AI for Medicine

11 Posts

Early Detection for Pancreatic Cancer: A neural network shows remarkable accuracy in forecasting risk of pancreatic cancer.
AI for Medicine

Early Detection for Pancreatic Cancer: A neural network shows remarkable accuracy in forecasting risk of pancreatic cancer.

A neural network detected early signs of pancreatic cancer more effectively than doctors who used the usual risk-assessment criteria. Researchers at MIT and oncologists at Beth Israel Medical Center in Boston...
Deep Learning Discovers Antibiotics: Researchers used neural networks to find a new class of antibiotics.
AI for Medicine

Deep Learning Discovers Antibiotics: Researchers used neural networks to find a new class of antibiotics.

Biologists used neural networks to find a new class of antibiotics. Researchers at MIT and Harvard trained models to screen chemical compounds for those that kill methicillin-resistant Staphylococcus aureus (MRSA), the deadliest among bacteria that have...
Sharper Vision for Cancer: An AI-powered microscope that helps pathologists detect cancer
AI for Medicine

Sharper Vision for Cancer: An AI-powered microscope that helps pathologists detect cancer

A microscope enhanced with augmented reality is helping pathologists recognize cancerous tissue. The United States Department of Defense is using microscopes that use machine learning models based on research from Google to detect cancers.
Chart showing the number of AI/ML devices approved by FDA by year from 2012 to 2023
AI for Medicine

Doctors Wary of Medical AI Devices: U.S. regulatory system criticized for approving AI medical devices without transparency.

The United States’ regulatory regime may not be clear or flexible enough to ensure the safety of AI-powered medical devices. Physicians and other health professionals believe that U.S. regulators have approved AI-powered medical products without proper oversight or disclosure.
The Language of Schizophrenia: LLMs can play a valuable role in diagnosing schizophrenia, study finds.
AI for Medicine

The Language of Schizophrenia: LLMs can play a valuable role in diagnosing schizophrenia, study finds.

Large language models may help psychiatrists resolve unanswered questions about mental illness. Researchers from University College London, Beijing Normal University, and Lisbon’s Champalimaud Centre for the Unknown used a large language model to...
Rigorous Trial: AI matches humans in breast cancer diagnosis.
AI for Medicine

Rigorous Trial: AI matches humans in breast cancer diagnosis.

A deep learning system detected breast cancer in mammograms as well as experienced radiologists, according to a landmark study.
Eric Topol illustration
AI for Medicine

A Visionary Doctor Prescribes AI: Dr. Eric Topol makes the case for AI in medicine.

Eric Topol is one of the world’s leading advocates for AI in medicine. Below he shares his insights into the fusion of AI and medicine and advice for machine learning engineers who want to get involved.
Illustration of doctor seeing a patient
AI for Medicine

Diagnosis — The Telltale Heart: How a company is using AI to monitor hearth health

The wearable revolution is helping doctors figure out what’s troubling your ticker — thanks to deep learning. The problem: Arrhythmias, a range of conditions in which the heart beats too fast, too slow, or erratically, can cause heart attack or stroke.
Illustration of a patient in a hospital bed
AI for Medicine

Prognosis — Early Warning for Sepsis: AI can provide an early warning for sepsis.

An AI-driven alarm system helps rescue patients before infections become fatal. The problem: Machine learning can spot patterns in electronic health data indicating where a patient’s condition is headed that may be too subtle for doctors and nurses to catch.
Illustration of a syring with red liquid inside
AI for Medicine

Treatment — The Elusive Molecule: How deep learning could speed up drug discovery

Will deep learning discover new medicines? Startups — and big-pharma partners — are betting on it. The problem: In theory, there’s a pharmacological cure for just about any ailment. In practice, discovering those therapies takes years and billions of dollars.
Illustration of doctor sheets and a pencil
AI for Medicine

Data — From Patient to Health Record: AI automatically fills out electronic health records.

Doctors are overwhelmed by clerical work. Healthcare-savvy voice assistants are picking up the slack.

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