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Mashup Score: 2
This cross-sectional survey study evaluates oncologists’ views on the ethical domains of the use of artificial intelligence (AI) in clinical care, including familiarity, predictions, explainability, bias, deference, and responsibilities.
Source: jamanetwork.comCategories: General Medicine News, General HCPsTweet
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Mashup Score: 8
While LLMs excel at semantic interpretation, their ability to interpret complex spatial and visual recognition differences is limited. Gaps in these two areas are why jailbreak attacks launched with ASCII art succeed.
Source: venturebeat.comCategories: General Medicine News, Future of MedicineTweet
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Mashup Score: 8
While LLMs excel at semantic interpretation, their ability to interpret complex spatial and visual recognition differences is limited. Gaps in these two areas are why jailbreak attacks launched with ASCII art succeed.
Source: venturebeat.comCategories: General Medicine News, Future of MedicineTweet
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Mashup Score: 4Hybrid underwater robot takes aim at scuba-diving tasks - 1 day(s) ago
The uOne underwater robot may soon be taking on risky, labor-intensive tasks currently performed by human scuba divers. It boasts a unique combination of traits from two different types of undersea bots.
Source: newatlas.comCategories: General Medicine News, General HCPsTweet
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Mashup Score: 146Artificial intelligence–based assessment of built environment from Google Street View and coronary artery disease prevalence - 1 day(s) ago
AbstractBackground and Aims. Built environment plays an important role in the development of cardiovascular disease. Tools to evaluate the built environmen
Source: academic.oup.comCategories: General Medicine News, Expert PicksTweet
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Mashup Score: 146Artificial intelligence–based assessment of built environment from Google Street View and coronary artery disease prevalence - 2 day(s) ago
AbstractBackground and Aims. Built environment plays an important role in the development of cardiovascular disease. Tools to evaluate the built environmen
Source: academic.oup.comCategories: General Medicine News, Expert PicksTweet
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Mashup Score: 789Deep Learning to Estimate Cardiovascular Risk From Chest Radiographs: A Risk Prediction Study: Annals of Internal Medicine: Vol 0, No 0 - 2 day(s) ago
Background: Guidelines for primary prevention of atherosclerotic cardiovascular disease (ASCVD) recommend a risk calculator (ASCVD risk score) to estimate 10-year risk for major adverse cardiovascular events (MACE). Because the necessary inputs are often missing, complementary approaches for opportunistic risk assessment are desirable. Objective: To develop and test a deep-learning model (CXR CVD-Risk) that estimates 10-year risk for MACE from a routine chest radiograph (CXR) and compare its performance with that of the traditional ASCVD risk score for implications for statin eligibility. Design: Risk prediction study. Setting: Outpatients potentially eligible for primary cardiovascular prevention. Participants: The CXR CVD-Risk model was developed using data from a cancer screening trial. It was externally validated in 8869 outpatients with unknown ASCVD risk because of missing inputs to calculate the ASCVD risk score and in 2132 outpatients with known risk whose ASCVD risk score coul
Source: www.acpjournals.orgCategories: General Medicine News, Expert PicksTweet
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Mashup Score: 15Can brewers use AI to make better beer? - 2 day(s) ago
Belgian scientists are harnessing machine learning to decode the chemical properties behind a great pint
Source: www.science.orgCategories: General Medicine News, Future of MedicineTweet
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Mashup Score: 178The AI doctor will see you…eventually - 2 day(s) ago
Artificial intelligence holds huge promise in health care. But it also faces massive barriers
Source: www.economist.comCategories: General Medicine News, Expert PicksTweet
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Mashup Score: 6
How can AI improve health care? What is an example of AI affecting health care? What is the most significant barrier to AI in health care? At SXSW 2024, AMA …
Source: www.youtube.comCategories: General Medicine News, General HCPsTweet
This study suggests that concerns about ethical issues, including explainability, patient consent, and responsibility, may impede optimal adoption of #AI into cancer care. https://t.co/KBxJN7jgEh