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.

Deep-Learning in Radiology

The Role of AI in Pathogen Detection and Epidemic Prediction

Ethical Considerations in AI-Driven Healthcare

Machine Learning in Drug Development

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

Is Data at the Center of Healthcare for the Future?

Artificial Intelligence in Cardiology

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

Artificial Intelligence and Deep Learning in Medicine

Uncovering the Mystery of the Human Brain with Computational Neuroscience

Applying Deep Learning to Localization Microscopy

See more featured articles »

Artificial Intelligence in Histopathology

Artificial Intelligence and Life Science

Artificial Intelligence in CBT

AI Psychosis: How Artificial Intelligence May Trigger Delusions and Paranoia

Recent Developments in Health Technology

The Pros and Cons of Healthcare Chatbots

What does ChatGPT mean for Healthcare?

Can Artificial Intelligence be used to Diagnose Brain Aneurysms?

Managing the Explosion of Healthcare Data to Harness its Power

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

Latest Artificial Intelligence News and Research

New genetic test can help predict how people will respond to weight-loss medications

Mayo Clinic researchers have developed a genetic test that can help predict how people will respond to weight loss medications such as GLP-1s.

17 Sep 2025

CRISPR-based tongue swab test shows promise for tuberculosis detection

Tulane University researchers have developed an enhanced CRISPR-based tuberculosis test that works with a simple tongue swab, a potential breakthrough that could allow easier, community-based screenings for the world's deadliest infectious disease.

17 Sep 2025

Artificial intelligence transforms lumbar spine modeling for faster patient care

Nearly 3 in 10 adults in the United States have experienced lower back pain in any three-month period, making it the most common musculoskeletal pain.

17 Sep 2025

New AI model predicts surgical complications more accurately than current scores

A new artificial intelligence model found previously undetected signals in routine heart tests that strongly predict which patients will suffer potentially deadly complications after surgery.

17 Sep 2025

Wearable sensors track early signs of hormone-linked pregnancy changes

Research shows wearable sensors can track pregnancy hormones, offering insights into maternal health and early detection of complications during pregnancy.

17 Sep 2025

Deep learning algorithm uses mammograms and age for heart disease prediction

A new machine learning model developed by The George Institute for Global Health can successfully predict heart disease risk in women by analyzing mammograms. The findings were published today in Heart, the official journal of the British Cardiovascular Society.

17 Sep 2025

CRISPR-GPT helps scientists to generate designs, analyze data and troubleshoot design flaws

Stanford Medicine researchers have developed an artificial intelligence tool to help scientists better plan gene-editing experiments.

16 Sep 2025

AI breakthrough offers a new way to predict and visualize disease processes

To solve a problem, we have to see it clearly. Whether it's an infection by a novel virus or memory-stealing plaques forming in the brains of Alzheimer's patients, visualizing disease processes in the body is the first step toward alleviating human suffering. It's also often the most difficult and costly.

16 Sep 2025

Deep learning tool improves accuracy of lung nodule malignancy detection

An artificial intelligence (AI) deep learning tool that estimates the malignancy risk of lung nodules achieved high cancer detection rates while significantly reducing false-positive results.

16 Sep 2025

Artificial intelligence detects mild depression through micro-movements in facial muscles

Depression is one of the most common mental health challenges, but its early signs are often overlooked. It is often linked to reduced facial expressivity. However, whether mild depression or subthreshold depression (StD) (a mild state of depressive symptoms that does not meet the criteria for diagnosis but is a risk factor for developing depression) is associated with changes in facial expressions remains unknown.

16 Sep 2025

AlphaFold3 predicts bitter taste receptor structures with greater accuracy

Receptor proteins, expressed on the cell surface or within the cell, bind to different signaling molecules, known as ligands, initiating cellular responses.

16 Sep 2025

Stem cell therapy shows promise for repairing brain damage after stroke

When someone has a stroke - a leading worldwide cause of death and disability - time is of the essence. Almost nine out of 10 cases are ischemic strokes, caused by restricted blood flow in the brain, and the current gold-standard treatment that breaks up blood clots must be delivered within four and a half hours of symptoms appearing.

16 Sep 2025

Machine learning models can predict urgent care needs for patients with non–small cell lung cancer

A new study published in JCO Clinical Cancer Informatics demonstrates that machine learning models incorporating patient-reported outcomes and wearable sensor data can predict which patients with non–small cell lung cancer are most at risk of needing urgent care during treatment.

16 Sep 2025

Inside the lab of the future: Automation, NMR, and the power of integration

Discover how Bruker is changing the future of labs and NMR through its R&D efforts.

From Bruker BioSpin - NMR, EPR and Imaging 16 Sep 2025

AI can predict which patients need treatment to preserve their eyesight

Researchers have successfully used artificial intelligence (AI) to predict which patients need treatment to stabilize their corneas and preserve their eyesight, in a study presented today (Sunday) at the 43rd Congress of the European Society of Cataract and Refractive Surgeons (ESCRS).

15 Sep 2025