Artificial Intelligence

Artificial intelligence, or AI, is an umbrella term for machine learning and deep learning. It is where a machine takes in information from its surroundings and, from that, makes the most optimal decision appropriate to the situation.

How Artificial Intelligence Is Revolutionizing Emergency Medicine

From triage algorithms to digital twins, artificial intelligence is reshaping emergency care, delivering faster decisions, smarter workflows, and raising vital questions about trust, transparency, and regulation.

Artificial Intelligence and Deep Learning in Medicine

Artificial Intelligence in CBT

Deep-Learning in Radiology

Managing the Explosion of Healthcare Data to Harness its Power

Beyond Virtual Consultations: The Rise of AI-Driven Virtual Healthcare Assistants

Applying Deep Learning to Localization Microscopy

Can Artificial Intelligence be used to Diagnose Brain Aneurysms?

AI Psychosis: How Artificial Intelligence May Trigger Delusions and Paranoia

Uncovering the Mystery of the Human Brain with Computational Neuroscience

What does ChatGPT mean for Healthcare?

Is Data at the Center of Healthcare for the Future?

See more featured articles »

Ethical Considerations in AI-Driven Healthcare

The Pros and Cons of Healthcare Chatbots

Machine Learning in Drug Development

Artificial Intelligence and Life Science

The Medical Industries That Are Most Likely to Be Impacted by Ai

Artificial Intelligence in Histopathology

The Role of AI in Pathogen Detection and Epidemic Prediction

Artificial Intelligence in Cardiology

AI-Powered Genomic Analysis: Revolutionizing the Detection of Genetic Mutations

Recent Developments in Health Technology

Latest Artificial Intelligence News and Research

DNA language model performance hinges on pre-training data choices

Researchers at The University of Texas MD Anderson Cancer Center have performed a comprehensive evaluation of five artificial intelligence (AI) models trained on genomic sequences, known as DNA foundation language models.

3 Dec 2025

AI-assisted liquid biopsies show promise for early cancer detection

The prospect of diagnosing cancer through painless methods—such as a simple AI-assisted blood or urine test that detects tiny particles known as exosomes—is becoming increasingly realistic.

2 Dec 2025

AI-assisted ultrasounds greatly improve detection of congenital heart defects

Doctors in the Raquel and Jaime Gilinski Department of Obstetrics, Gynecology and Reproductive Science at Mount Sinai have become the first in New York City to implement an artificial intelligence (AI) tool that enhances ultrasounds on a large scale-resulting in earlier detection and better care for babies and families.

2 Dec 2025

International collaboration develops STREAMS to standardize microbiome data

Microbiomes, the communities of microorganisms that live in and around us, play a vital role in everything from human health to soil fertility and climate regulation. But studying these tiny life forms, especially outside the human body, presents a major challenge: how do scientists share complex data across such a wide range of environments and disciplines?

2 Dec 2025

New study explores sweat's potential for real-time biomarker monitoring

Sweat contains a wealth of biological information that, with the help of artificial intelligence and next-generation sensors, could transform how we monitor our health and wellbeing, a new study suggests.

1 Dec 2025

Walking speed before hip replacement predicts long-term recovery success

Total hip arthroplasty (hip replacement) is a common treatment for hip osteoarthritis, a degenerative joint disease caused by cartilage in the hip joint wearing down.

1 Dec 2025

Machine learning tool identifies compounds that induce cancer cells into senescence

A new research paper featured on the cover of Volume 17, Issue 11 of Aging-US was published on October 30, 2025, titled "SAMP-Score: a morphology-based machine learning classification method for screening pro-senescence compounds in p16 positive cancer cells."

1 Dec 2025

AI can be a powerful substitute teacher for next generation of medical students

In an increasingly acute surgeon shortage, artificial intelligence could help fill the gap, coaching medical students as they practice surgical techniques.

1 Dec 2025

New consortium aims to fast-track breakthroughs against follicular lymphoma

Follicular lymphoma (FL) is the second most frequent subtype of non-Hodgkin lymphoma, a cancer of the immune system. Although the disease is typically incurable, many cases progress slowly and do not require immediate treatment.

1 Dec 2025

New AI tools offer hope for global TB elimination

Researchers have unveiled new AI tools, from smartphone cough analysis to child-friendly screening systems, which could transform how tuberculosis is detected, monitored and prevented.

1 Dec 2025

Designing better RNA delivery polymers with computational tools

A research team led by professor Olivia Merkel, Chair of Drug Delivery at LMU and co-spokesperson of the Cluster for Nucleic Acid Therapeutics Munich (CNATM) has developed the first integrated platform that combines molecular dynamics (MD) simulations and machine learning (ML) to identify new polymeric materials for therapeutic RNA delivery.

1 Dec 2025