Rami Shaman

4 statements · 1 topic · summaries given as host listed separately

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Rami's statements about Cancer 4 statements

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Disruptive AI technologies transforming healthcare and medical education

▶ Ep 7 · 3:31
epidemiological Netflix wanted to hire an AI specialist for a million dollars a year salary ↗
▶ Ep 7 · 3:42
quote AI is not actually replacing, they're replacing people who doesn't know to use AI with people who knows how to use the AI. ↗
▶ Ep 7 · 3:42
opinion AI is replacing people who don't know how to use AI with people who know how to use AI ↗
▶ Ep 7 · 34:03
clinical Cincinnati Children's has a membership for Wysa mental health chatbot that employees can access with their work email address ↗

Summaries Rami gave as host · 10 summaries

Recaps of other experts' statements, not Rami's own clinical position.

Summaries Rami gave as host · Cancer 10 summaries

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Disruptive AI technologies transforming healthcare and medical education

▶ Ep 7 · 5:14
host summary Rami Shaman summarizing the discussion: We have reached a point where we don't send an email, make a shopping list, prepare a PowerPoint presentation, or even plan a vacation without first consulting something like Chachi BT. ↗
▶ Ep 7 · 6:20
host summary Rami Shaman summarizing the discussion: AI algorithms can analyze radiology images to detect early signs of cancer or predict a patient's risk of developing certain diseases based on medical history ↗
▶ Ep 7 · 7:17
host summary Rami Shaman summarizing the discussion: AI can help with earlier disease detection, perfecting robotic surgery, administrative tasks, reducing human errors through diagnostic assistance, and personalized treatment recommendations based on genetic makeup and disease history ↗
▶ Ep 7 · 7:48
host summary Rami Shaman summarizing the discussion: Google's DeepMind AlphaFold system predicts protein 3D structure from amino acid sequence with potential applications in understanding diseases and drug discovery ↗
▶ Ep 7 · 8:39
host summary Rami Shaman summarizing the discussion: AlphaFold Database provides open access to over 200 million structure predictions to accelerate scientific research ↗
▶ Ep 7 · 10:32
host summary Rami Shaman summarizing the discussion: Zebra Medical Vision uses ML to analyze medical imaging and detect diseases in organs such as liver, cardiovascular, and lungs ↗
▶ Ep 7 · 10:41
host summary Rami Shaman summarizing the discussion: Path AI concentrates on delivering more accurate diagnosis from pathology slides ↗
▶ Ep 7 · 11:45
host summary Rami Shaman summarizing the discussion: Tempus leverages ML to assist physicians in making more personalized treatment decisions, particularly for oncology patients ↗
▶ Ep 7 · 12:28
host summary Rami Shaman summarizing the discussion: Wysa provides emotional help by tracking mood, highlighting optimism, and reframing thinking in an approachable manner ↗
▶ Ep 7 · 14:26
host summary Rami Shaman summarizing the discussion: LLMs can automate documentation, assist in medical data entry, and respond to routine queries, freeing up valuable time for medical professionals ↗