生命科學中AI的認知度

本報告提供生命科學中AI的認知度的相關調查，生命科學市場概要，以及AI概要，生命科學的工作流程，對引進的促進因素與阻礙因素等。

目錄

第1章 調查概要與目的

第2章 摘要整理

第3章 人口動態

第4章 對AI的整體認知度

第5章 生命科學中AI的認知度

第6章 活用了AI的目前工作流程

第7章 AI解決方案的商用供應商

第8章 引進的促進因素與阻礙因素

第9章 調查手法

第10章 諮詢

We've Talked to Over 400 Life Scientists About Artificial Intelligence in the Life Sciences. This report has the Results.

What is the future of life science AI? How important will AI be to the work life of scientists? What purpose will life science intelligence serve? What comes to mind when scientists think about AI? What is their level of trust in AI-based systems? What brands do they trust?

This report, from BioInformatics (part of Science and Medicine Group) interviewed life science AI users, future users, and skeptics to answer these questions, and provide a whole sense of the opinion of AI in life sciences. Academic life scientists and those in the pharma and biopharma fields were surveyed for this report. The report reflects the most current opinion on AI in life sciences.

For those who are current users of life science AI - what do they like about it? For those who are non-users or even skeptics - what's keeping them from using your product or AI-based enhancement? This is essential information for life science instrument companies and those developing technologies in the life science space. If you have resources or surveys broadly of AI users but have not conducted a life-science specific survey, this report is an essential tool.

This report will provide readers with:

• General sentiment towards AI in the life science marketplace.

• Applications in which AI is most used and where scientists see a need for AI.

• Barriers and motivators to adoption of AI into workflows.

• Who scientists think are leading in life science AI among key organizations and brands developing AI or actively employing AI in their workflows.

BioInformatics designed an online quantitative survey to address the objectives.

The survey this report was based on was fielded to n=411 respondents, primarily members of the Science Advisory Board (SAB) - a segment of the scientific community with a demonstrated willingness to participate in market research activities.

Table of Contents

01. Study Overview and Objectives

02. Executive Summary

03. Demographics

04. Overall Perceptions of AI

05. Perceptions of AI in the Life Sciences

06. Current Workflows Using AI

07. Commercial Providers of AI Solutions

08. Motivators and Barriers to Adoption

09. Methodology

10. About Us