Medical Device Network’s Post

AI aids in predicting heart failure, improving patient outcomes. #SavingLives 🤝 Follow us on Discord 🔜: https://lnkd.in/gt823Zd3 🤝 Follow us on Whatsapp 🔜 https://wapia.in/wabeta _ ❇️ Summary: The Peter Munk Cardiac Centre in Toronto has developed an AI system called SEATTLE HF that can forecast a patient's heart health more accurately than physicians. The AI tool is designed to assist doctors in making better judgments for patients, such as recommending heart surgery, adjusting medication dosage, or exploring alternative treatments. The AI tool can also help alleviate the strain on the healthcare system and contribute to patients living longer, healthier lives. However, further integration of AI tools into hospitals is needed. Hashtags: #chatGPT 1. #AIforHeartHealth 2. #PredictingHeartFailure

GPT-4 Matches Ophthalmologists in Glaucoma, Retina Management - Health IT Analytics Summary: #GPT4 #Ophthalmologists #Glaucoma #RetinaManagement A recent development in healthcare IT involves the use of GPT-4 to match ophthalmologists with patients requiring specialized care in glaucoma and retina management. This advanced technology has the potential to streamline the patient referral process and improve overall patient outcomes. Key Points: #ArtificialIntelligence #PatientReferrals - GPT-4 is a powerful artificial intelligence tool that can accurately match ophthalmologists with patients based on their specific needs in glaucoma and retina management. - By leveraging GPT-4, healthcare providers can ensure that patients receive timely and appropriate care from the most qualified specialists. - This technology has the potential to enhance the ai.mediformatica.com #ophthalmology #research #gpt4 #health #model #mountsinai #retina #this #analytics #diagnosis #jama #largelanguagemodels #digitalhealth #healthit #healthtech #healthcaretechnology @MediFormatica (https://buff.ly/3UP0dck)

https://lnkd.in/gJb2T2zU Article title: Attention for the speech of cleft lip and palate in speaker recognition   Author(s): Lakshmi Prasanna P*   Journal: Open Journal of Pain Medicine   Journal ISSN: 2640-8104 Abstract: Artificial Intelligence (AI) has become indispensable to all people, primarily for the purposes of speaker recognition, voice identification, educational purposes, workplace, and health care. Based on a speaker’s voice characteristics, identification and recognition of the speaker is accomplished. The voice is affected by both intra- and interspeaker variability. In addition to this, a condition known as structural abnormalities can cause resonance, which can seriously affect voice quality. As a result, speakers may experience difficulties when using AI-based devices. The study aims to investigate the effects of speech with cleft lip and palate on speaker recognition. The review stated that even after surgery, some people with cleft lip and palate exhibit hypernasality and poor speech intelligibility depending on the severity of the cleft. #ArtificialIntelligence #CleftLipAndPalate #VoiceQuality #SpeakerRecognition #Hypernasality #PhysiologyOfPain #MechanismsOfPain #AcutePain #ChronicPain #TherapeuticOptions #PainControl #InterventionalProcedures #NonPharmacologicApproaches #PostoperativePain #OncologyPain #PainSyndromes #PalliativeCare #PediatricHealth #AgingHealth #Peertechz #PeertechzPublications #OpenAccess #ScientificJournals #PeerReviewedJournals #OpenAccessPublishers #Pharmacology #Addiction #Abuse #PainMedication #AdverseEvents #DrugSafety #PharmacoeconomicsResearch #QualityOfLife

AI is making significant strides in medical devices. Learn how FDA approvals are increasing as AI supports advancements in fields like #radiology, #neurology, and #gastroenterology. #AI #medicaldevices #manufacturing #supplychain

The integration of generative AI into healthcare signifies a monumental leap towards revolutionising patient care and medical research. - By facilitating early diagnosis and personalised treatment plans, generative AI stands to substantially improve outcomes for conditions like Alzheimer's disease and various ear disorders. - The shift towards digital health solutions, such as the implementation of Enhanced Recovery After Surgery protocols, exemplifies the healthcare industry's move towards more efficient, patient-centred care. #Healthcare #Innovation #AI https://lnkd.in/gqW4ymbc

Outsourcing medical billing with automation, machine learning, and AI can significantly reduce administrative burdens, allowing your team to focus more on patient care. #RevenueCycleManagement #RCM #MedicalBilling #Endocrinology #Nephrology #Dialysis #Healthcare #PatientCare #ClaimsSubmission #MedicalCoding #DenialManagement #HealthcareProviders #InsuranceVerification #HIPAACompliance #Credentialing #Automation #MachineLearning #AI #Wednesday

🚀 Revolutionizing Cataract Care with AI 🚀 Artificial intelligence (AI) is transforming healthcare by providing a cheaper, faster, and more efficient service for cataract patients, all while easing the pressure on NHS staff. Let’s explore how! 🌟 🔹 Meet Dora: (From UK Business Ufonia) The AI Voice System Developed in Oxford, Dora is an automated voice system designed to assist cataract patients. 📞 Dora calls patients, asks key questions, interprets their answers, and identifies those needing further clinical assessment. 🔹 Impressive Results 📊 A study published in The Lancet’s eClinicalMedicine in July found Dora's decisions highly aligned with those of supervising ophthalmologists. 🏥 Currently, Dora is in use by nine hospital trusts, primarily in the south of England. 🔹 Patient Prioritization Over 200 patients who recently underwent cataract surgery participated in the study. Three weeks post-operation, they received a follow-up call from Dora. 🔹 Expert Insights Dr. Kanmin Xue, honorary consultant ophthalmologist and co-principal investigator at Oxford University Hospitals NHS Trust, shared: "Dora autonomously calls patients and gathers key information to determine if they are recovering well or need further medical assessment." 🌟 "It successfully prioritizes those needing additional clinical input." 🔹 Cataract surgery is the most frequently performed surgical procedure in the UK, with nearly half a million operations annually (Royal College of Ophthalmologists). 💡 This routine procedure treats blurry vision by replacing the eye’s natural lens with an artificial one. AI like Dora is making waves in healthcare, improving patient outcomes, and streamlining processes. 🌐 How do you see AI transforming the future of medicine? (some results in the images) #HealthcareInnovation #AI #GenAI #Largelanguagemodel #CataractCare #NHS #MedicalTechnology #PatientCare

Examples of successful use cases for AI in improving patient outcomes and experiences? One standout example is the Mayo Clinic's use of AI to predict which patients are at risk of serious cardiac events. By analyzing vast amounts of patient data, their AI model can identify subtle patterns that human doctors might miss, enabling early intervention and potentially saving lives. Across the ocean, London’s Moorfields Eye Hospital has revolutionized ophthalmology with DeepMind's AI system. This technology can analyze eye scans with extraordinary accuracy, speeding up the diagnosis process for diseases like diabetic retinopathy and macular degeneration. What once took weeks now takes mere minutes, with a level of precision previously unheard of. In Boston, Massachusetts General Hospital employs AI to streamline radiology. Their AI models quickly analyze imaging scans to detect abnormalities such as fractures or tumors. This not only accelerates diagnosis times but also allows radiologists to focus on more complex cases, enhancing patient care. These examples underscore a pivotal shift in healthcare. AI isn't just a tool for efficiency; it's becoming a partner in patient care, offering insights that augment the human touch in medicine. Let's discuss: How could AI shape the future of healthcare in other specialties? Share your thoughts and let's explore the possibilities together. #AIinHealthcare #PatientOutcomes #HealthcareTechnology #PrecisionMedicine #DigitalTransformation

Identifying who are unlikely to benefit from total knee arthroplasty using machine learning models - npj Digital Medicine Summary: A recent study published in Nature explores the use of machine learning models to identify patients who are unlikely to benefit from total knee arthroplasty. The study aims to improve patient outcomes by predicting which individuals may not experience significant improvement post-surgery. By analyzing various factors such as demographics, comorbidities, and preoperative symptoms, the models can help healthcare providers make more informed decisions about treatment options. The findings suggest that machine learning can be a valuable tool in personalized medicine, allowing for more tailored and effective care for patients undergoing total knee arthroplasty. #Introduction: The study published in Nature focuses on using machine learning models to predict which patients are unlikely to benefit from total knee arthroplasty. #Methods: Researchers ai.mediformatica.com #data #clinical #patients #digital #learning #machinelearning #health #medicine #oxford #digitalmedicine #survey #healthcare #digitalhealth #healthit #healthtech #healthcaretechnology @MediFormatica (https://buff.ly/3ZKWYoR)

These challenges and solutions for Ortho AI adoption are spot on. 🎯