Artificial Intelligence in Healthcare and Medicine

Clinical decision support systems, precision health, and data science in medicine are advancing rapidly, with AI playing a significant role. This review explores the advancements, challenges, and opportunities of using AI in medical and health applications, including melanoma detection by deep learning techniques.

Format: Hardback
Length: 286 pages
Publication date: 06 April 2022
Publisher: Taylor & Francis Ltd

The field of clinical decision support systems (CDSS) has experienced significant advancements in recent years, driven by the increasing demand for efficient and accurate healthcare delivery. Precision health, a branch of data science in medicine, has emerged as a powerful tool for personalized healthcare, leveraging big data and advanced analytics to improve patient outcomes.

One of the key developments in CDSS is the integration of artificial intelligence (AI) technologies. AI algorithms can analyze vast amounts of medical data, including patient histories, lab results, and imaging scans, to provide physicians with actionable insights and recommendations. This has the potential to improve diagnostic accuracy, reduce medication errors, and optimize treatment plans.

However, the use of AI in medical and health applications also presents several challenges. One of the main concerns is the potential for bias and discrimination in AI algorithms, as they are trained on large datasets that may contain inherent biases. This can lead to unfair treatment of certain patient groups, such as minorities or low-income individuals.

To address these challenges, it is essential to develop and validate AI algorithms using diverse and representative datasets. Additionally, transparency and accountability in the development and deployment of AI systems are crucial to ensure that they are used in a fair and ethical manner.

Another area of growth in precision health is the use of deep learning techniques for melanoma detection. Deep learning algorithms can analyze images of skin lesions, such as melanomas, with high accuracy and sensitivity. This has the potential to improve early detection rates and reduce the mortality associated with this deadly skin cancer.

In conclusion, the recent developments in CDSS and precision health have the potential to revolutionize healthcare delivery. By integrating AI technologies and leveraging big data and advanced analytics, healthcare providers can provide personalized and effective care to patients. However, it is important to address the challenges associated with AI, such as bias and discrimination, to ensure that these systems are used in a fair and ethical manner.

Dimension: 234 x 156 (mm)
ISBN-13: 9780367619176