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.

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

The Pros and Cons of Healthcare Chatbots

Artificial Intelligence in Cardiology

Can Artificial Intelligence be used to Diagnose Brain Aneurysms?

Artificial Intelligence and Life Science

Deep-Learning in Radiology

Ethical Considerations in AI-Driven Healthcare

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

What does ChatGPT mean for Healthcare?

The Role of AI in Pathogen Detection and Epidemic Prediction

Artificial Intelligence in CBT

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Artificial Intelligence and Deep Learning in Medicine

Uncovering the Mystery of the Human Brain with Computational Neuroscience

Managing the Explosion of Healthcare Data to Harness its Power

Recent Developments in Health Technology

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

Artificial Intelligence in Histopathology

AI Psychosis: How Artificial Intelligence May Trigger Delusions and Paranoia

Applying Deep Learning to Localization Microscopy

Machine Learning in Drug Development

Is Data at the Center of Healthcare for the Future?

Latest Artificial Intelligence News and Research

Synthace collaborates with Charles River to offer the global pharma industry more robust, faster and cost-effective assays

Synthace, the leader in software and services for assay development, today announced a collaboration with Charles River Laboratories International, Inc. (Charles River), a leading global drug discovery, development, testing, and manufacturing solutions provider.

9 Feb 2026

AI model accelerates antibody production and clone selection

As instigators of immunity, monoclonal antibodies are marvels of modern medicine, lab-made proteins that can treat cancers, autoimmune diseases, and many other conditions.

9 Feb 2026

Medical AI can repeat false claims in clinical contexts

Medical artificial intelligence (AI) is often described as a way to make patient care safer by helping clinicians manage information. A new study by the Icahn School of Medicine at Mount Sinai and collaborators confronts a critical vulnerability: when a medical lie enters the system, can AI pass it on as if it were true?

9 Feb 2026

AI-powered tool automatically segments human brainstem white matter bundles

Small and dense but filled with vitally important neural fibers, the brainstem has been hard for brain imaging technologies to dissect.

9 Feb 2026

Soft bioelectronic systems for personal health monitoring

Announcing a new article publication for BIO Integration journal. Soft and sustainable wearable bioelectronics are emerging as key platforms for personal health monitoring and digital healthcare.

9 Feb 2026

AI stethoscope doubles detection of serious valve disease in primary care study

A prospective primary care study found that an AI-enabled digital stethoscope substantially improved sensitivity for detecting clinically significant valvular heart disease compared with standard auscultation. The technology identified more previously undiagnosed moderate-to-severe disease but showed reduced specificity, highlighting a trade-off between earlier detection and potential false positives.

8 Feb 2026

AI system reads brain MRIs with high diagnostic accuracy

An AI-powered model developed at University of Michigan can read a brain MRI and diagnose a person in seconds, a study suggests.

6 Feb 2026

Building flexible governance for biological data powering AI systems

In a Policy Forum, Doni Bloomfield and colleagues discuss the need for expanded – yet tailored and flexible – governance for the biological data used to develop powerful artificial intelligence (AI) models.

6 Feb 2026

AI predicts blood transfusion needs for trauma patients before hospital arrival

Severe bleeding is one of the most common and preventable causes of death after traumatic injury, yet currently available tools have poor ability to determine which patients urgently need blood transfusions.

6 Feb 2026

Artificial intelligence enables faster detection of substance use disorder

Diagnosing substance-use disorder can be difficult because of patient denial related to the stigma attached to addiction.

5 Feb 2026

Smartwatch data may help detect opioid misuse risk

Opioid overdoses continue to take a devastating toll across the United States. According to the U.S. Centers for Disease Control and Prevention (CDC), in 2023, the nation recorded roughly 105,000 drug overdose deaths overall, with nearly 80,000 deaths involving opioids.

5 Feb 2026

AI-enabled stethoscope doubles detection of valvular heart disease

New research shows that the use of an AI-enabled digital stethoscope more than doubled the identification of moderate to severe valvular heart disease during routine clinical examinations, compared to a traditional stethoscope.

5 Feb 2026

AI foundation model advances comprehensive brain MRI analysis

Mass General Brigham investigators have developed a robust new artificial intelligence (AI) foundation model that is capable of analyzing brain MRI datasets to perform numerous medical tasks, including identifying brain age, predicting dementia risk, detecting brain tumor mutations and predicting brain cancer survival.

5 Feb 2026

Newsom walks thin line on immigrant health as he eyes presidential bid

California Gov. Gavin Newsom, who is eyeing a presidential bid, has incensed both Democrats and Republicans over immigrant health care in his home state, underscoring the delicate political path ahead.

5 Feb 2026

Brain computer interfaces decode imagined speech in paralyzed patients

Last summer, a team of researchers reported using a brain-computer interface to detect words people with paralysis imagined saying, even without them physically attempting to speak.

4 Feb 2026

Study identifies brain region driving one-shot visual learning

Despite decades of research, the mechanisms behind fast flashes of insight that change how a person perceives their world, termed "one-shot learning," have remained unknown.

4 Feb 2026

Advancing brain microphysiological systems for in vitro neurotoxicity and cognitive function testing

Brain microphysiological systems are reshaping in vitro neurotoxicity testing through functional validation and advanced disease modeling.

From Yokogawa Life Science 3 Feb 2026

Contextual errors limit real-world performance of medical AI

Medical artificial intelligence is a hugely appealing concept. In theory, models can analyze vast amounts of information, recognize subtle patterns in data, and are never too tired or busy to provide a response.

3 Feb 2026

How conflicting MIC breakpoints distort antimicrobial resistance data

The review emphasizes that differing CLSI and EUCAST breakpoints complicate AMR tracking, calling for standardized criteria to enhance global health security.

3 Feb 2026

New liquid biopsy detects early cancers through epigenetic instability

Researchers at the Johns Hopkins Kimmel Cancer Center have developed a novel liquid biopsy approach to identify early-stage cancers by measuring the random variation in DNA methylation patterns, rather than the absolute level of those patterns as in other liquid biopsies.

2 Feb 2026