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Foto del escritorManuel Cossio

Icometrix's Impact on Brain Diseases: Insights from 2023 Clinicians


In a recent article published on September 21, 2023, titled "Insights from leading clinicians on digital health technologies in 2023," significant developments in Alzheimer's disease (AD) care took center stage. With Leqembi's market approval in the US and a robust pipeline of AD drugs in development, there is newfound hope for individuals battling this relentless disease. However, crucial challenges related to diagnosis, monitoring, and treatment accessibility continue to persist. Fortunately, digital health technologies are emerging as vital solutions to address these challenges, and they're poised to make a significant impact, as highlighted in the article.


The article featured insights from three prominent clinicians: Dr. Ana Franceschi from the Zucker School of Medicine at Hofstra/Northwell in New York, Dr. Giovanni Frisoni from the University of Geneva in Switzerland, and Dr. Marwan Sabbagh from the Barrow Neurological Institute in Arizona. They shared their perspectives on the pressing challenges in AD care and the potential role of digital health technologies in transforming the landscape.


The Need for Timely Diagnosis and Access to Care


One of the primary challenges identified in the article is the urgency of timely diagnosis for AD patients who could benefit from disease-modifying treatments (DMTs). Dr. Sabbagh emphasized the need for neurologists to establish new workflows for identifying suitable candidates for anti-amyloid monoclonal antibody (mAB) treatment—a paradigm shift in AD care. Dr. Frisoni added that ensuring fair and accessible treatment for all patients with AD poses a significant challenge.


The clinicians recognized the potential of digital health technologies to revolutionize the care pathway. Dr. Frisoni highlighted the role of digital solutions in optimizing cognitive assessments, enhancing imaging markers' interpretation, and facilitating ARIA screening. The integration of artificial intelligence (AI) in neuroimaging holds the promise of streamlining workflows, improving diagnostic accuracy, and identifying early disease markers—ultimately ensuring timely care for AD patients.


Dr. Sabbagh underscored the urgency of implementing these changes, emphasizing the need to transform the diagnostic-to-therapeutic pathway swiftly to provide optimal care as soon as possible.


Dealing with Increased Numbers of Scans


The article also drew attention to the logistical challenges arising from the approval of AD drugs, particularly in neuroimaging. Dr. Franceschi expressed concerns about the growing demand for MRI and PET scans, used for safety monitoring, amyloid burden detection, risk stratification, and neurodegeneration assessment. As the population ages, the need for AD screening is expected to surge, placing additional strain on healthcare systems.


Digital technology emerged as a promising solution in this context. Dr. Frisoni proposed that digital tools could expedite and refine ARIA assessments while improving the interpretation of imaging results. Dr. Franceschi highlighted the potential of computer-aided detection of ARIA, AI-related MRI brain quantification, and PET analysis. These technologies have the potential to assist both novice and experienced readers, fostering confidence and precision in diagnostic processes.



Image property of Icometrix.com

ARIA Detection

Reliable and objective ARIA detection was identified as a critical concern by all three experts in the article. ARIA side effects can be subtle and challenging to identify, as Dr. Frisoni noted. Accurate ARIA reading is essential for the safe use of mABs, and AI technology was seen as a valuable tool to enhance clinical assessments.


Dr. Franceschi emphasized how AI technology can bridge the expertise gap between experienced and novice readers. Dr. Sabbagh stressed the importance of ARIA-E (edema) detection, which is often missed without software assistance. He believed that an AI tool capable of assessing the severity of ARIA could significantly enhance clinical decision-making. Moreover, AI tools for ARIA detection were recognized for their potential to reduce the workload on clinicians and should be seamlessly integrated into the clinical workflow.

In summary, the article dated September 21, 2023, marks a pivotal moment in AD care, with the approval of disease-modifying treatments offering new hope. However, it also shines a light on the formidable challenges faced by clinicians. The article underscores the promising potential of digital health technologies, such as those offered by Icometrix, to address these challenges. By streamlining diagnosis, enhancing imaging assessments, and improving ARIA detection, these technologies hold the promise of delivering more timely and accurate care to AD patients, bringing us closer to a future where Alzheimer's is a manageable chronic condition.

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