BostonGene’s Post

🔍 New Poster Alert: AI-Generated OAR Outlines in MR-Only IGBT for Cervical Cancer High Geometric Accuracy: AI-generated outlines for the bladder matched the clinician’s standard exceptionally well with a DSC of 0.94 ± 0.05, indicating strong alignment with manual outlines. Significant Time Savings: Clinicians estimated an average time saving of 13 minutes and 42 seconds per patient when using AI-generated outlines as a starting point, streamlining the planning process and reducing overall treatment time. Consistent Dosimetric Results: The recalculated treatment plans based on AI-generated structures showed similar dosimetric distributions (D2cc) to the original plans, ensuring reliable and effective treatment outcomes. To dive deeper into these findings and learn more about the impact of AI contouring, register for our upcoming webinar: "Impact of AI Contouring for GYN Brachytherapy, Limbus Contour V1.8 New Models" on Wednesday, August 28th at 5:30pm BST. Register Here: https://bit.ly/4ftabrW Disclaimer: Product not available in all markets. Pending regulatory/market clearances. #RadiationTherapy #LimbusAI #MedicalInnovation #HealthcareTech #AIinHealthcare #Webinar

DermaSensor's AI-powered handheld device, recently FDA-approved, employs spectroscopy for real-time detection of the top three skin cancers during office visits. In FDA studies, it accurately identified 96% of skin cancers and demonstrated a 97% accuracy in ruling out cancer. Priced at $199/month for five patients or $399/month for unlimited use, the non-invasive device utilizes light and AI to analyze cellular patterns. DermaSensor aims to streamline collaboration between PCPs and dermatologists, facilitating quicker diagnoses and referrals at the point of care. #AI #artificialintelligence #technews #technologynews #itconsultancy #itservices #visasponsorship #ukvisa #Salient

🔬 Detecting early-stage gastrointestinal cancers is crucial. Drs. Crowley & Gordon developed a miniaturized Spatial Frequency Domain Imaging (SFDI) system for cost-effective, real-time detection. #GastrointestinalCancer #EarlyDetection Learn more: https://iii.hm/1p3u

Discover how AI overcomes challenges in traditional cytology, offering seamless collaboration and improved testing efficiency. 🤖🔬🥼💉🧫 In this Q&A, Michael Quick, VP of Research & Development and Innovation at Hologic, Inc., highlights how AI-powered cytology not only enhances diagnostic accuracy but also becomes a crucial tool in managing chronic illnesses. Read the full Q&A to learn how AI-driven cytology can improve your lab's testing capabilities.👇👇 https://lnkd.in/eKfDZWEF #DigitalCytology #AIInHealthcare #CancerScreening #CervicalCancer

A recent study shows that AI can significantly improve doctors' assessments of mammograms, leading to more accurate detection of breast cancers with fewer false positives. This is a game-changer for early detection and patient peace of mind. Read more: https://ow.ly/xLrn50S97yu What are your thoughts on this innovative use of AI in healthcare? #AIinHealthcare #Mammography #CancerDetection #MedicalTechnology #HealthcareInnovation

Adverse plaque features aim to identify morphologies that increase the risk of later Major Adverse Cardiac Events (MACE). These imaging biomarkers derived from CCTA have been shown to increase the hazard of MACE, above and beyond stenosis and calcification. Also, Evaluation of adverse plaque characteristics is highly subjective and therefore these markers suffer from inter- and intrareader variability. #coronary #computedtomography #ctscan #cardiacct #ctangio

Bria-IMT™ combination regimen activated cancer-fighting CD8+ T cells turning “Cold” tumors “Hot” on ImmunoPET imaging suggesting immune system activation in the patient. Learn more about Bria-IMT: https://bit.ly/3q4udjN

I find these videos fascinating to see. Here is a tumour killing video from the team here at Nexus BioQuest. #research #DrugDiscovery #immunology #cancerbiology #immunotherapy #immunooncology

Just published! In this paper, the delineation of treatment effect from true tumor progression in Glioblastoma multiforme (GBM) remains a challenging task. the use of cerebral blood flow (CBF) as a potential imaging marker holds promise in improving the accuracy of diagnosis and treatment decisions for GBM patients. Further research and validation studies are needed to established the utility of CBF as a reliable marker in the management of Glioblastoma multiforme. https://lnkd.in/dDj57cmg

Innovation at work! Dr. Aneja is applying the same machine learning techniques being used in facial recognition or self-driving cars to images of lung cancers to see if it can help identify the perfect treatment for individual tumors based on what they look like. #LungCancerAwareness