In an era defined by unprecedented advancements in technology, AI stands at the forefront of innovations in healthcare. From diagnosing diseases to personalizing treatment plans, AI is revolutionizing every aspect of the medical field.

We've put together a fully-editable, comprehensive infographic for researchers, healthcare professionals, and anyone with an interest in the future of healthcare.

What is AI in Healthcare?

Artificial intelligence (AI) is a machine’s ability to perform the cognitive functions that we usually associate with human minds. AI's ability to analyze large amounts of clinical data & research documentation allows for smarter, faster, and more efficient care.

AI has been shown to perform as well or better than humans in key healthcare tasks such as:

1. Drug Development
2. Precision Medicine
3. Bioinformatics
4. Diagnostics

Drug Discovery and Development

With a new data-driven machine learning approach, AI is helping biotechnology companies accelerate drug production orders of magnitude beyond what was possible with traditional methods. According to recent statistics, 80% of the causes for attrition were attributed to poor pharmacokinetics (39%), lack of efficacy (30%), and animal toxicity (11%). AI is greatly reducing repeated attrition of drug candidates through AI drug repurposing.

Personalized Medicine

Multi-dimensional AI algorithms that are based on classification and pattern-recognition can take genetic information, unique biomarkers, patient history, images, and data from implanted devices to identify underlying pathologies, predict future disease, and develop personalized therapies and treatment.

Did you know: Using the Rothman Index, Yale-New Haven Health cut the mortality rate of their patients from sepsis by 29%!

Bioinformatics

AI enables researchers to more rapidly process, interpret, and manage large bioinformatics datasets. AI machine learning enhancements can be seen best in a few key areas:

1. Facilitating gene editing experiments
2. Identifying protein structures
3. Spotting genes associated with diseases
4. Traversing the knowledge base in search of meaningful patterns

Did you know: The first human genome cost $3B to sequence, today with AI and technology it costs around $600!

Biomedical Image Analysis

Instead of traditional methods, where image specialists go through multiple steps to review and diagnose patients, AI can reduce the amount of steps for a specialist and lead to quicker diagnoses and processed health outcomes. AI can help with:

1. Detection of disease that can be difficult to see and diagnose with the human eye
2. Obtaining, defining, and categorizing regions of pathology faster
3. Accuracy of diagnosis

 Did you know: An ArterysTM AI tool can diagnose heart problems 120-240x faster than it's human counterparts!

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Full Downloadable Infographic (Long)

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References:

1. Kim, H., Kim, E., Lee, I., Bae, B., Park, M., & Nam, H. (2020). Artificial intelligence in drug discovery: a comprehensive review of data-driven and machine learning approaches. Biotechnology and Bioprocess Engineering, 25, 895-930.
2. Shanehsazzadeh, A., Bachas, S., McPartlon, M., Kasun, G., Sutton, J. M., Steiger, A. K., ... & Meier, J. (2023). Unlocking de novo antibody design with generative artificial intelligence. bioRxiv, 2023-01.
3. Schork, N. J. (2019). Artificial intelligence and personalized medicine. Precision medicine in Cancer therapy, 265-283.
4. Caltech Science Exchange. (2023). https://scienceexchange.caltech.edu/topics/artificial-intelligence-research/artificial-intelligence-experts/ai-science-emami
5. Press, G. (2023). Diagnostic Robotics AI Advances Predictive, Personalized Medicine. Forbes
6. TechTarget. (2023). https://healthitanalytics.com/news/dartmouth-launches-center-for-artificial-intelligence-precision-medicine
7. Park, A. (2022). How AI Is Changing Medical Imaging to Improve Patient Care. Time Magazine
8. Saw, S. N., & Ng, K. H. (2022). Current challenges of implementing artificial intelligence in medical imaging. Physica Medica, 100, 12-17.
9. TechTarget. (2020). https://healthitanalytics.com/features/top-challenges-of-applying-artificial-intelligence-to-medical-imaging
10. Buch, V. H., Ahmed, I., & Maruthappu, M. (2018). Artificial intelligence in medicine: current trends and future possibilities. British Journal of General Practice, 68(668), 143-144.

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