Deep Medicine: How Artificial Intelligence Can Make Healthcare Human Again
By R. Atkinson. 2019
942 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/e8f834463b7540a3db591a19c1025f89d1a1be1d
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Khansa Rasheed
- Junaid Qadir
- Ala Al-Fuqaha
- John B. Torous
- Mohamed Ghaly
- Shiva Maleki Varnosfaderani
- Adeel Razi
- Adnan Qayyum
Citations in the corpus
- Integrated multimodal artificial intelligence framework for healthcare applications (2022, methodology): “To further demonstrate the versatility of the HAIM framework, we also built models to predict the probability that a patient will expire during the next 48 h as a binary classification problem: expired ≤48 h (1) or otherwise (0).”
- Precision Medicine, AI, and the Future of Personalized Health Care (2020, background): “The power of AI technologies to recognize sophisticated patterns and hidden structures has enabled many image-based detection and diagnostic systems in healthcare to perform as well or better than clinicians, in some cases.(19) AI-enabled clinical decision-support systems may reduce diagnostic error”
- ChatGPT outperforms humans in emotional awareness evaluations (2023, background): “The proposed uses are diverse, including assistance in diagnostics (Bzdok and Meyer-Lindenberg, 2018) and administrative tasks to give clinicians more time with patients (Topol, 2019).”
- The Role of AI in Hospitals and Clinics: Transforming Healthcare in the 21st Century (2024, background): “In the field of treatment plans [8].”
- ARTIFICIAL INTELLIGENCE AND PERSONALIZED MEDICINE (2019, background): “[ 91, 92] Ultimately, enthusiasm for leveraging AI techniques is not likely to slow down any time soon.”
- Artificial Intelligence for Mental Healthcare: Clinical Applications, Barriers, Facilitators, and Artificial Wisdom (2021, background): “AI technologies offer a way to streamline tasks that do not require a “human touch” and thus provide complementary support that enables clinicians to focus on delivering more empathic care, thus "humanizing” medical practice (11).”
- Explainable, trustworthy, and ethical machine learning for healthcare: A survey (2021, background): “In 2019, Topol crowned this trio by publishing Deep Medicine: How Artificial Intelligence Can Make Healthcare Human Again, where AI technologies were introduced as the main drive of the promised revolutionization of medicine [144].”