376,"description":213,"image":378},{"alt":224,"title":224,"size":379,"location":380},{"width":226,"height":227},{"bucket":229,"key":230},{"id":382,"created":383,"updated":384,"published":383},452,1631295051,1682589344]