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.

Is Data at the Center of Healthcare for the Future?

Ethical Considerations in AI-Driven Healthcare

Applying Deep Learning to Localization Microscopy

Uncovering the Mystery of the Human Brain with Computational Neuroscience

Artificial Intelligence in Histopathology

The Pros and Cons of Healthcare Chatbots

Recent Developments in Health Technology

What does ChatGPT mean for Healthcare?

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

Can Artificial Intelligence be used to Diagnose Brain Aneurysms?

Artificial Intelligence and Life Science

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

Artificial Intelligence and Deep Learning in Medicine

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

The Role of AI in Pathogen Detection and Epidemic Prediction

Artificial Intelligence in Cardiology

Deep-Learning in Radiology

Managing the Explosion of Healthcare Data to Harness its Power

Artificial Intelligence in CBT

Machine Learning in Drug Development

AI Psychosis: How Artificial Intelligence May Trigger Delusions and Paranoia

Latest Artificial Intelligence News and Research

New index provides state-level vulnerability to influenza-like illness

Infectious disease can afflict a population in complex ways. Understanding the varying risks is an equally complex challenge.

9 Mar 2026

Machine learning model predicts chemical reactions to accelerate drug discovery

Drug discovery is like molecular Tetris. Chemists snap atoms together, adjusting the pieces until everything fits and suddenly, a molecule makes a promising new medicine.

9 Mar 2026

AI model flags hidden breast cancers years before diagnosis in routine mammograms

Researchers evaluated four deep learning models using over 112,000 negative screening mammograms from the UK NHS to determine how well artificial intelligence could predict future breast cancers missed during routine screening. The MIT-developed Mirai model performed best, identifying about 27.5% of interval cancers within the top 4% of women flagged as highest risk.

9 Mar 2026

Microbial ecosystems influence success of cancer checkpoint immunotherapy

Immune checkpoint inhibitors targeting PD-1 and PD-L1 have revolutionized cancer therapy, delivering long-term survival benefits in several malignancies.

9 Mar 2026

Preventing postoperative rebleeding in intracerebral hemorrhage surgery

Intracerebral hemorrhage (ICH) is the stroke subtype with the highest mortality and disability rates, and early hematoma evacuation is crucial for improving prognosis.

9 Mar 2026

Redefining the "aging brain" through diverse data

Age is more than just one number. While neuroscientists used to think of cognitive aging as a single trendline, they now realize that vast individual differences require a more predictive and personalized approach. As they uncover more factors that affect cognition over time, they are realizing that modeling the aging brain requires more diverse data than traditionally captured.

9 Mar 2026

Navigating the structural challenges of AI in radiology

Artificial intelligence (AI) has the potential to redefine how radiology is practiced, as well as highlight specific challenges for radiology departments, according to new research from the Journal of the American College of Radiology (JACR).

9 Mar 2026

Can one AI analyze all medical scans? MedVersa shows promise across multiple imaging tasks

esearchers developed MedVersa, a generalist multimodal AI model trained on tens of millions of medical imaging instances to perform diverse radiology tasks within a single framework. The model matched or exceeded specialist AI systems across several benchmarks and produced radiology reports comparable to human reports in many cases while improving reporting efficiency.

8 Mar 2026

Ketone body can strengthen the fitness and antitumor activity of CAR T cells

A naturally occurring byproduct of liver metabolism–the ketone body, β-hydroxybutyrate (BHB)–can strengthen the fitness and antitumor activity of CAR T cells.

6 Mar 2026

Biomimetic smart insole system enables accurate gait monitoring

With the increasing aging population, high incidence of chronic diseases, and the growing number of congenital or acquired foot deformities, lower limb dysfunction and abnormal gait problems are becoming increasingly common, posing a significant threat to public health and quality of life.

6 Mar 2026

Learning strengthens coordination among sensory neurons in the brain

When you get better at a skill-recognizing a familiar face in a crowd, spotting a typo at a glance, or anticipating the next move in a game-sensory neurons in your brain become more coordinated, sharing information rather than acting more independently.

6 Mar 2026

New study shows the brain reactivates memories without reaching conscious thought

Researchers have used brain imaging to show how memories can be reactivated in the brain without them reaching conscious awareness, showing that these memories persist even when we think they have been forgotten.

6 Mar 2026

Machine learning detects early brain changes linked to Alzheimer's disease

Worcester Polytechnic Institute (WPI) researchers have used a form of artificial intelligence (AI) to analyze anatomical changes in the brain and predict Alzheimer's disease with nearly 93% accuracy.

5 Mar 2026

AI trained on 9 trillion DNA letters predicts harmful mutations and designs new genomes

Scientists developed Evo 2, a large biological foundation model trained on about 9 trillion DNA base pairs that can analyse genomic sequences across bacteria, plants, and humans. The model predicts functional effects of genetic variants and can generate genome-scale DNA sequences, enabling new approaches to studying and designing biological systems.

5 Mar 2026

Distinct spatial tumor–immune ecosystems predict lung cancer treatment response

Researchers at Moffitt Cancer Center have identified distinct spatial tumor–immune ecosystems that predict whether patients with advanced non–small cell lung cancer will benefit from immunotherapy.

5 Mar 2026

Detecting major neurological disorders via saliva

A team of Korean researchers has, for the first time in the world, developed a technology capable of enabling early diagnosis of major neurological disorders, including epilepsy, Parkinson's disease, and schizophrenia, using only a small amount of saliva.

5 Mar 2026

Tailoring digital safety to the child’s developmental stage

The use of generative artificial intelligence (AI), able to produce text, images and video on demand, has grown exponentially in recent years. While its applications for personal and professional use continue to expand, many have questions about how children might be interacting with this technology.

5 Mar 2026

AI pinpoints why vaccine responses vary globally

How people with compromised immune systems respond to vaccines is an important area of immunological research. A new study led by York University found that not only could machine-learning models accurately pinpoint differences in healthy controls and those living with HIV, but also found outliers in both groups that provide fascinating glimpses into the complex nature of the immune system and what personalized medicine could look like in the future, accounting for variables such as age, comorbidities and genetics.

4 Mar 2026

New fragmentome technology can detect early liver fibrosis and cirrhosis

Researchers at the Johns Hopkins Kimmel Cancer Center report that an artificial intelligence (AI)-based liquid biopsy test using genome-wide cell-free DNA (cfDNA) fragmentation patterns and repeat landscapes can detect early liver fibrosis and cirrhosis, and may also reveal signals of broader chronic disease burden.

4 Mar 2026

Researchers develop versatile machine learning tool to automate complex clinical diagnostics

A research team funded by the National Institutes of Health (NIH) has developed a versatile machine learning model that could one day greatly expand what medical scans can tell us about disease.

4 Mar 2026