Introduction to artificial intelligence in medicine

By Yoav Mintz, Ronit Brodie. MITAT. Minimally invasive therapy & allied technologies, 2019

612 citations recorded by the source corpus.

Abstract The term Artificial Intelligence (AI) was coined by John McCarthy in 1956 during a conference held on this subject. However, the possibility of machines being able to simulate human behavior and actually think was raised earlier by Alan Turing who developed the Turing test in order to differentiate humans from machines. Since then, computational power has grown to the point of instant calculations and the ability evaluate new data, according to previously assessed data, in real time. Today, AI is integrated into our daily lives in many forms, such as personal assistants (Siri, Alexa, Google assistant etc.), automated mass transportation, aviation and computer gaming. More recently, AI has also begun to be incorporated into medicine to improve patient care by speeding up processes and achieving greater accuracy, opening the path to providing better healthcare overall. Radiological images, pathology slides, and patients’ electronic medical records (EMR) are being evaluated by machine learning, aiding in the process of diagnosis and treatment of patients and augmenting physicians’ capabilities. Herein we describe the current status of AI in medicine, the way it is used in the different disciplines and future trends.

Subfields: Artificial Intelligence, Health Informatics, Radiology, Nuclear Medicine and Imaging

View Paper: https://www.semanticscholar.org/paper/0f1c31aa40a7d0b3ba68a6d1ef2bfc92e7f8ae0d

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Zeeshan Ahmed
2. Khalid Mohamed
3. Bing Nie
4. Ali Lalbakhsh
5. Xinqi Dong
6. Ziang Wang
7. Zong-Ming Zhang
8. Ting Wang

In Health Informatics

1. Zeeshan Ahmed
2. Khalid Mohamed
3. Xinqi Dong
4. Zong-Ming Zhang
5. Jie Zhang
6. Saman Zeeshan

In Radiology, Nuclear Medicine and Imaging

1. Zeeshan Ahmed
2. Khalid Mohamed
3. Xinqi Dong
4. Saman Zeeshan

Citations in the corpus

• Overview of artificial intelligence in medicine (2019, neutral): “The “Turing test” was based on the fact that the intelligent behavior of a computer is the ability to achieve human level performance in cognition related tasks.[1] The 1980s and 1990s saw a surge in interest in AI.”
• Ethics and governance of trustworthy medical artificial intelligence (2023, background): “However, most of the current medical AI does not replace human doctors but rather speeds up and helps humans to diagnose [8] with the final decision still coming from humans [9] which is also known as “Augmented Intelligence” [10].”
• Artificial intelligence with multi-functional machine learning platform development for better healthcare and precision medicine (2020, background): “) for accurate diagnosis and effective treatment in different practices (70), e.”
• Artificial Intelligence and COVID-19: Deep Learning Approaches for Diagnosis and Treatment (2020, background): “efforts towards solving the complex issues in a number of fields, including engineering [7]–[9], medicine [10]–[13], economy [14], and psychology [15].”
• ChatGPT and a new academic reality: Artificial Intelligence‐written research papers and the ethics of the large language models in scholarly publishing (2023, background): “Self-learning is a key component of AI, allowing systems to acquire new information and improve their knowledge-based judgments and conclusions through experience and data (Mintz & Brodie, 2019).”