Representative Director and President Accurate DxPassionate about personalizing healthcare through AI-powered pathology.
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The concept of ‘who gets what cancer treatment’ sounds like a movie plot or a decades-old question, but unfortunately, even in 2022, it’s still faced every day around the world. It’s a dilemma. Although the underlying causes, detection and treatment options vary among specific types of cancer, the central role of pathology is to determine the proper diagnosis of cancer to determine subsequent management and treatment options. and characterization. The problem is that anatomic pathology, a widely used technique for cancer diagnosis, is inherently subjective, with variability in both accuracy and reproducibility. With the promise of greater accuracy and reproducibility, scientists and commercial organizations are applying artificial intelligence (AI) platforms to see tens of thousands of features in tissue and analyze every cell on a slide. guarantees reliable results.
Standardization can save lives.
With an estimated 18.1 million cancer cases worldwide in 2020, there is no completely objective and accurate way to determine cancer malignancy. Because cancer malignancy relies on human interpretation of cells under the microscope. In short, pathology so far has been largely subjective.
For example, patients with slow-growing tumors may be overestimated as having more severe and advanced cancer, leading to unnecessary procedures, chemotherapy, or radiotherapy. Conversely, if the morphological features of the tumor are considered less aggressive by pathologists, patients may be underestimated and not provided with the appropriate, potentially life-saving treatment they need.
AI is already being adopted and is having a positive impact on radiology and patient monitoring. Recently, several organizations have emerged that combine industry knowledge and medical science expertise with cutting-edge computer science and engineering. These include PathAI, Paige, Ibex, and my own company, his PreciseDx.
This issue is most important in resource-constrained regions.
Although subjectivity in pathology is a universal problem, this issue becomes more important in resource-constrained regions. For example, African countries are some of the countries with the greatest shortage of pathologists in the world. As of 2016, Dark Daily said: In Botswana, he has only three pathologists serving 2.1 million people. Mexico has an estimated 1,800 pathologists for its 131 million citizens. From 2007 to 2017, he said, the number of health care providers has fallen by nearly 18%, and even the United States is no stranger to a shortage of qualified pathologists.
This impressive data leads us to the question of how limited (or total lack) access to pathologists affects care and what can be done about it. lead. By adopting and adopting AI tools, pathologists will benefit from increased efficiency and participation in the leadership of quality care in other parts of the world.
Get the best possible results by connecting patients to personalized care. The first step in determining the best treatment is the ability to accurately and objectively assess the risk of disease progression, metastasis, or death. The ability to determine this risk using AI-enabled algorithms will begin the process of advancing healthcare in all regions of the world, including the United States, without the need to access local qualified pathologists.
In resource-constrained regions, AI-enhanced pathology algorithms are applied to handle pathologist absences and accurately determine which patients are more important than others. Access experts remotely through telepathology to review and analyze pathology slides, combined with AI-enabled risk assessment, to provide the information you need to make better treatment decisions. Without access to such professionals, local health care providers are often forced to make unsupported decisions about who has access to the limited treatment options they can offer.
These healthcare providers are entitled to access the support tools they need to optimize the distribution of care across patient populations.
Technology can open up access to care around the world.
Technology, especially the digitization of slides and the use of AI, can make pathology and pathology insights accessible to nearly everyone. AI has been adopted in many aspects of healthcare, and in the last five years several new technologies have been introduced specifically to assist pathologists and oncologists. These new technologies include Philips Oncology Solutions, Leica His Biosystems Histology Solutions, and Hamamatsu Photonics Detection and Monitoring Solutions.
Although AI is still in its early stages, it can be trained to “data mine” millions of data points to identify and quantify key morphological and cellular characteristics by cancer type. increase. These techniques have been applied using whole-slide imaging (WSI) so that not only sampling from the slide but all cells on the slide are observed. This creates a much more statistically robust data set, allowing AI to display results in both absolute and percentile format. Access to this data and the resulting information-rich analysis has the potential to support pathology and oncology in new and exciting ways by providing highly accurate and objective patient-specific guidance. I’m here.
The potential is improved care for all. This is not something that can be fixed quickly. However, resource-constrained regions can take full advantage of this new technology by installing the necessary tools and training technicians to handle tissue for scanners.
Members of the healthcare industry should pay close attention to published publications and, along with their colleagues, be early adopters of processes in which artificial intelligence can improve outcomes and increase efficiency.
To take full advantage of this process, the industry will need to build a network with the bandwidth to transmit large images and image-based annotated results to fully leverage and integrate the power of artificial intelligence in healthcare. You have to adopt the infrastructure.
Technology makes geographic location less important when it comes to quality of care. Internet connectivity can open up access to new levels of precision and standardization in pathology for everyone. Incorporation has great potential to support highly individualized care and better patient outcomes.
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