Using AI outreach to raise bowel cancer screening in rural Queensland
Using AI outreach to raise bowel cancer screening in rural Queensland | MobiHealthNews
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Continue ReadingUsing AI outreach to raise bowel cancer screening in rural Queensland | MobiHealthNews
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Continue ReadingFinal rule establishes national reimbursement under OPPS for AI-assisted cardiac analysis, enabling earlier cardiac disease detection in routine outpatient care
What You Should Know:
– Eko Health, a leader in AI-powered cardiac and pulmonary care, announced…
Continue ReadingProfessor Alicja Rudnicka, professor of health and medical sciences at City St George’s, University of London (Credit: Alicja Rudnicka)
We must understand what responsible AI adoption requires when moved out of controlled trials and…
Continue ReadingRare diseases (RD) affect 3.5–5.9% of the global population, yet patients often endure a diagnostic odyssey averaging around 5–6 years, navigating multiple specialties and referrals. This study investigates the use of information content (IC)…
Continue ReadingWhat You Should Know:
– SimonMed Imaging, one of the nation’s largest outpatient medical imaging providers, announced the launch of a new digital health platform, powered by Cascaid Health to ensure women complete vital follow-up…
Continue ReadingAcute exacerbations of chronic obstructive pulmonary disease (AECOPD) are critical clinical events that necessitate prompt intervention, yet their detection remains challenging in primary care, especially in resource-limited regions where a lack of awareness leads…
Continue ReadingCareful selection of skin lesions that require expert evaluation is important for early skin cancer detection. Yet challenges include lack of cost-effective asymptomatic screening, geographical inequality in access to specialty dermatology, and long wait…
Continue ReadingDigital perinatal mental health screening in Australia gets smarter | Healthcare IT News
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Continue ReadingFreenome teams up with Roche for cancer screening tests | MobiHealthNews
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Continue ReadingThis study presents an ensemble learning approach for automated screening and severity classification of chronic kidney disease (CKD) using polysomnographic (PSG) phenotypes. We analyzed PSG data from 358 subjects (179 CKD, 179 early-CKD) in…
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