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.

AI in Food: How Artificial Intelligence is Designing Healthier and More Sustainable Foods

Artificial intelligence is transforming food innovation by accelerating ingredient discovery, optimizing formulations, and enabling personalized nutrition strategies to improve public health outcomes. AI-driven tools also support food safety assessment, sustainable food systems, and precision nutrition while raising important governance, equity, and validation challenges.

How Artificial Intelligence Is Revolutionizing Emergency Medicine

Applying Deep Learning to Localization Microscopy

Artificial Intelligence in CBT

The Pros and Cons of Healthcare Chatbots

Can Artificial Intelligence be used to Diagnose Brain Aneurysms?

Ethical Considerations in AI-Driven Healthcare

Uncovering the Mystery of the Human Brain with Computational Neuroscience

Artificial Intelligence in Histopathology

Is Data at the Center of Healthcare for the Future?

Deep-Learning in Radiology

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

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Artificial Intelligence and Life Science

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

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

Managing the Explosion of Healthcare Data to Harness its Power

Machine Learning in Drug Development

Artificial Intelligence and Deep Learning in Medicine

Artificial Intelligence in Cardiology

AI Psychosis: How Artificial Intelligence May Trigger Delusions and Paranoia

What does ChatGPT mean for Healthcare?

The Role of AI in Pathogen Detection and Epidemic Prediction

Recent Developments in Health Technology

Latest Artificial Intelligence News and Research

AI scribes save clinicians time but fail to reduce overtime work

While AI scribes reduce documentation time, their effect on after-hours work is minimal, highlighting the need for further studies on clinician productivity.

1 May 2026

How fast your face ages may predict cancer survival outcomes

The study links facial aging rates to cancer outcomes, suggesting a new prognostic tool that could personalize treatment and enhance patient survival.

1 May 2026

AgentClinic puts medical AI through a more realistic diagnostic test

AgentClinic is a multimodal benchmark that tests clinical AI agents in simulated, dialogue-driven diagnostic settings rather than static medical question-answer formats. The study found that model performance varied sharply by tool use, language, bias, image handling, and patient-agent interactions, highlighting the need for more realistic AI evaluation before clinical deployment.

30 Apr 2026

Retrieval-augmented AI improves accuracy in cancer care tools

Artificial intelligence tools like ChatGPT are increasingly being explored in cancer care, but they can sometimes produce outdated or incorrect information. In medicine, where accuracy is critical, that risk is a serious concern.

30 Apr 2026

Strong governance needed before widespread use of medical AI

Flinders University experts are warning that artificial intelligence (AI) must be carefully evaluated and governed before it is adopted widely in healthcare, saying rapid advances do not automatically translate into safe use for patients.

30 Apr 2026

Large language model outperforms human doctors in clinical reasoning tasks

A cutting-edge large language model (LLM) outperformed human doctors in common clinical reasoning tasks including emergency room decisions, identifying likely diagnoses, and choosing next steps in management, according to a new study that used real emergency department data.

30 Apr 2026

T1GRS model enhances prediction of genetic risk for Type 1 diabetes

In people with Type 1 diabetes (T1D), the immune system shuts down the body's ability to make the hormone insulin, responsible for regulating blood sugar and providing cells with glucose to produce energy.

30 Apr 2026

Task switching between organ types increases patient mortality rates

When transplant surgeons switched between different organ types in consecutive surgeries, one-year mortality rates in patients increased by 14.8 percent, according to new Virginia Tech research.

30 Apr 2026

AI and CRISPR technologies drive proactive health monitoring

JMIR Publications today featured two new stories in its News and Perspectives section, highlighting a shift toward proactive, tech-integrated health monitoring.

30 Apr 2026

How multi-omics is changing what scientists can see in the human immune system

Human systems immunology is using multi-omics, single-cell tools, spatial technologies, and AI to decode immune responses across real-world human cohorts. The review highlights major opportunities for biomarker discovery and precision medicine, while stressing the need for rigorous study design, validation, and careful interpretation.

29 Apr 2026

New hybrid molecule uses Trojan horse approach to treat obesity

A team led by metabolism researcher Prof Timo D. Müller at Helmholtz Munich has developed a new approach for treating obesity and type 2 diabetes: a hybrid molecule uses the well-known GLP-1/GIP signalling pathway as a "door opener" and delivers an additional metabolic modulator specifically into the target cells.

29 Apr 2026

Building quality into drug development for safer, faster medicines

Discover how quality-driven drug development and AI accelerate safer medicines, reduce risk, and improve patient outcomes.

From Thermo Fisher Scientific – Pharmaceutical and Biopharmaceutical Solutions 29 Apr 2026

How media choices shape MMR vaccine hesitancy in the US

The study examines how media sources impact MMR vaccine attitudes, revealing a connection between non-mainstream outlets and increased vaccine hesitancy.

29 Apr 2026

AI eye screening shows promise for detecting six metabolic diseases

Researchers developed Reti-Pioneer, an AI retinal imaging framework that screened for six endocrine and metabolic diseases using color fundus photographs and clinical metadata. The system showed moderate-to-strong performance across cohorts, improved specialist decision-making, and demonstrated promising, though still preliminary, potential for faster, scalable disease screening.

29 Apr 2026

Proteomics-driven multi-omics integration transforms understanding of tumor heterogeneity

A recent review shows that proteomics-driven multi-omics integration reveals tumor heterogeneity and functional regulatory networks beyond genomic information, facilitating the discovery of clinically relevant biomarkers and therapeutic targets.

28 Apr 2026

New AI models quickly find compounds that target Lyme bacteria

Tufts University researchers are using AI and machine learning to more quickly identify potential narrow-spectrum antibiotics to prevent and treat Lyme disease, thanks to a generous gift from an alumnus that sped up their timeline by two to three years.

28 Apr 2026

AI tool estimates biological age from photos to predict cancer outcomes

The Mass General Brigham research team behind FaceAge, an artificial intelligence (AI) tool that can estimate a person's biological age from a single photo, is reporting in a new study that estimating biological age from multiple photos taken over time can provide even more information about how well a person with cancer will do with treatment.

28 Apr 2026