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IT	ITmedia 総合記事一覧	[ITmedia ビジネスオンライン] 外国人に人気が高い東北の観光地　「中尊寺」「銀山温泉」を抑えた1位は？	https://www.itmedia.co.jp/business/articles/2401/13/news018.html	itmedia,インバウンド,オンライン	2024-01-13 07:45:00
海外TECH	Ars Technica	The Space Force is changing the way it thinks about spaceports	https://arstechnica.com/?p=1995665	There s not much available real estate to grow Cape Canaveral s launch capacity	2024-01-12 22:25:04
海外TECH	Engadget	MIT experts develop AI models that can detect pancreatic cancer early	https://www.engadget.com/mit-experts-develop-ai-models-that-can-detect-pancreatic-cancer-early-222505781.html?src=rss	Researchers at MIT s CSAIL division which focuses on computer engineering and AI development built two machine learning algorithms that can detect pancreatic cancer at a higher threshold than current diagnostic standards The two models together formed to create the PRISM neural network It is designed to specifically detect pancreatic ductal adenocarcinoma PDAC the most prevalent form of pancreatic cancer The current standard PDAC screening criteria catches about percent of cases in patients examined by professionals In comparison MIT s PRISM was able to identify PDAC cases percent of the time While using AI in the field of diagnostics is not an entirely new feat MIT s PRISM stands out because of how it was developed The neural network was programmed based on access to diverse sets of real electronic health records from health institutions across the US It was fed the data of over million patient s electronic health records which researchers from the team said surpassed the scale of information fed to an AI model in this particular area of research The model uses routine clinical and lab data to make its predictions and the diversity of the US population is a significant advancement over other PDAC models which are usually confined to specific geographic regions like a few healthcare centers in the US Kai Jia MIT CSAIL PhD senior author of the paper said MIT s PRISM project started over six years ago The motivation behind developing an algorithm that can detect PDAC early has a lot to do with the fact that most patients get diagnosed in the later stages of the cancer s development ーspecifically about eighty percent are diagnosed far too late The AI works by analyzing patient demographics previous diagnoses current and previous medications in care plans and lab results Collectively the model works to predict the probability of cancer by analyzing electronic health record data in tandem with things like a patient s age and certain risk factors evident in their lifestyle Still PRISM is still only able to help diagnose as many patients at the rate the AI can reach the masses At the moment the technology is bound to MIT labs and select patients in the US The logistical challenge of scaling the AI will involve feeding the algorithm more diverse data sets and perhaps even global health profiles to increase accessibility Nonetheless this isn t MIT s first stab at developing an AI model that can predict cancer risk It notably developed a way to train models how to predict the risk of breast cancer among women using mammogram records In that line of research MIT experts confirmed the more diverse the data sets the better the AI gets at diagnosing cancers across diverse races and populations The continued development of AI models that can predict cancer probability will not only improve outcomes for patients if malignancy is identified earlier it will also lessen the workload of overworked medical professionals The market for AI in diagnostics is so ripe for change that it is piquing the interest of big tech commercial companies like IBM which attempted to create an AI program that can detect breast cancer a year in advance This article originally appeared on Engadget at	2024-01-12 22:25:05