リラックスした時にゆっくり聞き流すことをおすすめします。はじめは英語と日本語で今回のテーマを届けます。 その後は、単語やフレーズを解説しながら、インプットをアウトプットに変えていけるよう、英語で考えましょう。

Years of medical training are required to correctly diagnose diseases. Yet, diagnostics can be a lengthy and time-consuming process. The demand for specialists in many sectors greatly outnumbers the available supply. This puts doctors under a lot of pressure, and it frequently causes diagnosis that could save lives to be delayed.


Machine Learning algorithms, particularly Deep Learning algorithms, have lately made significant improvements in autonomously detecting illnesses, lowering the cost and increasing the accessibility of diagnostics.

機械学習アルゴリズム、特にDeep Learningアルゴリズムは近年、自動的に病気を検出し、コストを下げ、診断のアクセスをあげることで大きな進歩を遂げています。

The use of Machine Learning in diagnostics is still in its early stages; more advanced systems combine numerous data sources such as data from CT and MRI to diagnose a disease or its development.


It is doubtful that AI will completely replace physicians. Instead, AI technologies will be utilized to flag possible tumors or hazardous cardiac patterns for the specialists, freeing up the doctor’s time to focus on the interpretation of the signs.


Discussion Topic:

Do you usually check your symptoms before going to a hospital?


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