医师调查：肿瘤科医师认为人工智慧将塑造癌症治疗的未来

人工智慧可以比人类更快、更准确地分析医学影像，加速检测和诊断，帮助推进癌症治疗。此外，由于准确度更高，人工智慧可以最大限度地减少误诊。透过分析基因组资料，人工智慧可以预测治疗结果，帮助实现癌症治疗的个人化。

透过持续提升模式辨识能力，深度学习可以更准确地区分恶性肿瘤和良性肿瘤，进一步增强癌症检测。

本报告调查了美国和五个欧洲国家（法国、德国、义大利、西班牙和英国）的192名肿瘤医学专家，以评估人工智慧演算法在癌症诊断和治疗计划中的应用程度（目前和未来）。

报告内容

• 人工智慧在影像分析中的应用可以改善各种类型癌症的检测和分类。目前，人工智慧软体在多大程度上用于解读癌症诊断影像？
• 在多大程度上同意五年后，利用人工智慧影像分析诊断患者癌症的速度将显着提高？
• 深度学习人工智慧可以预测疾病进展。在规划患者的治疗方案时，目前在多大程度上使用深度学习 AI 来估计患者特定的风险因素？
• AI演算法也可以应用于基因组测试，以识别对抗癌药物的遗传易感性。目前在多大程度上使用基于人工智慧的临床决策支援工具为患者制定个人化的治疗方案？
• 在多大程度上同意人工智慧将在未来五年内彻底改变病患照护计画？

The backstory

Helping to advance cancer treatment, AI speeds up detection and diagnosis by analysing medical images faster and with more precision than can be done by humans. In addition, its greater accuracy allows AI to minimise false-positive diagnoses. Through the analysis of genomic data, AI helps personalise oncology care by predicting treatment response.

Deep learning further enhances cancer detection by continuously improving its pattern recognition capabilities, which allows it to more precisely distinguish malignant tumours from benign ones.

The physician view

FirstWord polled 192 oncologists based in the US and EUR5 (France, Germany, Italy, Spain and the UK) to assess current and future adoption levels of AI algorithms in cancer diagnosis and treatment planning.

Key Questions Answered:

• 1. AI can be applied to image analysis to improve detection and classification of different types of cancer. How often do you currently use AI software to help with interpreting images for cancer diagnosis?
• 2. Thinking ahead, how much do you agree that AI-based image analysis will significantly improve the speed of cancer diagnosis for your patients in five years' time?
• 3. Deep learning AI can predict disease progression. To what extent are you currently utilising deep learning AI to estimate patient-specific risk factors when planning treatment programmes for your patients?
• 4. AI algorithms can also be applied to genomic testing to identify genetic anticancer drug susceptibility. To what extent are you currently using AI-based clinical decision support tools to develop personalised treatment plans for your patients?
• 5. To what extent do you agree that AI will revolutionise treatment planning for your patients over the next five years?

Methodology

Dossier reports are developed from independent and concise analysis derived from original industry surveys and in-depth interviews with industry thought leaders. Reports analyse in detail significant developments and market trends that pharma executives need to understand if they are to manage the opportunities and challenges that lie ahead. The focus of each report is defined by a review of the secondary literature and any knowledge gaps identified. Based on this initial research, an evidence-based and expert-informed discussion guide is developed to ensure the research answers the most critical questions. Additionally, robust screening criteria are established to ensure that those interviewed are qualified in terms of their experience, knowledge and stature to speak on the topic.

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FirstWord Reports, a trusted industry leader with an exclusive focus on the pharmaceutical sector, delivers in-depth, actionable insights for biopharma professionals and decision-makers. Our deep industry knowledge enables us to provide relevant and valuable insights that help you identify emerging trends and navigate complex challenges effectively. Backed by extensive research and independent, impartial insights from leading experts and KOLs, our reports deliver the accuracy and reliability you need. With exclusive access to interviews and data unavailable elsewhere, along with ongoing market monitoring, we give you a comprehensive view of market dynamics. Covering over 40 dynamic disease areas and providing physician intelligence, including KOL insights and quantitative physician surveys, as well as industry expert views on issues in medical affairs, digital health, sales & marketing, market access, and other areas, our reports empower you to make smarter, data-driven decisions and maintain a competitive edge in a fast-moving industry.