AI Diagnostics

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Key Facts

Key AreasRadiology, Pathology, Retinal Scans

Key PlayersPathAI, Viz.ai, Google Health

Top News

Samsung AI brings pet health monitoring to Galaxy phones with photo-based disease detection

Samsung unveiled an AI-powered pet care feature at VivaTech 2025 that lets Galaxy phone users detect potential health problems in their pets using just a photo. Developed with startup Lifet, the tool analyzes images for signs of dental disease, cataracts, and patellar luxation with 97% accuracy, offering a hardware-free alternative to traditional pet health monitoring solutions.

Technology2 sources

Samsung AI brings pet health monitoring to Galaxy phones with photo-based disease detection

Technology2 sources

AI analyzes retinal photos to predict Alzheimer's disease risk decades before symptoms appear

University of Florida researchers trained machine learning models on retinal photographs from over 40,000 patients to identify early Alzheimer's disease risk factors. The AI-powered analysis detected biological and lifestyle indicators like blood pressure, smoking, and insomnia by examining the retina's arteries and optic nerve, offering a low-cost alternative to expensive brain scans.

Health2 sources

AI analyzes retinal photos to predict Alzheimer's disease risk decades before symptoms appear

Health2 sources

JMIR Publications explores AI clinical reasoning and digital fatigue in modern healthcare

JMIR Publications released two feature stories examining AI's role in healthcare. One explores how OpenAI's o1 model matched physician performance in clinical decision-making across three care stages. The other investigates digital fatigue in modern health care, where administrative burdens from digital systems contribute to healthcare worker burnout despite automation benefits.

Health2 sources

JMIR Publications explores AI clinical reasoning and digital fatigue in modern healthcare

Health2 sources

Radical Numerics raises $50 million to teach AI the language of biology and defend against threats

Radical Numerics emerged from stealth with $50 million in seed funding to build AI models that read, write, and reason across DNA, RNA, and proteins simultaneously. The team behind generative genomics aims to accelerate drug development and cancer detection while addressing biosecurity risks from AI-designed pathogens. Early partnerships include pancreatic cancer diagnostics and pathogen detection with a national laboratory.

Technology2 sources

Radical Numerics raises $50 million to teach AI the language of biology and defend against threats

Technology2 sources

AI-powered deep brain stimulation adapts in real time to improve gait in Parkinson's disease

Researchers have developed adaptive deep brain stimulation that adjusts electrical pulses in real time based on patient movement. The system uses machine learning to decode brain signals during walking, standing, and obstacle navigation, delivering personalized neuromodulation that improves walking in Parkinson's patients where conventional therapies fall short.

Health3 sources

AI-powered deep brain stimulation adapts in real time to improve gait in Parkinson's disease

Health3 sources

Family blames AI hospital system after woman dies waiting five days for ICU bed in Brazil

A 32-year-old Brazilian woman died after an AI-powered hospital management system allegedly delayed her ICU transfer for five days. Rebeca Cardoso Tenente Molina's family claims the Core-MG system assigned her a lower severity score than her deteriorating condition warranted, preventing doctors from exercising their medical judgment. The case highlights concerns about AI decision-making in critical healthcare situations.

Health2 sources

Family blames AI hospital system after woman dies waiting five days for ICU bed in Brazil

Health2 sources

Hetairos AI classifies brain tumors in 12 minutes with 87% accuracy, outperforming specialists

Researchers at the German Cancer Research Center have developed Hetairos, an AI system that identifies over 100 molecular subtypes of brain tumors using standard microscopic tissue sections. Trained on more than 11,000 slides from 9,606 patients across four continents, the system delivers diagnoses in 12 minutes with 87% accuracy—significantly outperforming experienced neuropathologists in head-to-head testing.

Science2 sources

Hetairos AI classifies brain tumors in 12 minutes with 87% accuracy, outperforming specialists

Science2 sources

Machine learning model plasmaCHORD filters biological noise to improve liquid biopsy accuracy

Researchers at Johns Hopkins Kimmel Cancer Center developed plasmaCHORD, a machine learning model that distinguishes tumor mutations from white blood cell mutations in liquid biopsy samples. The model improved accuracy from approximately 50% to 83% for clinically relevant mutations, helping clinicians select more effective targeted cancer treatments and avoid therapies unlikely to work.

Health2 sources

Machine learning model plasmaCHORD filters biological noise to improve liquid biopsy accuracy

Health2 sources

Common joint supplement glucosamine linked to 25% faster Alzheimer's progression in new study

University of Florida researchers discovered that glucosamine, a widely used over-the-counter joint supplement, is associated with a 25% higher likelihood of progressing from mild cognitive impairment to Alzheimer's disease. The study analyzed 12 years of health records and found the supplement may worsen disease progression in millions of seniors who take it for joint pain.

Health2 sources

Common joint supplement glucosamine linked to 25% faster Alzheimer's progression in new study

Health2 sources

AI screening tool boosts diabetic eye exam referrals for African Americans by 46%

Johns Hopkins researchers found that African American patients with diabetes were significantly more likely to receive diabetic eye exam referrals when screened with an FDA-approved AI tool compared to traditional primary care provider referrals. The AI-assisted diagnostic tool analyzed retinal images in real time, providing immediate results that increased patient adherence to essential screenings for diabetic retinopathy.

Health2 sources

AI screening tool boosts diabetic eye exam referrals for African Americans by 46%

Health2 sources

NHS Doctors Face Legal Risk as AI Liability Gap Leaves Them Exposed to Negligence Claims

The Medical Protection Society warns that doctors and the NHS could become liable for medical errors made by AI tools under outdated UK law. With AI increasingly used for diagnoses and treatment recommendations, the organization calls for urgent legal reform to classify AI systems as products and ensure accountability for AI errors is shared with developers and manufacturers.

Policy2 sources

NHS Doctors Face Legal Risk as AI Liability Gap Leaves Them Exposed to Negligence Claims

Policy2 sources

New AI technology speeds eye disease diagnosis and predicts heart attack, stroke risks from retinal scans

Researchers at Washington University School of Medicine developed OCTCube-M, an AI system that analyzes 3D eye scans to detect retinal diseases more accurately than older models. The technology identified 43 to 60 additional cases per 1,000 individuals and can predict broader health risks including heart attack, stroke, and kidney failure based solely on retinal imaging.

Health2 sources

New AI technology speeds eye disease diagnosis and predicts heart attack, stroke risks from retinal scans

Health2 sources

New AI tool achieves near-perfect accuracy in distinguishing Alzheimer's from Lewy body dementia

University of Florida researchers developed AIDD, an AI-powered tool that combines brain scans with machine learning to distinguish between Alzheimer's disease and dementia with Lewy bodies with near-perfect accuracy. The breakthrough addresses a critical problem: up to 50% of Lewy body dementia patients are misdiagnosed as having Alzheimer's, leading to treatments that can worsen symptoms.

Health2 sources

New AI tool achieves near-perfect accuracy in distinguishing Alzheimer's from Lewy body dementia

Health2 sources

VIAVI Solutions debuts AI Experts to accelerate wireless testing and network validation

VIAVI Solutions has unveiled AI Experts, a new suite of AI-powered tools added to its NITRO AI portfolio. The launch includes three products—OneAdvisor 800 Wireless AI Expert, TM500 AI Expert, and TeraVM AI Expert—designed to automate network testing and validation across field and lab environments, helping engineers reduce manual effort and meet aggressive development timelines.

Technology2 sources

VIAVI Solutions debuts AI Experts to accelerate wireless testing and network validation

Technology2 sources

AI Diagnosis Outperforms Emergency Room Doctors in Harvard Study, Raises Questions on Patient Care

A Harvard Medical School study published in Science reveals that OpenAI's o1 model achieved 67% diagnostic accuracy at emergency room triage, outperforming two attending physicians who scored 55% and 50%. The research tested AI against doctors using real patient data from Beth Israel Deaconess Medical Center, with blinded reviewers unable to distinguish AI output from human diagnoses. While the findings demonstrate AI's potential as a diagnostic tool, researchers emphasize the urgent need for clinical trials and accountability frameworks before deployment in actual patient care settings.

Science16 sources

AI Diagnosis Outperforms Emergency Room Doctors in Harvard Study, Raises Questions on Patient Care

Science16 sources

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