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AI can Find Cancer Pathologists Miss

Men assessed as healthy after a pathologist analyses their tissue sample may still have an early form of prostate cancer. Using AI, researchers at Uppsala University have been able to find subtle tissue changes that allow the cancer to be detected long before it becomes visible to the human eye.

Previous research has demonstrated that AI is able to detect tissue changes indicative of cancer.

AI, Full Automation could Expand Artificial Pancreas to More Diabetes Patients

Automated insulin delivery (AID) systems such as the UVA Health-developed artificial pancreas could help more type 1 diabetes patients if the devices become fully automated, according to a new review of the technology.

Even as the artificial pancreas and other AID systems have helped millions of people with type 1 diabetes better manage their blood sugar and

Unlocking the 10 Year Health Plan

The government's plan for the NHS is a huge document. Jane Stephenson, chief executive of SPARK TSL, argues the key to unlocking its digital ambitions is to consider what it has to say about the shift from CDs to digital music.

How can trusts and health boards make the same shift from analogue to digital delivery, while lowering costs and improving satisfaction and engagement?

AI Hybrid Strategy Improves Mammogram Interpretation

A hybrid reading strategy for screening mammography, developed by Dutch researchers and deployed retrospectively to more than 40,000 exams, reduced radiologist workload by 38% without changing recall or cancer detection rates. The study, which emphasizes AI confidence, was published in Radiology, a journal of the Radiological Society of North America (RSNA).

How AI could Speed the Development of RNA Vaccines and other RNA Therapies

Using artificial intelligence (AI), MIT researchers have come up with a new way to design nanoparticles that can more efficiently deliver RNA vaccines and other types of RNA therapies.

After training a machine-learning model to analyze thousands of existing delivery particles, the researchers used it to predict new materials that would work even better.

MIT Researchers Use Generative AI to Design Compounds that can Kill Drug-Resistant Bacteria

With help from artificial intelligence, MIT researchers have designed novel antibiotics that can combat two hard-to-treat infections: drug-resistant Neisseria gonorrhoeae and multi-drug-resistant Staphylococcus aureus (MRSA).

Using generative AI algorithms, the research team designed more than 36 million possible compounds and computationally screened them for antimicrobial properties.

Penn Developed AI Tools and Datasets Help Tailor Treatments for Kidney Patients

Doctors treating kidney disease have long depended on trial-and-error to find the best therapies for individual patients. Now, new artificial intelligence (AI) tools developed by researchers in the Perelman School of Medicine and the Wharton School at the University of Pennsylvania can analyze kidney disease at the cellular level to match the most effective treatments and speed up solutions.

Routine AI Assistance may Lead to Loss of Skills in Health Professionals Who Perform Colonoscopies

The introduction of artificial intelligence (AI) to assist colonoscopies is linked to a reduction in the ability of endoscopists (health professionals who perform colonoscopies) to detect precancerous growths (adenomas) in the colon without AI assistance, according to a paper published in The Lancet Gastroenterology & Hepatology journal.

AI also Assesses Dutch Mammograms Better than Radiologists

AI is detecting tumors more often and earlier in the Dutch breast cancer screening program. Those tumors can then be treated at an earlier stage. This has been demonstrated by researchers led by Radboud university medical center in a study published in The Lancet Digital Health. The use of AI could reduce workload and save millions of euros annually.

RSNA AI Challenge Models can Independently Interpret Mammograms

Algorithms submitted for an AI Challenge hosted by the Radiological Society of North America (RSNA) have shown excellent performance for detecting breast cancers on mammography images, increasing screening sensitivity while maintaining low recall rates, according to a study published today in Radiology, the premier journal of the RSNA.

The RSNA Screening Mammography Breast Cancer Detection AI Challenge was a crowdsourced competition that took place in 2023, with more than 1,500 teams participating.

DIGITAL HEALTH NEWS

AI can Find Cancer Pathologists Miss

AI, Full Automation could Expand Artificial Pancreas to More Diabetes Patients

Unlocking the 10 Year Health Plan

AI Hybrid Strategy Improves Mammogram Interpretation

How AI could Speed the Development of RNA Vaccines and other RNA Therapies

MIT Researchers Use Generative AI to Design Compounds that can Kill Drug-Resistant Bacteria

Penn Developed AI Tools and Datasets Help Tailor Treatments for Kidney Patients

Routine AI Assistance may Lead to Loss of Skills in Health Professionals Who Perform Colonoscopies

AI also Assesses Dutch Mammograms Better than Radiologists

RSNA AI Challenge Models can Independently Interpret Mammograms

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