Motifmotion的动态

AI reaches the next. phase in healthcare as reimbursement codes are assigned to AI assisted surgery. Physicians are using AI without a reimbursement code in several cases but the assignment of reimbursement code makes it accessible to many more patients The Centers for Medicare and Medicaid services has officially assigned a national payment rate to an artificial intelligence-assisted prostate cancer mapping tool Unfold AI tool by Aveda . The American Medical Association also implemented a Category III code for reimbursement related to the use of the product.? The code,?0898T, will enable providers to bill for?utilizing the prostate cancer estimation maps produced by the tool. These maps are derived from advanced analysis of image-guided fusion biopbiopsy and pathology, and include tumor margin visualization, margin determination, and physician interpretation and reporting.?

?? Aging and Healthcare: An Opportunity in Disguise! Parkinson’s Treatment. AI Cancer Detection. Glucose Monitoring. See more below: ? Medtronic made history with the FDA approval of its Asleep Deep Brain Stimulation surgery, revolutionizing Parkinson’s treatment. ? AI-driven cancer detection is making waves as Paige and Microsoft launch advanced image-based models for enhanced diagnostic accuracy. ? Abbott’s Lingo CGM system is now available over-the-counter in the U.S., empowering non-insulin users to track glucose in real-time. Follow us for more research and to access the full report. #HealthTech #Healthcare #MedicalTechnology #DigitalHealth #Research

What is AI's potential in detecting, treating, and monitoring colorectal cancer? Treatment strategy selection: AI can use data to predict treatment outcomes and guide the selection of therapies for individual patients. Prognosis evaluation: AI can help predict long-term prognosis for patients with CRC. Image analysis: AI can improve the readability of medical images and help analyze histopathologic images. For example, AI software can analyze multispectral biopsy images with 99.17% accuracy. Biomarker identification: AI can identify biomarkers for non-invasive screening. Robotic surgery: AI can guide robotic surgery to improve results in hard-to-reach areas, which may reduce the chance of recurrence. Early detection: AI-assisted technology, like Medtronic's GI Genius, can help doctors detect pre-cancerous polyps during endoscopies. #HealthCare #Pharmacy #ColorectalCancer #AI #TreatmentStrategy #PrognosisEvaluation #BiomarkerIdentification #EarlyDetection

???? Evaluating ChatGPT as a Patient Resource for Frequently Asked Questions about Lung Cancer Surgery - A Pilot Study ?? Dana Ferrari-Light ???? https://lnkd.in/ec9yEMhX ?? Focus on data insights: - ?? Quality ratings of ChatGPT responses averaged between 3.1 to 4.2 out of 5, indicating generally good performance. - ?? Surgeons identified minor inaccuracies in 100% of responses and major inaccuracies in 36.6%, highlighting discrepancies in information provided. - ???? 66.7% of participating surgeons viewed ChatGPT as a useful information source, suggesting acceptance among professionals. ?? Main outcomes and implications: - ??? ChatGPT shows potential as a supplemental tool for patient education in lung cancer surgery, but its reliability needs enhancement. - ?? Only 55.6% of surgeons considered the AI-generated answers comparable to those from experienced professionals, stressing the need for more accurate content. - ? The lengthiness and lack of specificity in responses pose challenges to effective communication with patients. ?? Field significance: - ?? The integration of AI in patient education reflects a shift towards modernized healthcare resources, but necessitates rigorous evaluation and improvement. - ?? Continued research could lead to advancements in AI deployment for reliable health information dissemination. - ?? Establishing benchmarks for AI quality may foster better integration into clinical practice. ???: [#ChatGPT #LungCancer #AIinHealthcare #PatientEducation #SurgeryInformation #MedicalAccuracy #ThoracicSurgery]

Nexstim & Brainlab Join Forces! ?? When Nexstim nTMS data serves as seed points for tractography planning in Brainlab Elements, you are defining what's clinically and functionally relevant for neuro-oncology surgery. Recently, Dr. Bhadu Kavar (Melbourne Private Hospital, The Royal Melbourne Hospital) referred an ambidextrous and bilingual gentleman for nTMS, who presented with intermittent word-finding difficulties presumably associated with a suspected higher grade lesion in the left 'dominant' parietal lobe. nTMS data produced by Ryan Hamer suggested otherwise, indicating mild bihemispheric language representation favouring right hemisphere dominance, which was exported for tractography planning with Dr Kavar and Uli Mezger. The patient subsequently underwent an asleep craniotomy under general anaesthesia aided with complex electrophysiological mapping, and remained neurologically intact (motor & language) following the procedure. ?? Brainlab have recently announced a strategic financial position in Nexstim involving development and distribution. Together, the two companies will develop new solutions and improved workflows in the neurosurgery field. ?? This newly-announced partnership represents a significant step toward increasing?access and understanding?of Nexstim’s transformative technology thanks to Brainlab’s image-guided surgery portfolio, extensive global network, and commitment to education, which will play a critical role in introducing Nexstim to more clinicians and patients to improve outcomes in neuro-oncology surgery. We're excited to see what happens next ? For those interested, we regularly host demonstrations at our headquarters in Melbourne. Please feel free to reach out if you'd like to learn more: ???? Ryan Hamer ??? [email protected] ?? +61 421 259 609

???????????????????? ???? ??????????????: A Surgery Revolution! ???? - ?? Precision Targeting: Nanorobots can navigate through the body with incredible precision, reducing damage to healthy tissues and enhancing recovery times.?? - ???? Minimally Invasive: These tiny wonders operate at the cellular level, making surgeries less invasive, leading to fewer complications and better outcomes for patients.?? - ??? Cancer Warriors: Nanorobots show promise in targeting and destroying cancer cells directly, offering groundbreaking potential in oncology treatments.?? - ?? Smart Technology: Equipped with sensors and real-time data, these robots offer unparalleled insights into patient health, paving the way for personalized medicine.? Curious about the cutting-edge developments in biomedical fields? Check out SciQst for powerful literature reviews: https://www.sciqst.com ????? #Nanotechnology #SurgicalInnovation #MedicalResearch #SciQst

?? Transforming Lives Through Innovation: Real Success Stories of AI in Surgery ?? - By Douglas Stoakley From diagnosing diseases earlier to revolutionizing complex surgeries, AI is changing the face of healthcare—one success story at a time. In our latest blog, we explore real-world examples of how AI-driven technologies are delivering remarkable results: ? Early detection of lung cancer and diabetic retinopathy ? Enhanced precision in robotic-assisted surgeries like prostate cancer and neurosurgery ? Personalized treatment plans powered by predictive analytics These stories aren’t just about technology—they’re about lives saved, recovery times shortened, and outcomes improved. The future of surgery is here, and it’s driven by AI. Don’t miss this deep dive into the groundbreaking ways AI is shaping the future of healthcare. ?? https://lnkd.in/gZDgWpxR #HealthcareInnovation #AIinSurgery #MedTech #SuccessStories #FutureOfMedicine

???? Reliability of artificial intelligence chatbot responses to frequently asked questions in breast surgical oncology ?? Estefania Roldan-Vasquez ???? https://lnkd.in/ejdM5xgc ?? Focus on data insights: - The average reliability score for ChatGPT in answering breast cancer surgery questions was 3.98 out of 5.00. - Surgeons unanimously found the responses understandable and actionable per the PEMAT criteria. - ChatGPT demonstrated good reliability in responding to breast cancer surgery queries. ?? Main outcomes and implications: - ChatGPT's overall performance was appropriate, with minor or no inaccuracies. - ChatGPT's answers were accurate, clear, and easy to comprehend. - ChatGPT acknowledged its informational role and did not attempt to replace medical advice. ?? Field significance: - Evaluating AI-driven chatbots like ChatGPT can provide valuable insights into their reliability in healthcare settings. - Understanding the accuracy and clarity of AI chatbot responses is crucial for patient engagement and information accessibility. ???: [#artificialintelligence #chatbot #breastsurgicaloncology #datainsights]

I was delighted to meet with surgeon Mr Mark Vasanth, and Dr Sophia Stanford, Lead Research Scientist, of the Peritoneal Malignancy Institute at The Basingstoke and North Hampshire Hospital. All of us at Pseudomyxoma Survivor are proud to be funding an exciting AI research initiative to help predict disease recurrence and survival, to improve patient care and refine primary treatment protocols. ? Using recent advancements in machine learning (ML), a branch of artificial intelligence (AI), the team will analyse data from hundreds of patients treated with cytoreductive surgery (CRS) and intraoperative hyperthermic intraperitoneal chemotherapy (HIPEC).?These major surgical?procedures are the accepted interventions used to address this rare cancer.??The ML-based model is intended to guide clinical decisions and the management of patients facing disease recurrence post surgery.??The research will also include human and patient factors in the ML model development and facilitate trust in the use of AI, alongside conventional medical expertise and experience.

Pseudomyxoma Survivor are excited to announce that it is able to fund an AI research initiative at the Peritoneal Malignancy Institute in Basingstoke, to help predict reoccurrence and therefore survival of this rare cancer.